Longkai Peng

785 citations
52 papers · 437 · h-index 15

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Longkai Peng

42 papers receiving 435 citations

Peers

Longkai Peng
Comparison fields: 5 of 68
  • Transplantation 71
  • Cancer Research 107
  • Nephrology 30
  • Immunology 68
  • Orthopedics and Sports Medicine 25
Replace Helong Dai with:
Helong Dai China
Takeshi Fujita Japan
Jie Cai China
Pınar Ata Türkiye
Markus Pirklbauer Austria
Agnieszka Bińczak‐Kuleta Poland
N Gilboa United States
Sara Assadiasl Iran
B Riedmann Austria
Roman Zyla Canada
Longkai Peng relative to Helong Dai China Helong Dai's profile →
Citations per field
00.5×3.0×
Helong Dai · 1×
Citations per year

Countries citing papers authored by Longkai Peng

Since Specialization
Citations

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

Fields of papers citing papers by Longkai Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201343
2 201541
3 201829
4 202125
5 201525
6 201923
7 202021
8 201521
9 201519
10 201816
11 201916
12 202316
13 201816
14 201815
15 201614
16 202113
17 201313
18 201111
19 201511
20 20189

About Longkai Peng

Longkai Peng is a scholar working on Transplantation, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 437 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (18 papers), Organ Donation and Transplantation (9 papers), Renal and Vascular Pathologies (7 papers), Organ Transplantation Techniques and Outcomes (7 papers), Transplantation: Methods and Outcomes (5 papers), Immune cells in cancer (5 papers), Cancer-related molecular mechanisms research (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Transplantation (71 citations), Cancer Research (107 citations), Nephrology (30 citations), Immunology (68 citations) and Orthopedics and Sports Medicine (25 citations). Longkai Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gongbin Lan, Shaojie Yu, Fenghua Peng, Helong Dai, Lei Song, Xubiao Xie, Chen Gao, Tengfang Li, Yi Wang and Lei Liu. Their work appears in journals such as BMC Nephrology, Renal Failure, Transplant Immunology, BioMed Research International and International Journal of Surgery.

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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