Tripti Gupta
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Physiology top 5%
Papers in
-
- Developmental Biology and Gene Regulation 8
- Renal and related cancers 4
- Congenital heart defects research 4
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- Microtubule and mitosis dynamics 4
- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- Mary C. Mullins (11 shared papers)Florence L. Marlow (9 shared papers)Trudi Schüpbach (2 shared papers)Roland Dosch (2 shared papers)Jacqueline Lyautey (2 shared papers)Amandine Gautier‐Stein (2 shared papers)Franck Bontems (2 shared papers)Harold A. Burgess (5 shared papers)
- Journals
- PLoS Genetics (4 papers)Developmental Biology (3 papers)EvoDevo (2 papers)Journal of Visualized Experiments (2 papers)Developmental Cell (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Tripti Gupta
24 papers receiving 843 citations
Peers
Comparison fields: 5 of 84
- Cell Biology 240
- Physiology 64
- Aging 24
- Cellular and Molecular Neuroscience 151
- Genetics 211
Countries citing papers authored by Tripti Gupta
This map shows the geographic impact of Tripti 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 Tripti Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tripti Gupta more than expected).
Fields of papers citing papers by Tripti Gupta
This network shows the impact of papers produced by Tripti 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 Tripti Gupta. The network helps show where Tripti Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Tripti 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 179 | |
| 2 | 2010 | 126 | |
| 3 | 2010 | 92 | |
| 4 | 2009 | 70 | |
| 5 | 2012 | 62 | |
| 6 | 2010 | 50 | |
| 7 | 2003 | 45 | |
| 8 | 2014 | 37 | |
| 9 | 2018 | 33 | |
| 10 | 2012 | 26 | |
| 11 | 2012 | 25 | |
| 12 | 2020 | 15 | |
| 13 | 2015 | 15 | |
| 14 | 2014 | 15 | |
| 15 | 2015 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2001 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2014 | 4 |
About Tripti Gupta
Tripti Gupta is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Physiology, having authored 25 papers that have together received 851 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Microtubule and mitosis dynamics (4 papers), Renal and related cancers (4 papers), Congenital heart defects research (4 papers), Reproductive biology and impacts on aquatic species (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Cell Biology (240 citations), Physiology (64 citations), Aging (24 citations), Cellular and Molecular Neuroscience (151 citations) and Genetics (211 citations). Tripti Gupta has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Mary C. Mullins, Florence L. Marlow, Trudi Schüpbach, Roland Dosch, Jacqueline Lyautey, Amandine Gautier‐Stein, Franck Bontems, Harold A. Burgess, Dimitri Monos and Johannes Dapprich. Their work appears in journals such as PLoS Genetics, Developmental Biology, EvoDevo, Journal of Visualized Experiments and Developmental Cell.
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.