Komal Vadnagara
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Renal Diseases and Glomerulopathies
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- TGF-β signaling in diseases
Papers in
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- Adenosine and Purinergic Signaling 2
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- Renal Diseases and Glomerulopathies 1
- Acute Kidney Injury Research 1
- Co-authors
- Michael Zeisberg (1 shared paper)Hikaru Sugimoto (1 shared paper)Björn Tampe (1 shared paper)Raghu Kalluri (1 shared paper)Tsvetelina Pentcheva‐Hoang (1 shared paper)Birgitta Christina Burckhardt (1 shared paper)Sara Lovisa (1 shared paper)Chia-Chin Wu (1 shared paper)
- Journals
- American Journal of Physiology-Renal Physiology (3 papers)Journal of the American Society of Nephrology (2 papers)Journal of Cellular Physiology (2 papers)Nature Medicine (1 paper)Mobile DNA (1 paper)
- Partner nations
- United StatesGermanyTürkiye
In The Last Decade
Komal Vadnagara
12 papers receiving 1.2k citations
Komal Vadnagara's Hit Papers
Peers
Comparison fields: 5 of 77
- Nephrology 512
- Molecular Biology 366
- Immunology 106
- Transplantation 15
- Oncology 98
Countries citing papers authored by Komal Vadnagara
This map shows the geographic impact of Komal Vadnagara'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 Komal Vadnagara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Komal Vadnagara more than expected).
Fields of papers citing papers by Komal Vadnagara
This network shows the impact of papers produced by Komal Vadnagara. 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 Komal Vadnagara. The network helps show where Komal Vadnagara may publish in the future.
Co-authors
The 25 scholars most cited alongside Komal Vadnagara, 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 | Epithelial-to-mesenchymal transition induces cell cycle arrest and parenchymal damage in renal fibrosis Hit paper breakdown → | 2015 | 836 |
| 2 | 2012 | 124 | |
| 3 | 2011 | 49 | |
| 4 | 2016 | 37 | |
| 5 | 2014 | 34 | |
| 6 | 2014 | 33 | |
| 7 | 2015 | 33 | |
| 8 | 2016 | 24 | |
| 9 | 2013 | 11 | |
| 10 | 2015 | 5 | |
| 11 | 2019 | 3 | |
| 12 | A Tale Of Three Phytopathogens: Impact Of Transposable Elements On Genome Evolution | 2010 | 1 |
About Komal Vadnagara
Komal Vadnagara is a scholar working on Physiology, Nephrology, Molecular Biology, Genetics and Plant Science, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (2 papers), Chromosomal and Genetic Variations (2 papers), Adenosine and Purinergic Signaling (2 papers), Signaling Pathways in Disease (1 paper), Hedgehog Signaling Pathway Studies (1 paper), TGF-β signaling in diseases (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Acute Kidney Injury Research (1 paper). The work is most often cited by research in Nephrology (512 citations), Molecular Biology (366 citations), Immunology (106 citations), Transplantation (15 citations) and Oncology (98 citations). Komal Vadnagara has collaborated with scholars based in United States, Germany and Türkiye. Frequent co-authors include Michael Zeisberg, Hikaru Sugimoto, Björn Tampe, Raghu Kalluri, Tsvetelina Pentcheva‐Hoang, Birgitta Christina Burckhardt, Sara Lovisa, Chia-Chin Wu, Yohannes Hagos and James Patrick Allison. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, Journal of Cellular Physiology, Nature Medicine and Mobile DNA.
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.