Mingfang Lu

1.2k citations
31 papers · 863 · h-index 18

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Tryptophan and brain disorders

Papers in

    • Immune Response and Inflammation 12
    • Immune cells in cancer 9
    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 4

Mingfang Lu

29 papers receiving 856 citations

Peers

Mingfang Lu
Comparison fields: 5 of 91
  • Immunology 455
  • Biological Psychiatry 50
  • Biochemistry 60
  • Microbiology 44
  • Neurology 52
Replace Hideaki Kazumori with:
Hideaki Kazumori Japan
Seungwha Paik South Korea
Hidehiko Suzuki Japan
Brittelle Bowers United States
Laura E. Gleeson Ireland
Lily Boutens Netherlands
Agnieszka Płóciennikowska Poland
Dequina Nicholas United States
Christina J. Thomas Germany
Christine A. Juliana United States
Mingfang Lu relative to Hideaki Kazumori Japan Hideaki Kazumori's profile →
Citations per field
00.5×1.5×2.4×
Hideaki Kazumori · 1×
Citations per year

Countries citing papers authored by Mingfang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mingfang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201392
2 200784
3 201883
4 200867
5 200555
6 201852
7 201745
8 200342
9 201342
10 200438
11 201828
12 201328
13 200925
14 201125
15 202320
16 202020
17 201619
18 201318
19 202116
20 201412

About Mingfang Lu

Mingfang Lu is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Physiology, having authored 31 papers that have together received 863 indexed citations. Recurring topics across this work include Immune Response and Inflammation (12 papers), Immune cells in cancer (9 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers), Fatty Acid Research and Health (3 papers), Tryptophan and brain disorders (3 papers), Advanced Glycation End Products research (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Immunology (455 citations), Biological Psychiatry (50 citations), Biochemistry (60 citations), Microbiology (44 citations) and Neurology (52 citations). Mingfang Lu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Robert S. Munford, Alan W. Varley, Yiwei Chu, Jerrold Weiss, Akira Takashima, Sandip K. Datta, Mei Zhang, Brian Janelsins, Joel A. Morales‐Rosado and Shoichiro Ohta. Their work appears in journals such as PLoS Pathogens, The Journal of Immunology, Journal of Biological Chemistry, The Journal of Experimental Medicine and eLife.

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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