Nishith Gupta
Impact in
- Parasitology top 0.5%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Parasitology 41
- Toxoplasma gondii Research Studies 34
- Parasitic Infections and Diagnostics 10
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- Heme Oxygenase-1 and Carbon Monoxide 4
- Metabolism, Diabetes, and Cancer 3
- Co-authors
- Fude Fang (7 shared papers)Yongsheng Chang (7 shared papers)Liuluan Zhu (3 shared papers)Richard Lucius (11 shared papers)Aibin He (2 shared papers)Dennis R. Voelker (3 shared papers)Martin Blume (2 shared papers)Isabelle Coppens (2 shared papers)
In The Last Decade
Nishith Gupta
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 97
- Parasitology 806
- Cancer Research 288
- Virology 86
- Epidemiology 563
- Molecular Biology 769
Countries citing papers authored by Nishith Gupta
This map shows the geographic impact of Nishith Gupta'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 Nishith Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishith Gupta more than expected).
Fields of papers citing papers by Nishith Gupta
This network shows the impact of papers produced by Nishith Gupta. 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 Nishith Gupta. The network helps show where Nishith Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Nishith Gupta, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 350 | |
| 2 | 2010 | 127 | |
| 3 | 2009 | 117 | |
| 4 | 2005 | 90 | |
| 5 | 2015 | 64 | |
| 6 | 2016 | 56 | |
| 7 | 2019 | 56 | |
| 8 | 2015 | 55 | |
| 9 | 2015 | 50 | |
| 10 | 2018 | 48 | |
| 11 | 2009 | 40 | |
| 12 | 2020 | 39 | |
| 13 | 2007 | 36 | |
| 14 | 2014 | 36 | |
| 15 | 2013 | 32 | |
| 16 | 2017 | 32 | |
| 17 | 2012 | 32 | |
| 18 | 2017 | 29 | |
| 19 | 2018 | 28 | |
| 20 | 2012 | 27 |
About Nishith Gupta
Nishith Gupta is a scholar working on Parasitology, Molecular Biology, Epidemiology, Cell Biology and Plant Science, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (34 papers), Autophagy in Disease and Therapy (16 papers), Parasitic Infections and Diagnostics (10 papers), Coccidia and coccidiosis research (7 papers), Cytomegalovirus and herpesvirus research (7 papers), Helminth infection and control (6 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Parasitology (806 citations), Cancer Research (288 citations), Virology (86 citations), Epidemiology (563 citations) and Molecular Biology (769 citations). Nishith Gupta has collaborated with scholars based in Germany, China and India. Frequent co-authors include Fude Fang, Yongsheng Chang, Liuluan Zhu, Richard Lucius, Aibin He, Dennis R. Voelker, Martin Blume, Isabelle Coppens, Vyacheslav Zagoriy and Jos F. Brouwers. Their work appears in journals such as Journal of Biological Chemistry, Computational and Structural Biotechnology Journal, Communications Biology, mBio and Frontiers in Cellular and Infection Microbiology.
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.