Yiming Meng

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

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Genetics top 10%

Papers in

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

Yiming Meng

58 papers receiving 1.2k citations

Peers

Yiming Meng
Comparison fields: 5 of 106
  • Immunology 250
  • Genetics 96
  • Automotive Engineering 98
  • Psychiatry and Mental health 106
  • Cancer Research 98
Replace Jun‐ichi Sakabe with:
Jun‐ichi Sakabe Japan
Pyoung Han Hwang South Korea
Se‐Hee Kim South Korea
Boya Wang China
Jiwei Wang China
Bernard Učakar Belgium
Yusheng Li China
Melissa Smith United States
Aihua Jiang China
Han Yin China
Yiming Meng relative to Jun‐ichi Sakabe Japan Jun‐ichi Sakabe's profile →
Citations per field
00.5×11.8×
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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018198
2 2015120
3 201754
4 201948
5 202147
6 201843
7 201943
8 201140
9 201238
10 201534
11 201433
12 202029
13 201928
14 201725
15 201623
16 201223
17 201220
18 201320
19 200519
20 201319

About Yiming Meng

Yiming Meng is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Psychiatry and Mental health, having authored 59 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), Immune Response and Inflammation (7 papers), T-cell and B-cell Immunology (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 (250 citations), Genetics (96 citations), Automotive Engineering (98 citations), Psychiatry and Mental health (106 citations) and Cancer Research (98 citations). Yiming Meng has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Fengping Shan, Guorong Chen, Dengsong Zhang, Guirong Zhang, Liyi Shi, Haozhe Piao, Juan An, Jing Sun, Noreen Griffin and Fei Dou. Their work appears in journals such as International Immunopharmacology, Human Vaccines & Immunotherapeutics, International Journal of Biological Macromolecules, Life and Cellular Immunology.

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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