Interdisciplinary Sciences - Computational Life Sciences

Aims & Scope

Interdisciplinary Sciences--Computational Life Sciences aims to cover the most recent and outstanding developments in interdisciplinary areas of sciences, especially focusing on computational life sciences, an area that is enjoying rapid development at the forefront of scientific research and technology.

The journal publishes original papers of significant general interest covering recent research and developments.

Articles will be published rapidly by taking full advantage of internet technology for online submission and peer-reviewing of manuscripts, and then by publishing OnlineFirstTM through SpringerLink even before the issue is built or sent to the printer.

The editorial board consists of many leading scientists with international reputation, among others, Luc Montagnier (UNESCO, France), Dennis Salahub (University of Calgary, Canada), Weitao Yang (Duke University, USA).

Prof.

Dongqing Wei at the Shanghai Jiatong University is appointed as the editor-in-chief; he made important contributions in bioinformatics and computational physics and is best known for his ground-breaking works on the theory of ferroelectric liquids.

With the help from a team of associate editors and the editorial board, an international journal with sound reputation shall be created.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	3.9
2024	3.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.612

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	37

Journal Rank

Year	Value
2024	9477

Journal Citation Indicator

Year	Value
2024	812

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, Computer Science and Medicine, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• An Overview of Scoring Functions Used for Protein–Ligand Interactions in Molecular Docking

  Citation: 327

  Authors: Jin, Ailing, Le

• Review of CRISPR/Cas9 sgRNA Design Tools

  Citation: 192

  Authors: Yingbo, Jiaming, Minxia, Xiangke, Shaoliang

• Electromagnetic signals are produced by aqueous nanostructures derived from bacterial DNA sequences

  Citation: 163

  Authors: Luc, Jamal, Stéphane, Jean-Luc, Claude

• Using Network Distance Analysis to Predict lncRNA–miRNA Interactions

  Citation: 163

  Authors: Li, Pengyu, Huawei, Qi, Hongsheng

• A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images

  Citation: 149

  Authors: Jawad, Alaa Ali, Chawki, Akhtar, Fadi

• Deep Learning Based Capsule Neural Network Model for Breast Cancer Diagnosis Using Mammogram Images

  Citation: 131

  Authors: T., Paul P., C., M., Rachna, J., S.

• Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov

  Citation: 114

  Authors: Haiping, Konda Mani, Yang, Md. Tofazzal, Junxin, Xiaohu, Yi, Yanjie

• DON: Deep Learning and Optimization-Based Framework for Detection of Novel Coronavirus Disease Using X-ray Images

  Citation: 110

  Authors: Gaurav, V., Amandeep, Ashutosh

• Conformational Preferences of π–π Stacking Between Ligand and Protein, Analysis Derived from Crystal Structure Data Geometric Preference of π–π Interaction

  Citation: 102

  Authors: Yuan, Jue, Hui, Dongqing, Yao-chang, Wei, Zhengtian

• Exploration of Novel Human Tyrosinase Inhibitors by Molecular Modeling, Docking and Simulation Studies

  Citation: 100

  Authors: Mubashir, Zaman, Qamar, Hussain, Sung-Yum

---