Peihong Dai

1.4k total citations · 1 hit paper
17 papers, 1.0k citations indexed

About

Peihong Dai is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, Peihong Dai has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 7 papers in Virology and 7 papers in Epidemiology. Recurrent topics in Peihong Dai's work include interferon and immune responses (11 papers), Herpesvirus Infections and Treatments (7 papers) and Poxvirus research and outbreaks (7 papers). Peihong Dai is often cited by papers focused on interferon and immune responses (11 papers), Herpesvirus Infections and Treatments (7 papers) and Poxvirus research and outbreaks (7 papers). Peihong Dai collaborates with scholars based in United States, Germany and Hong Kong. Peihong Dai's co-authors include Liang Deng, Stewart Shuman, Weiyi Wang, Dinshaw J. Patel, Winfried Barchet, Manuel Ascano, Thomas Zillinger, Pu Gao, Thomas Tuschl and Gunther Hartmann and has published in prestigious journals such as Cell, Nature Communications and The Journal of Immunology.

In The Last Decade

Peihong Dai

16 papers receiving 1.0k citations

Hit Papers

Structure-Function Analysis of STING Activation by c[G(2′... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Peihong Dai
Comparison fields: 5 of 65
  • Immunology 802
  • Infectious Diseases 404
  • Molecular Biology 397
  • Epidemiology 204
  • Virology 157
Replace Melody M. H. Li with:
Melody M. H. Li United States
Weiyi Wang United States
Rebecca J. Nusbaum United States
Nicolin Bloch United States
Roberta Bona Italy
Giulia Marsili Italy
Erin M. McCartney Australia
Fenglei Du United States
Malika Aïd United States
Thierry Huet France
Melody M. H. Li United States View profile →
Citations per field, relative to Peihong Dai
Peihong Dai · 1×
Citations per year, relative to Peihong Dai
Peihong Dai · 1×

Countries citing papers authored by Peihong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Peihong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peihong Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Peihong Dai. A scholar is included among the top collaborators of Peihong Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peihong Dai. Peihong Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 6
2
Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
0
3 21
4 13
5 16
6 90
7 2
8 1
9 128
10 78
11
Structure-Function Analysis of STING Activation by c[G(2′,5′)pA(3′,5′)p] and Targeting by Antiviral DMXAA breakdown →
457
12 27
13 1
14 37
15 44
16 72
17 45

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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