Nimol Khim
- Public Health, Environmental and Occupational Health top 0.2%
- Computational Theory and Mathematics top 0.5%
- Parasitology top 1%
- Infectious Diseases top 5%
- Pharmacology top 1%
- Co-authors
- Didier MénardOdile Mercereau‐PuijalonBenoît WitkowskiSaorin KimPharath LimThierry FandeurChristiane BouchierChanaki Amaratunga
- Topics
- Malaria Research and Control (58 papers)Mosquito-borne diseases and control (35 papers)Computational Drug Discovery Methods (14 papers)
- Cited by
- Public Health, Environmental and Occupational HealthParasitologyComputational Theory and Mathematics
- Partner nations
- CambodiaFranceSwitzerland
In The Last Decade
Nimol Khim
59 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Public Health, Environmental and Occupational Health 3.0k
- Computational Theory and Mathematics 1.0k
- Parasitology 522
- Infectious Diseases 413
- Pharmacology 404
Countries citing papers authored by Nimol Khim
This map shows the geographic impact of Nimol Khim'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 Nimol Khim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nimol Khim more than expected).
Fields of papers citing papers by Nimol Khim
This network shows the impact of papers produced by Nimol Khim. 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 Nimol Khim. The network helps show where Nimol Khim may publish in the future.
Co-authorship network of co-authors of Nimol Khim
This figure shows the co-authorship network connecting the top 25 collaborators of Nimol Khim. A scholar is included among the top collaborators of Nimol Khim 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 Nimol Khim. Nimol Khim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 22 | |
| 5 | 19 | |
| 6 | 11 | |
| 7 | 37 | |
| 8 | 47 | |
| 9 | 36 | |
| 10 | K13-propeller mutations confer artemisinin resistance in Plasmodium falciparum clinical isolatesbreakdown → | 473 |
| 11 | 63 | |
| 12 | 1 | |
| 13 | Novel phenotypic assays for the detection of artemisinin-resistant Plasmodium falciparum malaria in Cambodia: in-vitro and ex-vivo drug-response studiesbreakdown → | 406 |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 75 | |
| 17 | 130 | |
| 18 | 18 | |
| 19 | 86 | |
| 20 | 111 |
About Nimol Khim
Nimol Khim is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Pharmacology, having authored 61 papers that have together received 3.2k indexed citations. Recurring topics across this work include Malaria Research and Control (58 papers), Mosquito-borne diseases and control (35 papers) and Computational Drug Discovery Methods (14 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (3.0k citations), Parasitology (522 citations) and Computational Theory and Mathematics (1.0k citations). Nimol Khim has collaborated with scholars based in Cambodia, France and Switzerland. Frequent co-authors include Didier Ménard, Odile Mercereau‐Puijalon, Benoît Witkowski, Saorin Kim, Pharath Lim, Thierry Fandeur, Christiane Bouchier, Chanaki Amaratunga, Rick M. Fairhurst and Valentine Duru. Their work appears in journals such as Science, The Lancet and Nature Communications.
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.