Jun Hao Tan

33 total papers · 797 total citations
20 papers, 552 citations indexed

About

Jun Hao Tan is a scholar working on Infectious Diseases, Molecular Biology and Surgery. According to data from OpenAlex, Jun Hao Tan has authored 20 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 5 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Jun Hao Tan's work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers) and Mosquito-borne diseases and control (4 papers). Jun Hao Tan is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers) and Mosquito-borne diseases and control (4 papers). Jun Hao Tan collaborates with scholars based in Singapore, Thailand and China. Jun Hao Tan's co-authors include Zhenyuan Yin, Zheng Rong Chong, Praveen Linga, Kiatichai Faksri, Yik‐Ying Teo, Rick Twee‐Hee Ong, Gabriel Liu, October M. Sessions, Lee Ching Ng and Bee Choo Tai and has published in prestigious journals such as Nature Communications, Molecular Cell and PLoS ONE.

In The Last Decade

Jun Hao Tan

19 papers receiving 540 citations

Author Peers

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

Author						Papers	Cites
Jun Hao Tan	179	150	113	112	108	20	552
J. L. Brady	47 0.3×	10 0.1×	10 0.1×	48 0.4×	53 0.5×	25	608
Shotaro Ando	37 0.2×	18 0.1×	12 0.1×	17 0.2×	94 0.9×	35	553
David C. Wilson	109 0.6×	4 0.0×	14 0.1×	81 0.7×	190 1.8×	48	581
Guan Wang	24 0.1×	32 0.2×	29 0.3×	34 0.3×	30 0.3×	18	472
Charles E. Huggins	7 0.0×	9 0.1×	40 0.4×	86 0.8×	26 0.2×	19	585
Yufei Guo	73 0.4×	8 0.1×	5 0.0×	17 0.2×	196 1.8×	35	576
Alexandra Perras	38 0.2×	30 0.2×	2 0.0×	25 0.2×	23 0.2×	12	550
Zhimin Zhang	66 0.4×	22 0.1×	1 0.0×	17 0.2×	46 0.4×	28	587
Michael Dillon	22 0.1×	2 0.0×	9 0.1×	134 1.2×	84 0.8×	43	576
Donald W. DeYoung	78 0.4×	75 0.5×	19 0.2×	92 0.8×	41 0.4×	19	527

Countries citing papers authored by Jun Hao Tan

Since Specialization

Citations

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

Fields of papers citing papers by Jun Hao Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Hao Tan. 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 Jun Hao Tan. The network helps show where Jun Hao Tan may publish in the future.

Co-authorship network of co-authors of Jun Hao Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hao Tan. A scholar is included among the top collaborators of Jun Hao Tan 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 Jun Hao Tan. Jun Hao Tan 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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