Ji Lei

2.1k citations
40 papers · 1.8k · h-index 21

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation
  • Surgery top 2%
    • Pancreatic function and diabetes
    • Transplantation: Methods and Outcomes
    • Xenotransplantation and immune response

Papers in

    • T-cell and B-cell Immunology 9
    • Immunotherapy and Immune Responses 1
    • Phagocytosis and Immune Regulation 1
    • Pancreatic function and diabetes 19
    • Transplantation: Methods and Outcomes 1

Ji Lei

40 papers receiving 1.7k citations

Peers

Ji Lei
Comparison fields: 5 of 44
  • Immunology 373
  • Surgery 729
  • Transplantation 42
  • Molecular Medicine 17
  • Genetics 24
Replace Ryoichi Goto with:
Ryoichi Goto Japan
Jiangnan Xu China
Michael R. Clarkson United States
Tarek El-Sawy United States
S Fuggle United Kingdom
Eugenia V. Fedoseyeva United States
Xuyan Huang Canada
S Fuggle United Kingdom
Maren Schulze Germany
Ji Lei relative to Ryoichi Goto Japan Ryoichi Goto's profile →
Citations per field
00.5×5×10×17×
Ryoichi Goto · 1×
Citations per year

Countries citing papers authored by Ji Lei

Since Specialization
Citations

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

Fields of papers citing papers by Ji Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014210
2 2000202
3 2016157
4 2013140
5 1999134
6 2010134
7 2015112
8 199971
9 202260
10 200151
11 200041
12 201041
13 201639
14 202236
15 201833
16 201529
17 201427
18 201326
19 201925
20 200222

About Ji Lei

Ji Lei is a scholar working on Immunology, Surgery, Transplantation, Molecular Biology and Nuclear Energy and Engineering, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (19 papers), T-cell and B-cell Immunology (9 papers), Renal Transplantation Outcomes and Treatments (2 papers), Immunotherapy and Immune Responses (1 paper), Phagocytosis and Immune Regulation (1 paper), RNA modifications and cancer (1 paper) and Transplantation: Methods and Outcomes (1 paper). The work is most often cited by research in Immunology (373 citations), Surgery (729 citations), Transplantation (42 citations), Molecular Medicine (17 citations) and Genetics (24 citations). Ji Lei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Reginald M. Gorczynski, James F. Markmann, Mark S. Cattral, Wei‐Ping Min, Jim Hu, Susan Bonner‐Weir, Shaoping Deng, James I. Kim, Xuyan Huang and Rakesh M. Suri. Their work appears in journals such as American Journal of Transplantation, Xenotransplantation, Transplantation, The Journal of Immunology and Cell Transplantation.

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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