Anup Som
Impact in
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- Genomics and Phylogenetic Studies
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
Papers in
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- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 6
- CRISPR and Genetic Engineering 5
- Pluripotent Stem Cells Research 4
- RNA Research and Splicing 4
- Machine Learning in Bioinformatics 4
- Genetics 8
- Genetic diversity and population structure 5
- Co-authors
- Georg Fuellen (4 shared papers)Hans R. Schöler (2 shared papers)Gregor Warsow (2 shared papers)Marcin Siatkowski (2 shared papers)Boris Greber (2 shared papers)Vishal Singh (3 shared papers)Richa Mishra (3 shared papers)Ramendra K. Singh (3 shared papers)
- Journals
- Gene (3 papers)Journal of Biomolecular Structure and Dynamics (3 papers)Current Microbiology (2 papers)Theory in Biosciences (2 papers)Mathematical Biosciences (1 paper)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Anup Som
35 papers receiving 466 citations
Peers
Comparison fields: 5 of 84
- Aging 11
- Molecular Biology 271
- Cancer Research 41
- Genetics 71
- Ecology, Evolution, Behavior and Systematics 45
Countries citing papers authored by Anup Som
This map shows the geographic impact of Anup Som'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 Anup Som with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anup Som more than expected).
Fields of papers citing papers by Anup Som
This network shows the impact of papers produced by Anup Som. 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 Anup Som. The network helps show where Anup Som may publish in the future.
Co-authors
The 25 scholars most cited alongside Anup Som, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 128 | |
| 2 | 2010 | 61 | |
| 3 | 2010 | 55 | |
| 4 | 2021 | 38 | |
| 5 | 2022 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2009 | 14 | |
| 8 | 2006 | 14 | |
| 9 | 2001 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2009 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2003 | 7 | |
| 18 | 2012 | 5 | |
| 19 | 2022 | 4 | |
| 20 | Reconstruction, visualization and explorative analysis of human pluripotency network | 2017 | 3 |
About Anup Som
Anup Som is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Infectious Diseases, having authored 38 papers that have together received 479 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (6 papers), Helicobacter pylori-related gastroenterology studies (5 papers), CRISPR and Genetic Engineering (5 papers), Genetic diversity and population structure (5 papers), Pluripotent Stem Cells Research (4 papers), RNA Research and Splicing (4 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Aging (11 citations), Molecular Biology (271 citations), Cancer Research (41 citations), Genetics (71 citations) and Ecology, Evolution, Behavior and Systematics (45 citations). Anup Som has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Georg Fuellen, Hans R. Schöler, Gregor Warsow, Marcin Siatkowski, Boris Greber, Vishal Singh, Richa Mishra, Ramendra K. Singh, Jayprokas Chakrabarti and Yogesh Paudel. Their work appears in journals such as Gene, Journal of Biomolecular Structure and Dynamics, Current Microbiology, Theory in Biosciences and Mathematical Biosciences.
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.