K Silamut

24 papers receiving 969 citations

Peers

K Silamut
Comparison fields: 5 of 88
  • Public Health, Environmental and Occupational Health 755
  • Parasitology 124
  • Pharmacology 153
  • Genetics 60
  • Computational Theory and Mathematics 90
Replace Sasithon Pukrittayakamee with:
Sasithon Pukrittayakamee Thailand
Lars Rombo Sweden
Deborah Waller United Kingdom
Dinh Xuan Sinh Vietnam
M E Molyneux United Kingdom
Sirivan Vanijanonta Thailand
Robin D. Powell United States
Sornchai Looareesuwan Thailand
W.H. Wernsdorfer Austria
Catherine Waruiru United Kingdom
K Silamut relative to Sasithon Pukrittayakamee Thailand Sasithon Pukrittayakamee's profile →
Citations per field
00.5×1.6×
Sasithon Pukrittayakamee · 1×
Citations per year

Countries citing papers authored by K Silamut

Since Specialization
Citations

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

Fields of papers citing papers by K Silamut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999175
2 1993132
3 199178
4 199168
5 199766
6 198358
7 199153
8 199546
9 198646
10 199943
11 199639
12 199038
13 199835
14 198832
15 201330
16 199827
17 198626
18 198926
19
Laboratory diagnosis of malaria infection - A short review of methods
200723
20 198722

About K Silamut

K Silamut is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Parasitology, Small Animals and Emergency Medicine, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Malaria Research and Control (16 papers), Mosquito-borne diseases and control (11 papers), Digital Imaging for Blood Diseases (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Veterinary Pharmacology and Anesthesia (2 papers), Intramuscular injections and effects (2 papers), Trypanosoma species research and implications (2 papers) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (755 citations), Parasitology (124 citations), Pharmacology (153 citations), Genetics (60 citations) and Computational Theory and Mathematics (90 citations). K Silamut has collaborated with scholars based in Thailand, United Kingdom and Netherlands. Frequent co-authors include Nicholas John White, Brian Angus, Timothy M. E. Davis, Kesinee Chotivanich, M Ho, J Vreeken, Piet A. Kager, P. Molunto, Arjen M. Dondorp and Ronatrai Ruangveerayuth. Their work appears in journals such as Transactions of the Royal Society of Tropical Medicine and Hygiene, American Journal of Tropical Medicine and Hygiene, British Journal of Clinical Pharmacology, Acta Tropica and European Journal of Clinical Pharmacology.

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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