Tu‐Xuan Nhan

3.1k citations
22 papers · 2.1k indexed · 3 hit papers · h-index 12

Tu‐Xuan Nhan

21 papers receiving 2.1k citations

Hit Papers

Potential Sexual Transmission of Zika Virus2014202620182022201520142015250500750

Peers

Tu‐Xuan Nhan
Comparison fields: 5 of 118
  • Public Health, Environmental and Occupational Health 1.8k
  • Infectious Diseases 1.6k
  • Epidemiology 515
  • Modeling and Simulation 314
  • Insect Science 148
Replace Kléber Giovanni Luz with:
Kléber Giovanni Luz Brazil
Emilie Robin French Polynesia
Lelia H. Chaisson United States
Susana Vázquez Cuba
Patrick Gérardin France
Marcela Mercado Colombia
Herman Kosasih Indonesia
Ruth Aralí Martínez-Vega Colombia
Emma Aarons United Kingdom
Tun-Linn Thein Singapore
Tu‐Xuan Nhan relative to Kléber Giovanni Luz Brazil Kléber Giovanni Luz's profile →
Citations per field
00.5×1.5×1.8×
Kléber Giovanni Luz · 1×
Citations per year

Countries citing papers authored by Tu‐Xuan Nhan

Since Specialization
Citations

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

Fields of papers citing papers by Tu‐Xuan Nhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tu‐Xuan Nhan. 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 Tu‐Xuan Nhan. The network helps show where Tu‐Xuan Nhan may publish in the future.

Co-authorship network of co-authors of Tu‐Xuan Nhan

This figure shows the co-authorship network connecting the top 25 collaborators of Tu‐Xuan Nhan. A scholar is included among the top collaborators of Tu‐Xuan Nhan 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 Tu‐Xuan Nhan. Tu‐Xuan Nhan 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
#WorkIndexed citations
1 1
2 6
3 31
4 27
5 55
6 16
7 40
8 3
9
Detection of Zika virus in salivabreakdown →
392
10 10
11
Potential Sexual Transmission of Zika Virusbreakdown →
844
12 3
13 7
14 2
15
Potential for Zika virus transmission through blood transfusion demonstrated during an outbreak in French Polynesia, November 2013 to February 2014breakdown →
504
16 34
17 2
18 3
19 27
20 46

About Tu‐Xuan Nhan

Tu‐Xuan Nhan is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Parasitology, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include Viral Infections and Vectors (12 papers), Mosquito-borne diseases and control (11 papers) and Streptococcal Infections and Treatments (5 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Modeling and Simulation (314 citations) and Public Health, Environmental and Occupational Health (1.8k citations). Tu‐Xuan Nhan has collaborated with scholars based in French Polynesia, France and Australia. Frequent co-authors include Didier Musso, Van‐Mai Cao‐Lormeau, Emilie Robin, Anita Teissier, Claudine Roche, Julien Broult, Cicely Roche, D. Bierlaire, Jean-Jacques De Pina and Maïté Aubry. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases and PLoS neglected tropical diseases.

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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