Pardeep Aggarwal
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
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- Angiogenesis and VEGF in Cancer 2
- Renal and related cancers 2
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- Renal Diseases and Glomerulopathies 4
- Chronic Kidney Disease and Diabetes 2
- Co-authors
- Alda Tufró (6 shared papers)Delma Verón (5 shared papers)Vivekanand Jha (4 shared papers)Michael Kashgarian (4 shared papers)Gilbert Moeckel (4 shared papers)Claudia A. Bertuccio (2 shared papers)Vanita Jain (1 shared paper)David B. Thomas (2 shared papers)
- Journals
- Pharmacogenetics and Genomics (1 paper)Journal of Biological Chemistry (1 paper)Journal of the American Society of Nephrology (1 paper)Hypertension Research (1 paper)Experimental Hematology and Oncology (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Pardeep Aggarwal
12 papers receiving 399 citations
Peers
Comparison fields: 5 of 50
- Nephrology 104
- Obstetrics and Gynecology 71
- Transplantation 24
- Pediatrics, Perinatology and Child Health 65
- Cellular and Molecular Neuroscience 40
Countries citing papers authored by Pardeep Aggarwal
This map shows the geographic impact of Pardeep Aggarwal'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 Pardeep Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pardeep Aggarwal more than expected).
Fields of papers citing papers by Pardeep Aggarwal
This network shows the impact of papers produced by Pardeep Aggarwal. 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 Pardeep Aggarwal. The network helps show where Pardeep Aggarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Pardeep Aggarwal, 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 | 2012 | 60 | |
| 2 | 2011 | 57 | |
| 3 | 2014 | 56 | |
| 4 | 2010 | 47 | |
| 5 | 2014 | 32 | |
| 6 | 2009 | 31 | |
| 7 | 2009 | 24 | |
| 8 | 2000 | 23 | |
| 9 | 2013 | 21 | |
| 10 | 2018 | 20 | |
| 11 | 2009 | 19 | |
| 12 | 2022 | 12 |
About Pardeep Aggarwal
Pardeep Aggarwal is a scholar working on Molecular Biology, Nephrology, Oncology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 402 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Lymphatic System and Diseases (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Renal and related cancers (2 papers), Pregnancy and preeclampsia studies (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Nephrology (104 citations), Obstetrics and Gynecology (71 citations), Transplantation (24 citations), Pediatrics, Perinatology and Child Health (65 citations) and Cellular and Molecular Neuroscience (40 citations). Pardeep Aggarwal has collaborated with scholars based in United States, India and France. Frequent co-authors include Alda Tufró, Delma Verón, Vivekanand Jha, Michael Kashgarian, Gilbert Moeckel, Claudia A. Bertuccio, Vanita Jain, David B. Thomas, Lawrence B. Holzman and Heino Velázquez. Their work appears in journals such as Pharmacogenetics and Genomics, Journal of Biological Chemistry, Journal of the American Society of Nephrology, Hypertension Research and Experimental Hematology and Oncology.
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.