Min Feng

797 citations
37 papers · 503 · h-index 14

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders
  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion

Papers in

    • Systemic Lupus Erythematosus Research 6
    • Rheumatoid Arthritis Research and Therapies 3
    • IgG4-Related and Inflammatory Diseases 2
    • Salivary Gland Disorders and Functions 6

Min Feng

35 papers receiving 498 citations

Peers

Min Feng
Comparison fields: 5 of 76
  • Immunology 133
  • Hematology 63
  • Rheumatology 81
  • Cancer Research 62
  • Pulmonary and Respiratory Medicine 60
Replace Barbara Wysoczańska with:
Barbara Wysoczańska Poland
F. Moritz Germany
Montserrat Alvarez Switzerland
S Wade Ireland
Yuxing Shan China
Tova Chajek-Shaul Israel
Yaqiong Tang China
Peipei Ding China
Yingni Li China
Min Feng relative to Barbara Wysoczańska Poland Barbara Wysoczańska's profile →
Citations per field
00.5×3.3×
Barbara Wysoczańska · 1×
Citations per year

Countries citing papers authored by Min Feng

Since Specialization
Citations

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

Fields of papers citing papers by Min Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015125
2 200646
3 201939
4 201927
5 201125
6 202224
7 201421
8 201918
9 201718
10 201416
11 201916
12 202215
13 201614
14 200413
15 202211
16 202010
17 20218
18 20208
19 20228
20 20215

About Min Feng

Min Feng is a scholar working on Rheumatology, Physiology, Immunology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 37 papers that have together received 503 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (6 papers), Salivary Gland Disorders and Functions (6 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Vasculitis and related conditions (2 papers), IgG4-Related and Inflammatory Diseases (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Immunology (133 citations), Hematology (63 citations), Rheumatology (81 citations), Cancer Research (62 citations) and Pulmonary and Respiratory Medicine (60 citations). Min Feng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chong Gao, Xiangcong Zhao, Yan Qin, Jing Luo, Guangying Liu, Zhen Ning Wee, Bao Yi, Puay Leng Lee, Dave S.�B. Hoon and Yu Cai. Their work appears in journals such as Molecular Immunology, Frontiers in Immunology, Clinical Rheumatology, Transfusion Medicine and International Immunopharmacology.

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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