Ran Wang

1.4k citations
94 papers · 918 indexed · h-index 17

Ran Wang

82 papers receiving 906 citations

Peers

Ran Wang
Comparison fields: 5 of 124
  • Infectious Diseases 221
  • Microbiology 46
  • Ecology 161
  • Endocrinology 32
  • Public Health, Environmental and Occupational Health 157
Replace Brett J. Green with:
Brett J. Green United States
Akihiko Ikegami Japan
Lifang Jiang China
Kathryn J. Pflughoeft United States
Renato Alves Portugal
Samer Singh India
Devojit Kumar Sarma India
Koji Yokoyama Japan
Andrea Du Toit United States
Ran Wang relative to Brett J. Green United States Brett J. Green's profile →
Citations per field
00.5×
Brett J. Green · 1×
Citations per year

Countries citing papers authored by Ran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20251
4 20251
5 20250
6 20250
7 20239
8 20236
9 202317
10 20231
11 20231
12 20222
13 20228
14 20204
15 20200
16 202011
17 202011
18 201525
19 20141
20
IgG Antibody Detection of Rubella Virus in the Rubella Epidemiological Investigation
20102

About Ran Wang

Ran Wang is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Virology and Parasitology, having authored 94 papers that have together received 918 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (23 papers), Viral Infections and Vectors (14 papers), Bacteriophages and microbial interactions (9 papers), Respiratory viral infections research (8 papers), Cytomegalovirus and herpesvirus research (7 papers), Viral-associated cancers and disorders (7 papers), Malaria Research and Control (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Infectious Diseases (221 citations), Microbiology (46 citations), Ecology (161 citations), Endocrinology (32 citations) and Public Health, Environmental and Occupational Health (157 citations). Ran Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongduo Bao, Zhengde Xie, Linlin Zhang, Hui Zhang, Lexin Zhang, Dongying Fan, Mengjia Liu, Tifeng Jiao, John Hudson and Craig Billington. Their work appears in journals such as Infection Genetics and Evolution, Journal of Visualized Experiments, PLoS neglected tropical diseases, Frontiers in Cellular and Infection Microbiology and Journal of Tropical Medicine.

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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