Geng Meng

2.0k citations
46 papers · 1.3k · h-index 18

Impact in

Papers in

    • vaccines and immunoinformatics approaches 4
    • Advanced biosensing and bioanalysis techniques 3
    • Viral gastroenteritis research and epidemiology 6
    • SARS-CoV-2 and COVID-19 Research 6

Geng Meng

44 papers receiving 1.3k citations

Peers

Geng Meng
Comparison fields: 5 of 98
  • Infectious Diseases 491
  • Cardiology and Cardiovascular Medicine 254
  • Agronomy and Crop Science 127
  • Immunology 220
  • Animal Science and Zoology 111
Replace Fang He with:
Fang He China
Tobias J. Tuthill United Kingdom
Efrain Guzman United Kingdom
Kevin L. McKnight United States
Philippe Le Mercier Switzerland
Yasushi Muraki Japan
Yunwen Hu China
Juliet Morrison United States
Leticia Cedillo‐Barrón Mexico
Lisa Miorin United States
Geng Meng relative to Fang He China Fang He's profile →
Citations per field
00.5×1.5×
Fang He · 1×
Citations per year

Countries citing papers authored by Geng Meng

Since Specialization
Citations

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

Fields of papers citing papers by Geng Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015265
2 2015144
3 2021135
4 2012109
5 2015108
6 202054
7 201340
8 202233
9 202332
10 201031
11 202126
12 201925
13 201925
14 202019
15 201918
16 202117
17 202017
18 201317
19 201317
20 202017

About Geng Meng

Geng Meng is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (8 papers), Viral gastroenteritis research and epidemiology (6 papers), Animal Disease Management and Epidemiology (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Vector-Borne Animal Diseases (5 papers), vaccines and immunoinformatics approaches (4 papers), Cellular transport and secretion (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Infectious Diseases (491 citations), Cardiology and Cardiovascular Medicine (254 citations), Agronomy and Crop Science (127 citations), Immunology (220 citations) and Animal Science and Zoology (111 citations). Geng Meng has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Michael G. Rossmann, Zhenglin Zhu, Kaiwen Meng, Ju Sheng, Yue Liu, Pavel Plevka, Ming Luo, Xiaofeng Zheng, Gexin Liu and Wei Bu. Their work appears in journals such as The Journal of Immunology, Journal of Virology, Journal of Biological Chemistry, Scientific Reports and Database.

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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