Dan Mei

8.1k citations
30 papers · 1.5k indexed · h-index 17

Impact in

Papers in

    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 3
    • interferon and immune responses 2

Dan Mei

29 papers receiving 1.5k citations

Peers

Dan Mei
Comparison fields: 5 of 110
  • Reproductive Medicine 425
  • Endocrine and Autonomic Systems 211
  • Sensory Systems 126
  • Pharmaceutical Science 80
  • Behavioral Neuroscience 43
Replace Dirk Roosterman with:
Dirk Roosterman Germany
Cezary Skobowiat Poland
María de los Ángeles García Chile
Dane D. Jensen United States
Xun Zhou China
Fulvio Celsi Italy
Rubén Díaz United States
Ta‐Min Chang United States
Eli Gilad Israel
Graeme L. Fraser United States
Dan Mei relative to Dirk Roosterman Germany Dirk Roosterman's profile →
Citations per field
00.5×3.1×
Dirk Roosterman · 1×
Citations per year

Countries citing papers authored by Dan Mei

Since Specialization
Citations

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

Fields of papers citing papers by Dan Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20235
4 202311
5 202219
6 202236
7 20214
8 20219
9 202077
10 202015
11 202049
12 20206
13 202014
14 201958
15 2017140
16 201247
17 200861
18 200895
19 200826
20 2006476

About Dan Mei

Dan Mei is a scholar working on Immunology, Sensory Systems, Biological Psychiatry, Pharmaceutical Science and Endocrine and Autonomic Systems, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Inflammasome and immune disorders (3 papers), T-cell and B-cell Immunology (3 papers), interferon and immune responses (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Advanced Drug Delivery Systems (2 papers). The work is most often cited by research in Reproductive Medicine (425 citations), Endocrine and Autonomic Systems (211 citations), Sensory Systems (126 citations), Pharmaceutical Science (80 citations) and Behavioral Neuroscience (43 citations). Dan Mei has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include W.S. Fred Wong, W.S. Daniel Tan, Lance J. Kriegsfeld, Rae Silver, George E. Bentley, Kazuyoshi Tsutsui, Kazuyoshi Ukena, Kazuhiko Inoue, Takayoshi Ubuka and Lingling Zhang. Their work appears in journals such as Pharmacological Research, Current Opinion in Pharmacology, European Journal of Pharmaceutics and Biopharmaceutics, International Immunopharmacology and Journal of Microencapsulation.

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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