Yiming Meng

1.4k citations
60 papers · 1.2k · h-index 20

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Immunotherapy and Immune Responses 18
    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 7
    • Immune Response and Inflammation 7

Yiming Meng

59 papers receiving 1.2k citations

Peers

Yiming Meng
Comparison fields: 5 of 112
  • Immunology 274
  • Genetics 106
  • Automotive Engineering 97
  • Cancer Research 114
  • Psychiatry and Mental health 113
Replace Jun‐ichi Sakabe with:
Jun‐ichi Sakabe Japan
Jiwei Wang China
Se‐Hee Kim South Korea
Yujuan Zhu China
Chunhui Sun China
Yao Zhang China
Bernard Učakar Belgium
Melissa Smith United States
Xiaohui Tian China
Yusheng Li China
Yiming Meng relative to Jun‐ichi Sakabe Japan Jun‐ichi Sakabe's profile →
Citations per field
00.5×10.3×
Jun‐ichi Sakabe · 1×
Citations per year

Countries citing papers authored by Yiming Meng

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018190
2 2015120
3 201754
4 201948
5 202145
6 201842
7 201940
8 201139
9 201236
10 201534
11 201433
12 201927
13 202027
14 201725
15 201223
16 201623
17 201220
18 201320
19 201319
20 200519

About Yiming Meng

Yiming Meng is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Cancer Research, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (18 papers), Immune Cell Function and Interaction (14 papers), Cancer, Stress, Anesthesia, and Immune Response (8 papers), T-cell and B-cell Immunology (7 papers), Immune Response and Inflammation (7 papers), Neuropeptides and Animal Physiology (6 papers), Advancements in Battery Materials (4 papers) and Advanced Battery Technologies Research (3 papers). The work is most often cited by research in Immunology (274 citations), Genetics (106 citations), Automotive Engineering (97 citations), Cancer Research (114 citations) and Psychiatry and Mental health (113 citations). Yiming Meng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fengping Shan, Guirong Zhang, Dengsong Zhang, Guorong Chen, Liyi Shi, Haozhe Piao, Noreen Griffin, Jing Sun, Juan An and Fei Dou. Their work appears in journals such as International Immunopharmacology, Human Vaccines & Immunotherapeutics, International Journal of Biological Macromolecules, Current Addiction Reports and Nano Energy.

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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