Rong Hai

11.7k total citations · 2 hit papers
122 papers, 6.6k citations indexed

About

Rong Hai is a scholar working on Epidemiology, Genetics and Molecular Biology. According to data from OpenAlex, Rong Hai has authored 122 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Epidemiology, 40 papers in Genetics and 34 papers in Molecular Biology. Recurrent topics in Rong Hai's work include Influenza Virus Research Studies (45 papers), Respiratory viral infections research (28 papers) and Yersinia bacterium, plague, ectoparasites research (19 papers). Rong Hai is often cited by papers focused on Influenza Virus Research Studies (45 papers), Respiratory viral infections research (28 papers) and Yersinia bacterium, plague, ectoparasites research (19 papers). Rong Hai collaborates with scholars based in United States, China and Austria. Rong Hai's co-authors include Peter Palese, Adolfo Garcı́a-Sastre, Florian Krammer, Natalie Pica, Gene S. Tan, Irina Margine, Ian A. Wilson, Damian C. Ekiert, Jens C. Krause and Randy A. Albrecht and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Rong Hai

122 papers receiving 6.5k citations

Hit Papers

Functional profiling of a human cytomegalovirus genome 2003 2026 2010 2018 2003 2010 100 200 300 400 500

Peers

Rong Hai
Comparison fields: 5 of 126
  • Epidemiology 5.1k
  • Immunology 2.3k
  • Infectious Diseases 1.5k
  • Molecular Biology 1.4k
  • Agronomy and Crop Science 778
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Ted M. Ross United States View profile →
Citations per field, relative to Rong Hai
Rong Hai · 1×
Citations per year, relative to Rong Hai
Rong Hai · 1×

Countries citing papers authored by Rong Hai

Since Specialization
Citations

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

Fields of papers citing papers by Rong Hai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Hai

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Hai. A scholar is included among the top collaborators of Rong Hai 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 Rong Hai. Rong Hai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 12
3 12
4 10
5 51
6 19
7 4
8 3
9 79
10 99
11 8
12 9
13 19
14 62
15 10
16 7
17
Structural Basis of Preexisting Immunity to the 2009 H1N1 Pandemic Influenza Virus breakdown →
485
18
An overview of the epidemiological characteristics of Marmota himalayana plague on Qinghai-Tibet plateau.
3
19 157
20
Molecular biology character of Yersinia pestis strains isolated from Shiqu countyt, Sichuan Province, China
1

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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