Kunal Chaudhary
- Physiology top 1%
- Endocrine and Autonomic Systems top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology
- Nephrology top 1%
- Co-authors
- Fahad AzizRamesh KhannaAdam Whaley‐ConnellJames R. SowersSurinder K. BatraAnnayya R. AroorKunal MalhotraSimon K. Cheng
- Topics
- Dialysis and Renal Disease Management (13 papers)Chronic Kidney Disease and Diabetes (7 papers)Blood Pressure and Hypertension Studies (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of PhysiologyOncogene
- Partner nations
- United StatesGermanyNepal
In The Last Decade
Kunal Chaudhary
62 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Physiology 1.8k
- Endocrine and Autonomic Systems 1.2k
- Pulmonary and Respiratory Medicine 1.1k
- Molecular Biology 675
- Nephrology 594
Countries citing papers authored by Kunal Chaudhary
This map shows the geographic impact of Kunal Chaudhary'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 Kunal Chaudhary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal Chaudhary more than expected).
Fields of papers citing papers by Kunal Chaudhary
This network shows the impact of papers produced by Kunal Chaudhary. 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 Kunal Chaudhary. The network helps show where Kunal Chaudhary may publish in the future.
Co-authorship network of co-authors of Kunal Chaudhary
This figure shows the co-authorship network connecting the top 25 collaborators of Kunal Chaudhary. A scholar is included among the top collaborators of Kunal Chaudhary based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kunal Chaudhary. Kunal Chaudhary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | The Triad of Sleep Apnea, Hypertension, and Chronic Kidney Disease: A Spectrum of Common Pathologybreakdown → | 2015 |
| 9 | 180 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 61 | |
| 15 | 54 | |
| 16 | 13 | |
| 17 | 19 | |
| 18 | 165 | |
| 19 | 1 | |
| 20 | 16 |
About Kunal Chaudhary
Kunal Chaudhary is a scholar working on Nephrology, Transplantation and Emergency Medical Services, having authored 64 papers that have together received 4.0k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (13 papers), Chronic Kidney Disease and Diabetes (7 papers) and Blood Pressure and Hypertension Studies (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Nephrology (594 citations) and Physiology (1.8k citations). Kunal Chaudhary has collaborated with scholars based in United States, Germany and Nepal. Frequent co-authors include Fahad Aziz, Ramesh Khanna, Adam Whaley‐Connell, James R. Sowers, Surinder K. Batra, Annayya R. Aroor, Kunal Malhotra, Simon K. Cheng, Tony J. C. Wang and Ravi Nistala. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Oncogene.
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.