Jun Lei

1.1k citations
16 papers · 988 indexed · h-index 14

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Dialysis and Renal Disease Management
    • Hormonal Regulation and Hypertension
    • Menopause: Health Impacts and Treatments

Papers in

Jun Lei

16 papers receiving 973 citations

Peers

Jun Lei
Comparison fields: 5 of 80
  • Nephrology 192
  • Endocrinology, Diabetes and Metabolism 206
  • Reproductive Medicine 80
  • Genetics 249
  • Cancer Research 82
Replace George B.M. Lindop with:
George B.M. Lindop United Kingdom
Masataka Adachi Japan
Mark R. Hughes United States
Carlos Henrique de Lemos Muller Brazil
Li-Wen Lai United States
Maria Aminoff Finland
Isao Kurihara Japan
Manish P. Ponda United States
Giuseppe Girasole Italy
Huey-Yi Chen Taiwan
Jun Lei relative to George B.M. Lindop United Kingdom George B.M. Lindop's profile →
Citations per field
00.5×6.2×
George B.M. Lindop · 1×
Citations per year

Countries citing papers authored by Jun Lei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Lei Line = papers co-authored together Jun Lei links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20192
2 201217
3 201148
4 200460
5 200261
6 200278
7 200162
8 200075
9 199961
10 199967
11 199869
12 199852
13 1997191
14 199722
15 1996118
16 19935

About Jun Lei

Jun Lei is a scholar working on Immunology and Allergy, Nephrology, Genetics, Neurology and Pharmacology, having authored 16 papers that have together received 988 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Cell Adhesion Molecules Research (5 papers), Chronic Kidney Disease and Diabetes (3 papers), Estrogen and related hormone effects (3 papers), Inflammatory mediators and NSAID effects (2 papers), Pregnancy and Medication Impact (2 papers), Pluripotent Stem Cells Research (1 paper) and Neurological Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Nephrology (192 citations), Endocrinology, Diabetes and Metabolism (206 citations), Reproductive Medicine (80 citations), Genetics (249 citations) and Cancer Research (82 citations). Jun Lei has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Sharon Silbiger, Joel Neugarten, Shakeel Ahmad, Flavia Borellini, Christian Rohlff, Robert I. Glazer, 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, Journal of Biological Chemistry, Mammalian Genome and PLoS ONE.

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.

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