Ban Kiem Tee

8 total papers · 1.7k total citations
3 papers, 165 citations indexed

About

Ban Kiem Tee is a scholar working on Infectious Diseases, Epidemiology and General Health Professions. According to data from OpenAlex, Ban Kiem Tee has authored 3 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Epidemiology and 1 paper in General Health Professions. Recurrent topics in Ban Kiem Tee's work include HIV/AIDS Research and Interventions (2 papers), HIV, Drug Use, Sexual Risk (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). Ban Kiem Tee is often cited by papers focused on HIV/AIDS Research and Interventions (2 papers), HIV, Drug Use, Sexual Risk (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). Ban Kiem Tee collaborates with scholars based in Australia, United States and Thailand. Ban Kiem Tee's co-authors include John de Wit, Christopher K. Fairley, Richard D. Moore, Dean Murphy, Jennifer Audsley, Edwina Wright, Peter L. Anderson, Luxi Lal, Mark Stoové and Robert M. Grant and has published in prestigious journals such as AIDS and Journal of the International AIDS Society.

In The Last Decade

Ban Kiem Tee

3 papers receiving 162 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ban Kiem Tee	139	102	61	42	23	3	165
Lindsey Garrison	179 1.3×	108 1.1×	20 0.3×	38 0.9×	62 2.7×	10	235
Nikole Trainor	200 1.4×	169 1.7×	100 1.6×	5 0.1×	54 2.3×	4	226
Ninh Hai Thi Tran	88 0.6×	80 0.8×	12 0.2×	10 0.2×	23 1.0×	8	240
Omar Syarif	172 1.2×	103 1.0×	22 0.4×	31 0.7×	65 2.8×	7	209
Sam Tozay	183 1.3×	53 0.5×	41 0.7×	51 1.2×	38 1.7×	5	282
Jude Armishaw	60 0.4×	88 0.9×	16 0.3×	56 1.3×	14 0.6×	7	201
Ambrose Delpino	244 1.8×	144 1.4×	41 0.7×	39 0.9×	71 3.1×	5	272
Denise Baker	201 1.4×	152 1.5×	51 0.8×	18 0.4×	113 4.9×	6	286
Tebogo Segolodi	101 0.7×	62 0.6×	17 0.3×	29 0.7×	12 0.5×	7	131
Kate White	50 0.4×	50 0.5×	24 0.4×	21 0.5×	44 1.9×	6	254

Countries citing papers authored by Ban Kiem Tee

Since Specialization

Citations

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

Fields of papers citing papers by Ban Kiem Tee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ban Kiem Tee. 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 Ban Kiem Tee. The network helps show where Ban Kiem Tee may publish in the future.

Co-authorship network of co-authors of Ban Kiem Tee

This figure shows the co-authorship network connecting the top 25 collaborators of Ban Kiem Tee. A scholar is included among the top collaborators of Ban Kiem Tee 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 Ban Kiem Tee. Ban Kiem Tee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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