Mao Tan Eang

27 papers receiving 503 citations

Peers

Mao Tan Eang
Comparison fields: 5 of 45
  • Infectious Diseases 373
  • Applied Microbiology and Biotechnology 9
  • Finance 38
  • Epidemiology 108
  • Pediatrics, Perinatology and Child Health 60
Replace Ramya Ananthakrishnan with:
Ramya Ananthakrishnan India
Fukushi Morishita Philippines
Shitong Huan China
Yatin N. Dholakia India
Stavia Turyahabwe Uganda
Nimalan Arinaminpathy United Kingdom
Guy Stallworthy United States
Mike Osberg United States
Ejaz Qadeer Pakistan
Hannah Alsdurf Canada
Mao Tan Eang relative to Ramya Ananthakrishnan India Ramya Ananthakrishnan's profile →
Citations per field
00.5×2×2.7×
Ramya Ananthakrishnan · 1×
Citations per year

Countries citing papers authored by Mao Tan Eang

Since Specialization
Citations

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

Fields of papers citing papers by Mao Tan Eang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010105
2 201294
3 201449
4 201638
5 201629
6 201223
7 201321
8
The cost of intensified case finding and isoniazid preventive therapy for HIV-infected patients in Battambang, Cambodia.
200919
9 201818
10 202016
11 201713
12 201611
13
The national tuberculosis drug resistance survey in Cambodia, 2000-2001.
200711
14 201510
15 20219
16 20158
17 20148
18 20168
19 20077
20 20195

About Mao Tan Eang

Mao Tan Eang is a scholar working on Infectious Diseases, Epidemiology, Finance, Pediatrics, Perinatology and Child Health and Surgery, having authored 27 papers that have together received 520 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), Diagnosis and treatment of tuberculosis (3 papers), Mycobacterium research and diagnosis (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Global Maternal and Child Health (2 papers), HIV/AIDS Impact and Responses (2 papers), Healthcare Systems and Reforms (2 papers) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Infectious Diseases (373 citations), Applied Microbiology and Biotechnology (9 citations), Finance (38 citations), Epidemiology (108 citations) and Pediatrics, Perinatology and Child Health (60 citations). Mao Tan Eang has collaborated with scholars based in Cambodia, United States and Philippines. Frequent co-authors include Nobuyuki Nishikiori, Rajendra Prasad Hubraj Yadav, Fukushi Morishita, Diana E. C. Weil, Rifat Ali Atun, D H Mwakyusa, Yoel Lubell, Gregory Duncan, Michael E. Kimerling and Bandana Saini. Their work appears in journals such as Public Health Action, The International Journal of Tuberculosis and Lung Disease, PLoS ONE, Bulletin of the World Health Organization and Western Pacific surveillance response journal.

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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