Richa Sharma
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
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- Genetic Mapping and Diversity in Plants and Animals
- Genetic and Kidney Cyst Diseases
Papers in ⓘ
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- Endoplasmic Reticulum Stress and Disease 2
- Microtubule and mitosis dynamics 2
- Co-authors
- Maxime Bouchard (4 shared papers)Trilochan Mohapatra (2 shared papers)K. V. Prabhu (1 shared paper)A. K. Singh (1 shared paper)Oraly Sanchez-Ferras (1 shared paper)Mathieu Tremblay (2 shared papers)Michael Marcotte (1 shared paper)Artur Kania (1 shared paper)
- Journals
- Frontiers in Oncology (2 papers)JCI Insight (2 papers)iScience (1 paper)Molecular Oncology (1 paper)Seminars in Cell and Developmental Biology (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Richa Sharma
22 papers receiving 398 citations
Peers
Comparison fields: 5 of 84
- Nephrology 45
- Genetics 104
- Molecular Biology 230
- Urology 18
- Plant Science 82
Countries citing papers authored by Richa Sharma
This map shows the geographic impact of Richa Sharma'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 Richa Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richa Sharma more than expected).
Fields of papers citing papers by Richa Sharma
This network shows the impact of papers produced by Richa Sharma. 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 Richa Sharma. The network helps show where Richa Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Richa Sharma, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 86 | |
| 2 | 2013 | 51 | |
| 3 | 2021 | 50 | |
| 4 | 2016 | 38 | |
| 5 | 2015 | 37 | |
| 6 | 2013 | 25 | |
| 7 | 2011 | 21 | |
| 8 | 2017 | 20 | |
| 9 | Prostaglandin E1 in infants with congenital heart disease: Indian experience. | 1998 | 17 |
| 10 | 2020 | 15 | |
| 11 | 2016 | 15 | |
| 12 | 2017 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2018 | 4 | |
| 17 | 2006 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2024 | 2 | |
| 20 | Novel Drugs Targeting Retinoic Acid Receptors | 2005 | 2 |
About Richa Sharma
Richa Sharma is a scholar working on Cell Biology, Nephrology, Molecular Biology, Genetics and Dermatology, having authored 23 papers that have together received 427 indexed citations. Recurring topics across this work include Renal and related cancers (6 papers), Renal cell carcinoma treatment (3 papers), Congenital heart defects research (3 papers), Pluripotent Stem Cells Research (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Nephrology (45 citations), Genetics (104 citations), Molecular Biology (230 citations), Urology (18 citations) and Plant Science (82 citations). Richa Sharma has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Maxime Bouchard, Trilochan Mohapatra, K. V. Prabhu, A. K. Singh, Oraly Sanchez-Ferras, Mathieu Tremblay, Michael Marcotte, Artur Kania, Yaned Gaitan and David J. Salant. Their work appears in journals such as Frontiers in Oncology, JCI Insight, iScience, Molecular Oncology and Seminars in Cell and Developmental Biology.
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.