Yan Mei

94 papers receiving 2.7k citations

Yan Mei's Hit Papers

Siglec-9 acts as an immune-checkpoint molecule on macrophages in glioblastoma, restricting T-cell priming and immunotherapy response 2023 · 164 citations
1640+1+2Years since publication50100150

Peers

Yan Mei
Comparison fields: 5 of 144
  • Cancer Research 436
  • Immunology and Allergy 141
  • Immunology 418
  • Molecular Biology 1.1k
  • Oncology 346
Replace Saurabh Saha with:
Saurabh Saha United States
Julio Vera Germany
Yong Hong Wan China
Chris Bakal United Kingdom
William E. Hughes Australia
Jessica M. Terry Australia
Martin Lackmann Australia
Gabriela Kalna United Kingdom
Ingela Parmryd Sweden
Živana Težak United States
Yan Mei relative to Saurabh Saha United States Saurabh Saha's profile →
Citations per field
00.5×1.6×
Saurabh Saha · 1×
Citations per year

Countries citing papers authored by Yan Mei

Since Specialization
Citations

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

Fields of papers citing papers by Yan Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014331
2 2007254
3 2011169
4
Siglec-9 acts as an immune-checkpoint molecule on macrophages in glioblastoma, restricting T-cell priming and immunotherapy response
Hit paper breakdown →
2023164
5 2016122
6 202199
7 201587
8 200482
9 201976
10 201573
11 201459
12 201757
13 201057
14 201653
15 201951
16 202146
17 202043
18 201740
19 201637
20 201737

About Yan Mei

Yan Mei is a scholar working on Cancer Research, Molecular Biology, Immunology, Oncology and Immunology and Allergy, having authored 99 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Digital Holography and Microscopy (5 papers), Immune Cell Function and Interaction (5 papers), Cell Adhesion Molecules Research (5 papers), Complex Network Analysis Techniques (5 papers), Image Processing Techniques and Applications (5 papers), Epigenetics and DNA Methylation (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Cancer Research (436 citations), Immunology and Allergy (141 citations), Immunology (418 citations), Molecular Biology (1.1k citations) and Oncology (346 citations). Yan Mei has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hao Yu, Xiwei Huang, Christopher Carl Goodnow, Anselm Enders, S.M.T. Chan, T. Daniel Andrews, Arleen Sanny, Edward M. Bertram, Andy Hee‐Meng Tan and Vicky Cho. Their work appears in journals such as Cancer Letters, Journal of Cancer, Cancer Gene Therapy, Journal of Experimental & Clinical Cancer Research and Clinical and Translational 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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