Wei Ruan

422 citations
35 papers · 240 · h-index 9

Impact in

Papers in

Wei Ruan

33 papers receiving 237 citations

Peers

Wei Ruan
Comparison fields: 5 of 51
  • Endocrinology 36
  • Public Health, Environmental and Occupational Health 116
  • Parasitology 27
  • Infectious Diseases 35
  • Computational Theory and Mathematics 21
Replace Olivia Coburn‐Flynn with:
Olivia Coburn‐Flynn United States
Araia Berhane Eritrea
Giselle Maria Rachid Viana Brazil
Rashidul Haque Bangladesh
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Martial Jahevitra Madagascar
Mariusz Wojnarski Thailand
Elias Duarte United States
Doan Hanh Nhan Vietnam
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Citations per field
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Citations per year

Countries citing papers authored by Wei Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202334
2 201826
3 202020
4 201818
5 201915
6 201413
7 201513
8 202211
9
[Species identification in 5 imported cases previously diagnosed as Vivax malaria by parasitological and nested PCR techniques].
20139
10 20208
11 20227
12 20177
13 20246
14 20186
15 20215
16 20175
17 20135
18 20235
19 20214
20 20144

About Wei Ruan

Wei Ruan is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Infectious Diseases, Organic Chemistry and Molecular Biology, having authored 35 papers that have together received 240 indexed citations. Recurring topics across this work include Malaria Research and Control (15 papers), Mosquito-borne diseases and control (5 papers), Parasites and Host Interactions (4 papers), Computational Drug Discovery Methods (3 papers), Trypanosoma species research and implications (2 papers), Click Chemistry and Applications (2 papers), Parasitic Infections and Diagnostics (2 papers) and Legionella and Acanthamoeba research (2 papers). The work is most often cited by research in Endocrinology (36 citations), Public Health, Environmental and Occupational Health (116 citations), Parasitology (27 citations), Infectious Diseases (35 citations) and Computational Theory and Mathematics (21 citations). Wei Ruan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Hualiang Chen, Linong Yao, Zhouling Xie, Wufu Zhu, Bangchuan Hu, Xiaoxiao Wang, Jiaojiao Guo, Qidong Tang, Lingling Zhang and Dan Qiao. Their work appears in journals such as BMC Infectious Diseases, American Journal of Tropical Medicine and Hygiene, Infectious Diseases of Poverty, Malaria Journal and Microbiology Spectrum.

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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