Poorva Mudgal
Impact in
- Nephrology top 1%
- Gout, Hyperuricemia, Uric Acid
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
-
- Chronic Kidney Disease and Diabetes 3
- Renal Diseases and Glomerulopathies 3
- Genetics 8
- Genetic Associations and Epidemiology 6
- Co-authors
- Qi-Jing Li (4 shared papers)Peter B. Alexander (4 shared papers)Haiyang Wu (3 shared papers)Ying Wan (2 shared papers)Yan Wang (1 shared paper)Lifeng Yuan (1 shared paper)Lianmei Tan (2 shared papers)Tao Yin (2 shared papers)
- Journals
- Nature Genetics (3 papers)PLoS Genetics (2 papers)OncoImmunology (2 papers)Cell (1 paper)Nature (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Poorva Mudgal
22 papers receiving 2.5k citations
Poorva Mudgal's Hit Papers
Peers
Comparison fields: 5 of 124
- Nephrology 579
- Genetics 881
- Endocrine and Autonomic Systems 98
- Endocrinology, Diabetes and Metabolism 225
- Cancer Research 160
Countries citing papers authored by Poorva Mudgal
This map shows the geographic impact of Poorva Mudgal'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 Poorva Mudgal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Poorva Mudgal more than expected).
Fields of papers citing papers by Poorva Mudgal
This network shows the impact of papers produced by Poorva Mudgal. 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 Poorva Mudgal. The network helps show where Poorva Mudgal may publish in the future.
Co-authors
The 25 scholars most cited alongside Poorva Mudgal, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide association analyses identify 18 new loci associated with serum urate concentrations Hit paper breakdown → | 2012 | 666 |
| 2 | Rare and low-frequency coding variants alter human adult height Hit paper breakdown → | 2017 | 476 |
| 3 | 2017 | 307 | |
| 4 | Cancer-cell-derived GABA promotes β-catenin-mediated tumour growth and immunosuppression Hit paper breakdown → | 2022 | 206 |
| 5 | 2014 | 193 | |
| 6 | 2017 | 148 | |
| 7 | 2017 | 121 | |
| 8 | 2017 | 91 | |
| 9 | 2019 | 80 | |
| 10 | 2018 | 64 | |
| 11 | 2012 | 53 | |
| 12 | 2014 | 51 | |
| 13 | 2024 | 35 | |
| 14 | 2016 | 30 | |
| 15 | 2020 | 25 | |
| 16 | 2021 | 23 | |
| 17 | 2023 | 20 | |
| 18 | 2024 | 13 | |
| 19 | 2021 | 10 | |
| 20 | 2021 | 8 |
About Poorva Mudgal
Poorva Mudgal is a scholar working on Nephrology, Genetics, Oncology, Immunology and Molecular Biology, having authored 24 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), CAR-T cell therapy research (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Renal Diseases and Glomerulopathies (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer-related molecular mechanisms research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Nephrology (579 citations), Genetics (881 citations), Endocrine and Autonomic Systems (98 citations), Endocrinology, Diabetes and Metabolism (225 citations) and Cancer Research (160 citations). Poorva Mudgal has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qi-Jing Li, Peter B. Alexander, Haiyang Wu, Ying Wan, Yan Wang, Lifeng Yuan, Lianmei Tan, Tao Yin, Diyuan Qin and De Huang. Their work appears in journals such as Nature Genetics, PLoS Genetics, OncoImmunology, Cell and Nature.
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.