Samik Ghosh

4.5k total citations · 2 hit papers
47 papers, 2.2k citations indexed

About

Samik Ghosh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Samik Ghosh has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 4 papers in Genetics. Recurrent topics in Samik Ghosh's work include Gene Regulatory Network Analysis (20 papers), Bioinformatics and Genomic Networks (20 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Samik Ghosh is often cited by papers focused on Gene Regulatory Network Analysis (20 papers), Bioinformatics and Genomic Networks (20 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Samik Ghosh collaborates with scholars based in Japan, United States and Switzerland. Samik Ghosh's 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 and has published in prestigious journals such as Bioinformatics, PLoS ONE and Nature Reviews Genetics.

In The Last Decade

Samik Ghosh

47 papers receiving 2.1k citations

Hit Papers

Combining Machine Learning Systems and Multiple Docking S... 2013 2026 2017 2021 2013 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samik Ghosh Japan 19 1.2k 318 264 215 166 47 2.2k
Federico Goodsaid United States 25 1.1k 0.9× 165 0.5× 224 0.8× 227 1.1× 187 1.1× 60 2.3k
Yukiko Matsuoka Japan 19 879 0.7× 311 1.0× 187 0.7× 235 1.1× 64 0.4× 33 1.6k
Yinyin Wang China 31 1.7k 1.4× 507 1.6× 298 1.1× 258 1.2× 137 0.8× 121 2.9k
Barry Demchak United States 13 1.6k 1.3× 143 0.4× 216 0.8× 200 0.9× 138 0.8× 22 2.7k
Javier Garcı́a-Garcı́a Spain 18 1.7k 1.4× 148 0.5× 449 1.7× 145 0.7× 225 1.4× 46 2.6k
Hsin‐Yi Chen Taiwan 29 1.5k 1.2× 359 1.1× 233 0.9× 175 0.8× 104 0.6× 70 2.6k
Juan Manuel Ramírez‐Anguita Spain 9 1.5k 1.2× 109 0.3× 291 1.1× 140 0.7× 217 1.3× 21 2.3k
Ruth March United Kingdom 14 567 0.5× 274 0.9× 359 1.4× 300 1.4× 280 1.7× 29 2.1k
Ying Zhou China 30 2.0k 1.6× 357 1.1× 395 1.5× 250 1.2× 232 1.4× 128 3.8k

Countries citing papers authored by Samik Ghosh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Samik Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Samik Ghosh. A scholar is included among the top collaborators of Samik Ghosh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samik Ghosh. Samik Ghosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hase, Takeshi, Samik Ghosh, Ken‐ichi Aisaki, et al.. (2024). DTox: A deep neural network-based <i>in visio</i> lens for large scale toxicogenomics data. The Journal of Toxicological Sciences. 49(3). 105–115. 1 indexed citations
2.
Hase, Takeshi, et al.. (2024). Noninvasive, label-free image approaches to predict multimodal molecular markers in pluripotency assessment. Scientific Reports. 14(1). 15760–15760. 1 indexed citations
4.
Marescotti, Diego, et al.. (2022). AI-driven laboratory workflows enable operation in the age of social distancing. SLAS TECHNOLOGY. 27(3). 195–203. 10 indexed citations
5.
Ghosh, Samik, et al.. (2022). Large scale text mining for deriving useful insights: A case study focused on microbiome. Frontiers in Physiology. 13. 933069–933069. 3 indexed citations
6.
Tsuji, Shingo, Takeshi Hase, Ayako Yachie‐Kinoshita, et al.. (2021). Artificial intelligence-based computational framework for drug-target prioritization and inference of novel repositionable drugs for Alzheimer’s disease. Alzheimer s Research & Therapy. 13(1). 92–92. 49 indexed citations
7.
Kato, Yu, Kimiyo Tabata, Takayuki Kimura, et al.. (2019). Lenvatinib plus anti-PD-1 antibody combination treatment activates CD8+ T cells through reduction of tumor-associated macrophage and activation of the interferon pathway. PLoS ONE. 14(2). e0212513–e0212513. 341 indexed citations breakdown →
8.
Horton, Paul, et al.. (2018). Sequence homology in eukaryotes (SHOE): interactive visual tool for promoter analysis. BMC Genomics. 19(1). 715–715. 1 indexed citations
9.
Kawakami, Eiryo, Vivek Kumar Singh, Takashi Ishii, et al.. (2016). Network analyses based on comprehensive molecular interaction maps reveal robust control structures in yeast stress response pathways. npj Systems Biology and Applications. 2(1). 15018–15018. 24 indexed citations
10.
Matsuoka, Yukiko, Akira Funahashi, Samik Ghosh, & Hiroaki Kitano. (2014). Modeling and Simulation Using CellDesigner. Methods in molecular biology. 1164. 121–145. 50 indexed citations
11.
Hsin, Kun‐Yi, Samik Ghosh, & Hiroaki Kitano. (2013). Combining Machine Learning Systems and Multiple Docking Simulation Packages to Improve Docking Prediction Reliability for Network Pharmacology. PLoS ONE. 8(12). e83922–e83922. 398 indexed citations breakdown →
12.
Shoemaker, Jason E., Tiago J. S. Lopes, Samik Ghosh, et al.. (2012). CTen: a web-based platform for identifying enriched cell types from heterogeneous microarray data. BMC Genomics. 13(1). 460–460. 75 indexed citations
13.
Mizuno, Satoshi, Soichi Ogishima, Masataka Kikuchi, et al.. (2012). AlzPathway: a comprehensive map of signaling pathways of Alzheimer’s disease. BMC Systems Biology. 6(1). 52–52. 101 indexed citations
14.
Kitano, Hiroaki, Samik Ghosh, & Yukiko Matsuoka. (2011). Social engineering for virtual 'big science' in systems biology. Nature Chemical Biology. 7(6). 323–326. 23 indexed citations
15.
Ghosh, Samik, Yukiko Matsuoka, Yoshiyuki Asai, Kun‐Yi Hsin, & Hiroaki Kitano. (2011). Software for systems biology: from tools to integrated platforms. Nature Reviews Genetics. 12(12). 821–832. 180 indexed citations
16.
Ghosh, Samik, Yukiko Matsuoka, & Hiroaki Kitano. (2010). Connecting the dots: role of standardization and technology sharing in biological simulation. Drug Discovery Today. 15(23-24). 1024–1031. 4 indexed citations
17.
Caron, Étienne, Samik Ghosh, Yukiko Matsuoka, et al.. (2010). A comprehensive map of the mTOR signaling network. Molecular Systems Biology. 6(1). 453–453. 193 indexed citations
18.
Ghosh, Preetam, Samik Ghosh, Kalyan Basu, Sajal K. Das, & Chaoyang Zhang. (2010). Discrete diffusion models to study the effects of Mg2+ concentration on the PhoPQ signal transduction system. BMC Genomics. 11(Suppl 3). S3–S3. 7 indexed citations
19.
Harrington, Heather A., et al.. (2008). Construction and analysis of a modular model of caspase activation in apoptosis. Theoretical Biology and Medical Modelling. 5(1). 26–26. 98 indexed citations
20.
Ghosh, Samik, et al.. (2007). 2007 2nd International Symposium on Wireless Pervasive Computing. 5 indexed citations

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.

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