Chanthap Lon

4.5k citations
50 papers · 890 · h-index 18

Impact in

Papers in

Chanthap Lon

50 papers receiving 867 citations

Peers

Chanthap Lon
Comparison fields: 5 of 85
  • Parasitology 173
  • Public Health, Environmental and Occupational Health 749
  • Pharmacology 82
  • Computational Theory and Mathematics 129
  • Infectious Diseases 141
Replace Wirichada Pongtavornpinyo with:
Wirichada Pongtavornpinyo Thailand
Deus S. Ishengoma Tanzania
Abdunoor M. Kabanywanyi Tanzania
Samwel Gesase Tanzania
Kephas Otieno Kenya
Sofonías K. Tessema Ethiopia
Sandra Incardona Switzerland
Myat Phone Kyaw Myanmar
Seif Shekalaghe Tanzania
Rosalynn Ord United Kingdom
Chanthap Lon relative to Wirichada Pongtavornpinyo Thailand Wirichada Pongtavornpinyo's profile →
Citations per field
00.5×1.5×
Wirichada Pongtavornpinyo · 1×
Citations per year

Countries citing papers authored by Chanthap Lon

Since Specialization
Citations

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

Fields of papers citing papers by Chanthap Lon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200695
2 200689
3 201558
4 201152
5 201038
6 201738
7 201335
8 201634
9 201632
10 201227
11 202022
12 201322
13 201721
14 200521
15 202219
16 201519
17 201118
18 201718
19 202214
20 201414

About Chanthap Lon

Chanthap Lon is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Parasitology, Computational Theory and Mathematics and Pharmacology, having authored 50 papers that have together received 890 indexed citations. Recurring topics across this work include Malaria Research and Control (37 papers), Mosquito-borne diseases and control (25 papers), Computational Drug Discovery Methods (9 papers), Vector-borne infectious diseases (8 papers), Parasites and Host Interactions (5 papers), HIV/AIDS drug development and treatment (5 papers), Viral Infections and Vectors (5 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Parasitology (173 citations), Public Health, Environmental and Occupational Health (749 citations), Pharmacology (82 citations), Computational Theory and Mathematics (129 citations) and Infectious Diseases (141 citations). Chanthap Lon has collaborated with scholars based in Cambodia, United States and Thailand. Frequent co-authors include David Saunders, Reiko Tsuyuoka, Jessica T. Lin, Charlotte Lanteri, Pernille Jorgensen, David Bell, Panita Gosi, Jonathan J. Juliano, Stuart D. Tyner and Sabaithip Sriwichai. Their work appears in journals such as Malaria Journal, American Journal of Tropical Medicine and Hygiene, Antimicrobial Agents and Chemotherapy, The Journal of Infectious Diseases and PLoS ONE.

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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