Lin Meng

1.3k citations
40 papers · 979 indexed · h-index 20

Impact in

    • Microbial infections and disease research
  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Cancer Cells and Metastasis

Papers in

    • Peptidase Inhibition and Analysis 5
    • Cancer Cells and Metastasis 3
    • Cancer Immunotherapy and Biomarkers 3

Lin Meng

38 papers receiving 969 citations

Peers

Lin Meng
Comparison fields: 5 of 92
  • Microbiology 90
  • Oncology 380
  • Cancer Research 180
  • Immunology 209
  • Molecular Biology 517
Replace Winfried Rommerskirch with:
Winfried Rommerskirch Germany
Joanna Anders United States
Zhibao Mi United States
Wu-Shiun Hou United States
Sandra L. Biroc United States
Edward M. Alderman United States
Anthony Venida United States
Nancy A. Day United States
Joji Iida United States
Rong Shao United States
Lin Meng relative to Winfried Rommerskirch Germany Winfried Rommerskirch's profile →
Citations per field
00.5×10×15×19.3×
Winfried Rommerskirch · 1×
Citations per year

Countries citing papers authored by Lin Meng

Since Specialization
Citations

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

Fields of papers citing papers by Lin Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20252
3 20242
4 20227
5 202219
6 202213
7 202214
8 202169
9 20217
10 202027
11 202026
12 202028
13 202055
14 2019140
15 201823
16 20158
17 20140
18 201318
19 201033
20 201030

About Lin Meng

Lin Meng is a scholar working on Oncology, Aging, Periodontics, Cancer Research and Microbiology, having authored 40 papers that have together received 979 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (5 papers), Cancer Cells and Metastasis (3 papers), Graphene and Nanomaterials Applications (3 papers), Lung Cancer Treatments and Mutations (3 papers), Protein Tyrosine Phosphatases (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Microbiology (90 citations), Oncology (380 citations), Cancer Research (180 citations), Immunology (209 citations) and Molecular Biology (517 citations). Lin Meng has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Chengchao Shou, Wenhuan Bu, Jian Wu, Like Qu, Hongchen Sun, Beihai Jiang, Xinchen Liu, Xing Li, Caiyun Liu and Liming Jiang. Their work appears in journals such as Frontiers in Immunology, Carcinogenesis, Cancer Letters, Journal of Experimental & Clinical Cancer Research and Chinese Chemical Letters.

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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