Arpit Tandon
Impact in
- Health Informatics top 5%
-
- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
Papers in
-
- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
- Metabolomics and Mass Spectrometry Studies 2
- Oncology 3
- Co-authors
- Ruchir Shah (10 shared papers)Jason Phillips (6 shared papers)Deepak Mav (5 shared papers)Brian E. Howard (6 shared papers)Andrew A. Rooney (2 shared papers)B. Alex Merrick (4 shared papers)Vickie R. Walker (2 shared papers)Kristina A. Thayer (2 shared papers)
- Journals
- BMC Bioinformatics (2 papers)SLAS DISCOVERY (1 paper)Bioinformatics (1 paper)Structure (1 paper)Toxicology in Vitro (1 paper)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Arpit Tandon
19 papers receiving 692 citations
Peers
Comparison fields: 5 of 131
- Health Informatics 23
- Health, Toxicology and Mutagenesis 147
- Small Animals 70
- Statistics, Probability and Uncertainty 56
- Cancer Research 111
Countries citing papers authored by Arpit Tandon
This map shows the geographic impact of Arpit Tandon'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 Arpit Tandon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpit Tandon more than expected).
Fields of papers citing papers by Arpit Tandon
This network shows the impact of papers produced by Arpit Tandon. 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 Arpit Tandon. The network helps show where Arpit Tandon may publish in the future.
Co-authors
The 25 scholars most cited alongside Arpit Tandon, 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 | 153 | |
| 2 | 2016 | 120 | |
| 3 | 2020 | 90 | |
| 4 | 2020 | 45 | |
| 5 | 2012 | 44 | |
| 6 | 2017 | 41 | |
| 7 | 2011 | 31 | |
| 8 | 2016 | 30 | |
| 9 | 2011 | 25 | |
| 10 | 2017 | 22 | |
| 11 | 2020 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2014 | 17 | |
| 14 | 2014 | 14 | |
| 15 | 2013 | 14 | |
| 16 | 2022 | 9 | |
| 17 | 2017 | 6 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 1 |
About Arpit Tandon
Arpit Tandon is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Cancer Research and Small Animals, having authored 19 papers that have together received 701 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Animal testing and alternatives (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related molecular mechanisms research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Health Informatics (23 citations), Health, Toxicology and Mutagenesis (147 citations), Small Animals (70 citations), Statistics, Probability and Uncertainty (56 citations) and Cancer Research (111 citations). Arpit Tandon has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Ruchir Shah, Jason Phillips, Deepak Mav, Brian E. Howard, Andrew A. Rooney, B. Alex Merrick, Vickie R. Walker, Kristina A. Thayer, Siddharth Sinha and Cristian Coarfa. Their work appears in journals such as BMC Bioinformatics, SLAS DISCOVERY, Bioinformatics, Structure and Toxicology in Vitro.
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.