Jingli Lü

2.0k citations
59 papers · 1.2k indexed · h-index 20

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 5
    • Immune Cell Function and Interaction 13
    • IL-33, ST2, and ILC Pathways 10
    • T-cell and B-cell Immunology 5

Jingli Lü

56 papers receiving 1.2k citations

Peers

Jingli Lü
Comparison fields: 5 of 118
  • Immunology 302
  • Endocrinology, Diabetes and Metabolism 174
  • Transplantation 23
  • Molecular Medicine 39
  • Cancer Research 104
Replace Huan Chen with:
Huan Chen China
Martha Yearsley United States
Yuan Zhao China
Dapeng Chen China
Mukunda B. Ray United States
Shih‐Chi Su Taiwan
Narkunaraja Shanmugam United States
Jianjun Zhang China
Qiao Zhou China
Jingli Lü relative to Huan Chen China Huan Chen's profile →
Citations per field
00.5×6.9×
Huan Chen · 1×
Citations per year

Countries citing papers authored by Jingli Lü

Since Specialization
Citations

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

Fields of papers citing papers by Jingli Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202312
2 20232
3 20237
4 202221
5 202223
6 20217
7 202118
8 20214
9 201812
10 20186
11 201827
12 201824
13 201718
14 201713
15 201783
16 201560
17 201526
18 201514
19 201269
20 201127

About Jingli Lü

Jingli Lü is a scholar working on Transplantation, Immunology, Molecular Medicine, Complementary and alternative medicine and Pharmacology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), IL-33, ST2, and ILC Pathways (10 papers), Renal Transplantation Outcomes and Treatments (5 papers), T-cell and B-cell Immunology (5 papers), Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Immunology (302 citations), Endocrinology, Diabetes and Metabolism (174 citations), Transplantation (23 citations), Molecular Medicine (39 citations) and Cancer Research (104 citations). Jingli Lü has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaojian Zhang, Haiyang Meng, Yan Liang, Junjie Zhao, Lifeng Li, Wenhua Xue, Jian Kang, Yan Lan, Ming Xiang and Chengliang Zhang. Their work appears in journals such as Frontiers in Immunology, Cellular Physiology and Biochemistry, International Immunopharmacology, Infection and Drug Resistance and Diabetes/Metabolism Research and Reviews.

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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