Min Ling

623 citations
17 papers · 467 indexed · h-index 9

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 2
    • Organ and Tissue Transplantation Research 1
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 2
    • T-cell and B-cell Immunology 2

Min Ling

16 papers receiving 462 citations

Peers

Min Ling
Comparison fields: 5 of 75
  • Transplantation 205
  • Nephrology 79
  • Immunology 142
  • Hematology 44
  • Cancer Research 40
Replace Helong Dai with:
Helong Dai China
E. Schrama Netherlands
Jillian N.M. Ilsley United States
Yayoi Ogawa Japan
Cynthia Van der Hauwaert France
Xiangju Wang Australia
Yuki Ohya Japan
Grégoire Savary France
B Riedmann Austria
Malte Kölling Switzerland
Min Ling relative to Helong Dai China Helong Dai's profile →
Citations per field
00.5×4.4×
Helong Dai · 1×
Citations per year

Countries citing papers authored by Min Ling

Since Specialization
Citations

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

Fields of papers citing papers by Min Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20250
2 20251
3 201878
4 201729
5 20175
6 20162
7 20141
8 201244
9 201242
10 201221
11 2011178
12 20101
13 20089
14 20023
15 199828
16 199820
17
The water-soluble component of Salvia miltiorrhiza Bge can promote macrophage synthesis of C4 in vivo and in vitro.
19935

About Min Ling

Min Ling is a scholar working on Transplantation, Immunology, Nephrology, Cancer Research and Immunology and Allergy, having authored 17 papers that have together received 467 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Immune Cell Function and Interaction (2 papers), T-cell and B-cell Immunology (2 papers), Organ and Tissue Transplantation Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Transplantation (205 citations), Nephrology (79 citations), Immunology (142 citations), Hematology (44 citations) and Cancer Research (40 citations). Min Ling has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kwaku Marfo, Enver Akalin, Amy D. Lu, Seah H. Lim, Shun Xu, Jie Yang, Xuerong Sun, Hongjing Cui, Qizhan Liu and Xinguang Liu. Their work appears in journals such as British Journal of Haematology, Clinical Journal of the American Society of Nephrology, Food and Chemical Toxicology, Cell Death and Disease and Biotechnology Letters.

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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