Rahul Semwal
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
-
- Biochemical Analysis and Sensing Techniques
Papers in
-
- Machine Learning in Bioinformatics 5
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Epigenetics and DNA Methylation 2
- Oncology 4
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Pritish Kumar Varadwaj (16 shared papers)Imlimaong Aier (12 shared papers)Anju Sharma (5 shared papers)Pankaj Tyagi (6 shared papers)Rajnish Kumar (2 shared papers)Utkarsh Raj (5 shared papers)Uma Shanker Tiwary (2 shared papers)Anju Sharma (1 shared paper)
In The Last Decade
Rahul Semwal
16 papers receiving 319 citations
Peers
Comparison fields: 5 of 97
- Sensory Systems 86
- Nutrition and Dietetics 37
- Oncology 61
- Cancer Research 31
- Biomedical Engineering 87
Countries citing papers authored by Rahul Semwal
This map shows the geographic impact of Rahul Semwal'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 Rahul Semwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Semwal more than expected).
Fields of papers citing papers by Rahul Semwal
This network shows the impact of papers produced by Rahul Semwal. 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 Rahul Semwal. The network helps show where Rahul Semwal may publish in the future.
Co-authors
The 10 scholars most cited alongside Rahul Semwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 101 | |
| 2 | 2018 | 98 | |
| 3 | 2020 | 25 | |
| 4 | 2022 | 20 | |
| 5 | 2023 | 15 | |
| 6 | 2020 | 10 | |
| 7 | 2018 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2017 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2017 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 1 | |
| 16 | 2019 | 1 |
About Rahul Semwal
Rahul Semwal is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Sensory Systems and Biomedical Engineering, having authored 16 papers that have together received 329 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (3 papers), Olfactory and Sensory Function Studies (3 papers), Advanced Chemical Sensor Technologies (3 papers), Gene expression and cancer classification (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Sensory Systems (86 citations), Nutrition and Dietetics (37 citations), Oncology (61 citations), Cancer Research (31 citations) and Biomedical Engineering (87 citations). Rahul Semwal has collaborated with scholars based in India and Russia. Frequent co-authors include Pritish Kumar Varadwaj, Imlimaong Aier, Anju Sharma, Pankaj Tyagi, Rajnish Kumar, Utkarsh Raj, Uma Shanker Tiwary, Anju Sharma, Nidhi Mishra and Nirmalya Sen. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Neural Computing and Applications, PLoS ONE, Current Neuropharmacology and IEEE/ACM Transactions on Computational Biology 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.