Sanjay Saha

402 citations
16 papers · 263 · h-index 6

Impact in

    • Machine Learning in Bioinformatics
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • vaccines and immunoinformatics approaches
    • Protein Structure and Dynamics
    • Computational Drug Discovery Methods

Papers in

Sanjay Saha

14 papers receiving 261 citations

Peers

Sanjay Saha
Comparison fields: 5 of 64
  • Molecular Biology 204
  • Computational Theory and Mathematics 32
  • Clinical Biochemistry 11
  • Health Informatics 2
  • Health Information Management 6
Replace Kyriakos Efthymiadis with:
Kyriakos Efthymiadis Belgium
Maxwell L. Bileschi United States
Yosvany López Japan
Zhe Ju China
Elena Beißwanger Germany
Guangmin Liang China
Ahmad Hassan Butt Pakistan
Jan Taubert United Kingdom
Advait Balaji United States
Mirko Torrisi Ireland
Sanjay Saha relative to Kyriakos Efthymiadis Belgium Kyriakos Efthymiadis's profile →
Citations per field
00.5×8.3×
Kyriakos Efthymiadis · 1×
Citations per year

Countries citing papers authored by Sanjay Saha

Since Specialization
Citations

This map shows the geographic impact of Sanjay Saha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sanjay Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Saha more than expected).

Fields of papers citing papers by Sanjay Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjay Saha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sanjay Saha. The network helps show where Sanjay Saha may publish in the future.

Co-authors

The 25 scholars most cited alongside Sanjay Saha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sanjay Saha Line = papers co-authored together Sanjay Saha links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2018123
2 201935
3 201830
4 201727
5 202117
6 201510
7 20234
8 20194
9 20243
10 20243
11 20253
12 20172
13 20251
14 20221
15 20190
16 20170

About Sanjay Saha

Sanjay Saha is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Infectious Diseases, having authored 16 papers that have together received 263 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (3 papers), Face recognition and analysis (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), User Authentication and Security Systems (2 papers), Advanced Authentication Protocols Security (1 paper), Computational Drug Discovery Methods (1 paper) and Biometric Identification and Security (1 paper). The work is most often cited by research in Molecular Biology (204 citations), Computational Theory and Mathematics (32 citations), Clinical Biochemistry (11 citations), Health Informatics (2 citations) and Health Information Management (6 citations). Sanjay Saha has collaborated with scholars based in Bangladesh, Singapore and Australia. Frequent co-authors include Swakkhar Shatabda, M. Kaykobad, Mohammad Saifur Rahman, M. Sohel Rahman, Abdollah Dehzangi, Alok Sharma, Md. Khaledur Rahman, Md Mofijul Islam, Dewan Md. Farid and Aanchal Mongia. Their work appears in journals such as Journal of Theoretical Biology, Artificial Intelligence in Medicine, Scientific Reports, Computers in Human Behavior and Proteins Structure Function and Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact