Samik Ghosh
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- PI3K/AKT/mTOR signaling in cancer
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Gene Regulatory Network Analysis 19
- Bioinformatics and Genomic Networks 15
- Microbial Metabolic Engineering and Bioproduction 9
- Gene expression and cancer classification 4
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- Computational Drug Discovery Methods 6
- Co-authors
- Hiroaki Kitano (30 shared papers)Kun‐Yi Hsin (4 shared papers)Yukiko Matsuoka (10 shared papers)Yukiko Matsuoka (9 shared papers)Yoshiyuki Asai (4 shared papers)Ayako Yachie‐Kinoshita (5 shared papers)Takeshi Hase (9 shared papers)Heather A. Harrington (1 shared paper)
- Journals
- BMC Genomics (4 papers)PLoS ONE (3 papers)npj Systems Biology and Applications (3 papers)BMC Systems Biology (2 papers)Drug Discovery Today (2 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Samik Ghosh
48 papers receiving 2.2k citations
Samik Ghosh's Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 1.1k
- Hepatology 104
- Computational Theory and Mathematics 220
- Pharmacology 110
- Aging 19
Countries citing papers authored by Samik Ghosh
This map shows the geographic impact of Samik Ghosh'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 Samik Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samik Ghosh more than expected).
Fields of papers citing papers by Samik Ghosh
This network shows the impact of papers produced by Samik Ghosh. 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 Samik Ghosh. The network helps show where Samik Ghosh may publish in the future.
Co-authors
The 25 scholars most cited alongside Samik Ghosh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combining Machine Learning Systems and Multiple Docking Simulation Packages to Improve Docking Prediction Reliability for Network Pharmacology Hit paper breakdown → | 2013 | 420 |
| 2 | Lenvatinib plus anti-PD-1 antibody combination treatment activates CD8+ T cells through reduction of tumor-associated macrophage and activation of the interferon pathway Hit paper breakdown → | 2019 | 354 |
| 3 | 2010 | 194 | |
| 4 | 2011 | 180 | |
| 5 | 2013 | 173 | |
| 6 | 2012 | 103 | |
| 7 | 2008 | 99 | |
| 8 | 2013 | 85 | |
| 9 | 2012 | 75 | |
| 10 | 2010 | 55 | |
| 11 | 2021 | 53 | |
| 12 | 2014 | 50 | |
| 13 | 2010 | 43 | |
| 14 | 2016 | 37 | |
| 15 | 2016 | 34 | |
| 16 | 2013 | 28 | |
| 17 | 2017 | 27 | |
| 18 | 2016 | 25 | |
| 19 | 2011 | 23 | |
| 20 | 2019 | 21 |
About Samik Ghosh
Samik Ghosh is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biophysics, Computer Networks and Communications and Genetics, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (19 papers), Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Computational Drug Discovery Methods (6 papers), Gene expression and cancer classification (4 papers), Cell Image Analysis Techniques (4 papers), Evolution and Genetic Dynamics (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Hepatology (104 citations), Computational Theory and Mathematics (220 citations), Pharmacology (110 citations) and Aging (19 citations). Samik Ghosh has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hiroaki Kitano, Kun‐Yi Hsin, Yukiko Matsuoka, Yukiko Matsuoka, Yoshiyuki Asai, Ayako Yachie‐Kinoshita, Takeshi Hase, Heather A. Harrington, Kenneth L. Ho and Étienne Caron. Their work appears in journals such as BMC Genomics, PLoS ONE, npj Systems Biology and Applications, BMC Systems Biology and Drug Discovery Today.
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.