Longkai Peng

815 citations
55 papers · 459 · h-index 15

Impact in

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

Papers in

Longkai Peng

43 papers receiving 454 citations

Peers

Longkai Peng
Comparison fields: 5 of 63
  • Transplantation 55
  • Cancer Research 98
  • Nephrology 22
  • Immunology 65
  • Molecular Biology 164
Replace J. Li with:
J. Li China
Edurne Ramos Spain
S. A. Gruber United States
Ryan A. McTaggart United States
Sara Assadiasl Iran
Pía Boza Chile
Qiuxia Mao China
Pınar Ata Türkiye
Haseeb Ilias Basha United States
A Moutabarrik Japan
Longkai Peng relative to J. Li China J. Li's profile →
Citations per field
00.5×2.8×
J. Li · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201344
2 201541
3 201830
4 201527
5 202125
6 201923
7 201522
8 202021
9 201520
10 201818
11 202317
12 201917
13 201816
14 201815
15 201614
16 202113
17 201313
18 201112
19 201511
20 201810

About Longkai Peng

Longkai Peng is a scholar working on Transplantation, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 55 papers that have together received 459 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (8 papers), Renal and Vascular Pathologies (4 papers), Immune cells in cancer (4 papers), Organ Donation and Transplantation (4 papers), Organ and Tissue Transplantation Research (3 papers), Cancer-related molecular mechanisms research (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Transplantation (55 citations), Cancer Research (98 citations), Nephrology (22 citations), Immunology (65 citations) and Molecular Biology (164 citations). Longkai Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gongbin Lan, Shaojie Yu, Fenghua Peng, Helong Dai, Lei Song, Xubiao Xie, Chen Gao, Tengfang Li, Yi Wang and Haifeng Wang. Their work appears in journals such as BMC Nephrology, BioMed Research International, International Journal of Surgery, Transplant Immunology and Renal Failure.

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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