Jingping Lu

15 papers receiving 1.5k citations

Hit Papers

Bile acid metabolites control TH17 and Treg cell differentiation 2019 · 956 citations
9562019202620212023250500750

Peers

Jingping Lu
Comparison fields: 5 of 102
  • Biological Psychiatry 63
  • Cancer Research 282
  • Molecular Biology 879
  • Immunology 248
  • Hepatology 88
Replace Jingnan Li with:
Jingnan Li China
Concetta Panebianco Italy
Jamma Trinath India
Wendy Huang United States
Chunyan Tian China
Seidai Sato Japan
Roger Tatoud United Kingdom
Hong Namkoong South Korea
Tze Mun Loo Japan
Jingwan Zhang Hong Kong
Jingping Lu relative to Jingnan Li China Jingnan Li's profile →
Citations per field
00.5×1.5×
Jingnan Li · 1×
Citations per year

Countries citing papers authored by Jingping Lu

Since Specialization
Citations

This map shows the geographic impact of Jingping Lu'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 Jingping Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingping Lu more than expected).

Fields of papers citing papers by Jingping Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingping Lu. 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 Jingping Lu. The network helps show where Jingping Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Jingping Lu, 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 Jingping Lu Line = papers co-authored together Jingping Lu links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Bile acid metabolites control TH17 and Treg cell differentiation
Hit paper breakdown →
2019956
2 2015247
3 201976
4 201354
5 201233
6 200633
7 202230
8 201419
9 202014
10 201914
11 20107
12 20242
13 20251
14 20121
15 20201

About Jingping Lu

Jingping Lu is a scholar working on Cancer Research, Complementary and alternative medicine, Physiology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related molecular mechanisms research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Immune Cell Function and Interaction (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Biological Psychiatry (63 citations), Cancer Research (282 citations), Molecular Biology (879 citations), Immunology (248 citations) and Hepatology (88 citations). Jingping Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fraydoon Rastinejad, Dalei Wu, Nalini Potluri, Youngchang Kim, Dan R. Littman, A. Sloan Devlin, Donggi Paik, Michael A. Fischbach, Randy Longman and Saiyu Hang. Their work appears in journals such as Nature, Cardiovascular Pathology, Journal of Cardiovascular Pharmacology, The Journal of Immunology and Nature Communications.

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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