Min Dai

4.4k citations
161 papers · 2.9k · h-index 30

Impact in

Papers in

    • Gut microbiota and health 8
    • Acute Myeloid Leukemia Research 21
    • Hematopoietic Stem Cell Transplantation 18

Min Dai

150 papers receiving 2.8k citations

Peers

Min Dai
Comparison fields: 5 of 143
  • Sensory Systems 388
  • Neurology 325
  • Hematology 421
  • Immunology 628
  • Rheumatology 428
Replace Geerten P. van Nieuw Amerongen with:
Geerten P. van Nieuw Amerongen Netherlands
Robert M. Verdijk Netherlands
Paola Alberti Italy
David Rosen United States
Yuki Kimura Japan
Elaine L. Alexander United States
Hongzhao Li China
D. Schrijvers Belgium
Ludger Fink Germany
Xu Zhang China
Min Dai relative to Geerten P. van Nieuw Amerongen Netherlands Geerten P. van Nieuw Amerongen's profile →
Citations per field
00.5×
Geerten P. van Nieuw Amerongen · 1×
Citations per year

Countries citing papers authored by Min Dai

Since Specialization
Citations

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

Fields of papers citing papers by Min Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012194
2 2015107
3 2019105
4 201498
5 200871
6 201871
7 201869
8 202069
9 202068
10 201165
11 201761
12 200958
13 201353
14 201751
15 201650
16 201550
17 201350
18 200948
19 201946
20 200946

About Min Dai

Min Dai is a scholar working on Molecular Biology, Hematology, Epidemiology, Rheumatology and Oncology, having authored 161 papers that have together received 2.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Systemic Lupus Erythematosus Research (19 papers), Hematopoietic Stem Cell Transplantation (18 papers), Immune Cell Function and Interaction (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Gut microbiota and health (8 papers), Renal Diseases and Glomerulopathies (7 papers) and Clostridium difficile and Clostridium perfringens research (7 papers). The work is most often cited by research in Sensory Systems (388 citations), Neurology (325 citations), Hematology (421 citations), Immunology (628 citations) and Rheumatology (428 citations). Min Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaorui Shi, Qifa Liu, Alfred L. Nuttall, Qiong Fu, Chunde Bao, Yue Yang, Qiang Guo, Fei Zhang, Lingling Neng and Anders Fridberger. Their work appears in journals such as Blood, Arthritis Research & Therapy, Frontiers in Immunology, PLoS ONE and Medicine.

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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