Min Su

525 citations
38 papers · 396 · h-index 12

Impact in

Papers in

    • T-cell and B-cell Immunology 13
    • Immune Cell Function and Interaction 11
    • Immunotherapy and Immune Responses 7
    • Hematopoietic Stem Cell Transplantation 5

Min Su

35 papers receiving 393 citations

Peers

Min Su
Comparison fields: 5 of 49
  • Immunology 125
  • Biological Psychiatry 10
  • Developmental Neuroscience 15
  • Genetics 35
  • Obstetrics and Gynecology 16
Replace Christoph Ruschil with:
Christoph Ruschil Germany
Pavla Boháčová Czechia
Tara Karnezis Australia
Mahdi Noureddini Iran
Megumi Nakanishi Japan
Youji He China
Sahl Khalid Bedri Sweden
Gloria E. Hernandez United States
Mei Chung Moh Singapore
Daniyar T. Dyikanov Russia
Min Su relative to Christoph Ruschil Germany Christoph Ruschil's profile →
Citations per field
00.5×2×4×5.3×
Christoph Ruschil · 1×
Citations per year

Countries citing papers authored by Min Su

Since Specialization
Citations

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

Fields of papers citing papers by Min Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 201542
3 202024
4 201622
5 201621
6 201420
7 201520
8 202019
9 202318
10 201816
11 202115
12 202013
13 201710
14 20249
15 20199
16 20169
17 20218
18 20218
19 20198
20 20218

About Min Su

Min Su is a scholar working on Immunology, Hematology, Radiology, Nuclear Medicine and Imaging, Hepatology and Oncology, having authored 38 papers that have together received 396 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (7 papers), Corneal Surgery and Treatments (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Ocular Surface and Contact Lens (4 papers), Nanoplatforms for cancer theranostics (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (125 citations), Biological Psychiatry (10 citations), Developmental Neuroscience (15 citations), Genetics (35 citations) and Obstetrics and Gynecology (16 citations). Min Su has collaborated with scholars based in China and United States. Frequent co-authors include Laijun Lai, Rong Hu, Yinhong Song, Debra Rood, Cheng Cui, Zhixu He, Xiaohong Tian, Jin Xia Zhao, Haiyan Liu and Yalan Liu. Their work appears in journals such as Stem Cell Research & Therapy, Cellular Immunology, Journal of Neuroinflammation, Frontiers in Immunology and Advanced Healthcare Materials.

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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