Sudarat Chadsuthi

967 citations
31 papers · 501 indexed · h-index 11
Topics
Leptospirosis research and findings (13 papers)COVID-19 epidemiological studies (12 papers)Viral Infections and Vectors (8 papers)

In The Last Decade

Sudarat Chadsuthi

28 papers receiving 480 citations

Peers

Sudarat Chadsuthi
Comparison fields: 5 of 84
  • Parasitology 270
  • Infectious Diseases 199
  • Public Health, Environmental and Occupational Health 88
  • Modeling and Simulation 74
  • Epidemiology 64
Replace Javier Perez‐Saez with:
Javier Perez‐Saez Switzerland
Changhong Yang China
Mauricio Espinel Ecuador
Viravarn Luvira Thailand
Huaxiang Rao China
Pandji Wibawa Dhewantara Indonesia
Chrispin Owaga Kenya
Nouh Saad Mohamed Sudan
Chaeshin Chu South Korea
Shaosen Zhang China
Sudarat Chadsuthi relative to Javier Perez‐Saez Switzerland Javier Perez‐Saez's profile →
Citations per field
00.5×
Javier Perez‐Saez · 1×
Citations per year

Countries citing papers authored by Sudarat Chadsuthi

Since Specialization
Citations

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

Fields of papers citing papers by Sudarat Chadsuthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudarat Chadsuthi

This figure shows the co-authorship network connecting the top 25 collaborators of Sudarat Chadsuthi. A scholar is included among the top collaborators of Sudarat Chadsuthi 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 Sudarat Chadsuthi. Sudarat Chadsuthi 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 0
3 2
4 0
5 1
6 2
7 7
8 7
9 5
10 6
11 14
12 10
13 43
14 3
15 9
16 14
17 75
18 2
19 7
20 6

About Sudarat Chadsuthi

Sudarat Chadsuthi is a scholar working on Modeling and Simulation, Parasitology and Infectious Diseases, having authored 31 papers that have together received 501 indexed citations. Recurring topics across this work include Leptospirosis research and findings (13 papers), COVID-19 epidemiological studies (12 papers) and Viral Infections and Vectors (8 papers). The work is most often cited by research in Parasitology (270 citations), Modeling and Simulation (74 citations) and Infectious Diseases (199 citations). Sudarat Chadsuthi has collaborated with scholars based in Thailand, France and United Kingdom. Frequent co-authors include Wannapong Triampo, Charin Modchang, Sopon Iamsirithaworn, Karine Chalvet‐Monfray, Anuwat Wiratsudakul, Galayanee Doungchawee, Yongwimon Lenbury, Duangjai Suwancharoen, Dominique Bicout and Padet Siriyasatien. Their work appears in journals such as Scientific Reports, IEEE Access and Journal of Theoretical Biology.

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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