Jun Lei
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
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- Hormonal Regulation and Hypertension
- Menopause: Health Impacts and Treatments
Papers in
-
- TGF-β signaling in diseases 3
- Angiogenesis and VEGF in Cancer 1
- Epigenetics and DNA Methylation 1
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- Cell Adhesion Molecules Research 4
- Co-authors
- Joel Neugarten (11 shared papers)Sharon Silbiger (11 shared papers)Christian Rohlff (1 shared paper)Flavia Borellini (1 shared paper)Robert I. Glazer (1 shared paper)Shakeel Ahmad (1 shared paper)Fuad N. Ziyadeh (2 shared papers)Marthe J. Howard (1 shared paper)
- Journals
- Kidney International (6 papers)American Journal of Physiology-Renal Physiology (5 papers)Development (1 paper)Journal of Biological Chemistry (1 paper)Mammalian Genome (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Jun Lei
16 papers receiving 976 citations
Peers
Comparison fields: 5 of 76
- Nephrology 186
- Endocrinology, Diabetes and Metabolism 177
- Reproductive Medicine 65
- Genetics 202
- Cancer Research 71
Countries citing papers authored by Jun Lei
This map shows the geographic impact of Jun Lei'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 Jun Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lei more than expected).
Fields of papers citing papers by Jun Lei
This network shows the impact of papers produced by Jun Lei. 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 Jun Lei. The network helps show where Jun Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lei, 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 | 1997 | 191 | |
| 2 | 1996 | 119 | |
| 3 | 2002 | 78 | |
| 4 | 2000 | 75 | |
| 5 | 1998 | 69 | |
| 6 | 1999 | 67 | |
| 7 | 2001 | 62 | |
| 8 | 1999 | 61 | |
| 9 | 2002 | 61 | |
| 10 | 2004 | 60 | |
| 11 | 1998 | 52 | |
| 12 | 2011 | 48 | |
| 13 | 1997 | 22 | |
| 14 | 2012 | 18 | |
| 15 | 1993 | 5 | |
| 16 | 2019 | 3 |
About Jun Lei
Jun Lei is a scholar working on Molecular Biology, Immunology and Allergy, Nephrology, Genetics and Pharmacology, having authored 16 papers that have together received 991 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), TGF-β signaling in diseases (3 papers), Estrogen and related hormone effects (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Inflammatory mediators and NSAID effects (2 papers), Pregnancy and Medication Impact (2 papers), Angiogenesis and VEGF in Cancer (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Nephrology (186 citations), Endocrinology, Diabetes and Metabolism (177 citations), Reproductive Medicine (65 citations), Genetics (202 citations) and Cancer Research (71 citations). Jun Lei has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Joel Neugarten, Sharon Silbiger, Christian Rohlff, Flavia Borellini, Robert I. Glazer, Shakeel Ahmad, Fuad N. Ziyadeh, Marthe J. Howard, Anjali Acharya and Qing Ding. Their work appears in journals such as Kidney International, American Journal of Physiology-Renal Physiology, Development, Journal of Biological Chemistry and Mammalian Genome.
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.