Deepak Nihalani
Impact in
- Nephrology top 0.5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Molecular Biology top 10%
- Renal and related cancers
- Melanoma and MAPK Pathways
- Ion Transport and Channel Regulation
- Protein Kinase Regulation and GTPase Signaling
Papers in
-
- Renal and related cancers 13
- Melanoma and MAPK Pathways 5
- Wnt/β-catenin signaling in development and cancer 5
- Protein Kinase Regulation and GTPase Signaling 5
- Nephrology 22
- Renal Diseases and Glomerulopathies 22
- Chronic Kidney Disease and Diabetes 7
- Co-authors
- Lawrence B. Holzman (20 shared papers)Ehtesham Arif (22 shared papers)Hetty N. Wong (8 shared papers)Rakesh Verma (3 shared papers)Duncan B. Johnstone (4 shared papers)Steven E. Merritt (2 shared papers)Puneet Garg (3 shared papers)Paul D. Killen (2 shared papers)
- Journals
- Journal of Biological Chemistry (15 papers)Kidney International (6 papers)Molecular and Cellular Biology (4 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Deepak Nihalani
48 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 93
- Nephrology 780
- Molecular Biology 1.2k
- Cell Biology 262
- Genetics 294
- Cancer Research 154
Countries citing papers authored by Deepak Nihalani
This map shows the geographic impact of Deepak Nihalani'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 Deepak Nihalani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Nihalani more than expected).
Fields of papers citing papers by Deepak Nihalani
This network shows the impact of papers produced by Deepak Nihalani. 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 Deepak Nihalani. The network helps show where Deepak Nihalani may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Nihalani, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 187 | |
| 2 | 2007 | 121 | |
| 3 | 2014 | 91 | |
| 4 | 2001 | 91 | |
| 5 | 1999 | 88 | |
| 6 | 2012 | 83 | |
| 7 | 2011 | 76 | |
| 8 | 2008 | 73 | |
| 9 | 2002 | 72 | |
| 10 | 2012 | 68 | |
| 11 | 2019 | 68 | |
| 12 | 2003 | 67 | |
| 13 | 2000 | 63 | |
| 14 | 2012 | 53 | |
| 15 | 2019 | 48 | |
| 16 | 2017 | 41 | |
| 17 | 2014 | 39 | |
| 18 | 2013 | 37 | |
| 19 | 1998 | 35 | |
| 20 | 2012 | 34 |
About Deepak Nihalani
Deepak Nihalani is a scholar working on Molecular Biology, Nephrology, Genetics, Surgery and Cell Biology, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (22 papers), Renal and related cancers (13 papers), Genetic and Kidney Cyst Diseases (12 papers), Chronic Kidney Disease and Diabetes (7 papers), Melanoma and MAPK Pathways (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Nephrology (780 citations), Molecular Biology (1.2k citations), Cell Biology (262 citations), Genetics (294 citations) and Cancer Research (154 citations). Deepak Nihalani has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Lawrence B. Holzman, Ehtesham Arif, Hetty N. Wong, Rakesh Verma, Duncan B. Johnstone, Steven E. Merritt, Puneet Garg, Paul D. Killen, Iulia A. Kovari and Bryan L. Wharram. Their work appears in journals such as Journal of Biological Chemistry, Kidney International, Molecular and Cellular Biology, PLoS ONE and Scientific Reports.
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.