Manman Dai

973 citations
36 papers · 656 · h-index 16

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Animal Virus Infections Studies

Papers in

    • interferon and immune responses 16
    • Immune Response and Inflammation 8
    • Immune Cell Function and Interaction 6
    • Herpesvirus Infections and Treatments 13
    • Influenza Virus Research Studies 6

Manman Dai

35 papers receiving 655 citations

Peers

Manman Dai
Comparison fields: 5 of 62
  • Immunology 285
  • Animal Science and Zoology 128
  • Agronomy and Crop Science 99
  • Epidemiology 246
  • Cancer Research 68
Replace Xian Lin with:
Xian Lin China
Chao Qin China
J. C. McKay United Kingdom
Thi Lien-Anh Nguyên Belgium
Boli Hu China
Yinxing Zhu China
Judith Verhelst Belgium
Xiaojuan Chi China
Takeya Morozumi Japan
Florian Puehler Germany
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Citations per field
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Xian Lin · 1×
Citations per year

Countries citing papers authored by Manman Dai

Since Specialization
Citations

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

Fields of papers citing papers by Manman Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010102
2 201550
3 201237
4 201632
5 201932
6 201631
7 202030
8 201930
9 201627
10 202325
11 201324
12 201620
13 202218
14 201618
15 202017
16 201616
17 202215
18 202015
19 202514
20 201913

About Manman Dai

Manman Dai is a scholar working on Immunology, Epidemiology, Molecular Biology, Agronomy and Crop Science and Infectious Diseases, having authored 36 papers that have together received 656 indexed citations. Recurring topics across this work include interferon and immune responses (16 papers), Herpesvirus Infections and Treatments (13 papers), Immune Response and Inflammation (8 papers), Influenza Virus Research Studies (6 papers), Immune Cell Function and Interaction (6 papers), Animal Disease Management and Epidemiology (5 papers), vaccines and immunoinformatics approaches (4 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Immunology (285 citations), Animal Science and Zoology (128 citations), Agronomy and Crop Science (99 citations), Epidemiology (246 citations) and Cancer Research (68 citations). Manman Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ming Liao, Min Feng, J.P. Cant, Sergio A. Burgos, Weisheng Cao, Xiquan Zhang, Di Liu, Meiqing Shi, Tingting Xie and Chenggang Xu. Their work appears in journals such as Poultry Science, Veterinary Research, Frontiers in Cellular and Infection Microbiology, Frontiers in Microbiology and Journal of Virology.

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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