Surang Dejsirilert

61 papers receiving 1.4k citations

Peers

Surang Dejsirilert
Comparison fields: 5 of 92
  • Molecular Medicine 200
  • Applied Microbiology and Biotechnology 69
  • Microbiology 214
  • Endocrinology 150
  • Epidemiology 640
Replace Philippe Lanotte with:
Philippe Lanotte France
Clare Ling United Kingdom
Karen A. Barbadora United States
Anand Manoharan India
Roberto Rosini Italy
Xuzhuang Shen China
James Campbell Vietnam
Joyce C. S. de Azavedo Canada
José Luis Di Fábio United States
Anusak Kerdsin Thailand
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Citations per field
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Citations per year

Countries citing papers authored by Surang Dejsirilert

Since Specialization
Citations

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

Fields of papers citing papers by Surang Dejsirilert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200778
2 201174
3 200969
4 201367
5 199763
6 201359
7 201257
8 201157
9 201054
10 199751
11 201842
12 200041
13 201737
14 200337
15 200436
16 200634
17 199233
18 201231
19 198830
20 199129

About Surang Dejsirilert

Surang Dejsirilert is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Endocrinology and Molecular Medicine, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (15 papers), Streptococcal Infections and Treatments (12 papers), Antibiotic Resistance in Bacteria (9 papers), Burkholderia infections and melioidosis (8 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Infections and Vaccines (6 papers), Legionella and Acanthamoeba research (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). The work is most often cited by research in Molecular Medicine (200 citations), Applied Microbiology and Biotechnology (69 citations), Microbiology (214 citations), Endocrinology (150 citations) and Epidemiology (640 citations). Surang Dejsirilert has collaborated with scholars based in Thailand, Japan and United States. Frequent co-authors include Anusak Kerdsin, Kazunori Oishi, Takayuki Ezaki, Yukihiro Akeda, Dan Takeuchi, KOOMI KANAI, Marcelo Gottschalk, Pathom Sawanpanyalert, Anucha Apisarnthanarak and Shigeyuki Hamada. Their work appears in journals such as Epidemiology and Infection, American Journal of Tropical Medicine and Hygiene, The Pediatric Infectious Disease Journal, European Journal of Clinical Microbiology & Infectious Diseases and Journal of Medical Microbiology.

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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