Haypheng Te

8 total papers · 1.5k total citations
7 papers, 978 citations indexed

About

Haypheng Te is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Health. According to data from OpenAlex, Haypheng Te has authored 7 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Public Health, Environmental and Occupational Health and 1 paper in Health. Recurrent topics in Haypheng Te's work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Mosquito-borne diseases and control (3 papers). Haypheng Te is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Mosquito-borne diseases and control (3 papers). Haypheng Te collaborates with scholars based in Cambodia, Indonesia and Australia. Haypheng Te's co-authors include Harapan Harapan, Amanda Yufika, Mudatsir Mudatsir, Naoya Itoh, Zinatul Hayati, Dewi Megawati, Synat Keam, Abram L. Wagner, Wira Winardi and Kartika Sari Dewi and has published in prestigious journals such as PLoS neglected tropical diseases, Journal of Infection and Public Health and Tropical Medicine and Infectious Disease.

In The Last Decade

Haypheng Te

5 papers receiving 940 citations

Hit Papers

Coronavirus disease 2019 ... 2020 2026 2022 2024 2020 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Haypheng Te 414 167 166 136 127 7 978
Cheng-Bin Wang 414 1.0× 110 0.7× 105 0.6× 89 0.7× 92 0.7× 6 1.1k
Synat Keam 491 1.2× 169 1.0× 199 1.2× 194 1.4× 131 1.0× 14 1.2k
Carmen Huber 388 0.9× 305 1.8× 107 0.6× 81 0.6× 158 1.2× 7 894
Yongshi Yang 469 1.1× 171 1.0× 152 0.9× 147 1.1× 139 1.1× 25 1.2k
Fujun Peng 476 1.1× 170 1.0× 152 0.9× 147 1.1× 139 1.1× 22 1.2k
Andrea Thomas-Bachli 409 1.0× 315 1.9× 109 0.7× 81 0.6× 160 1.3× 15 988
Jasmine Mangat 678 1.6× 145 0.9× 170 1.0× 270 2.0× 64 0.5× 8 1.1k
Risha Patidar 598 1.4× 141 0.8× 174 1.0× 271 2.0× 64 0.5× 10 1.1k
Sulien Al Khalili 515 1.2× 184 1.1× 101 0.6× 90 0.7× 73 0.6× 7 855
Priyank Desai 608 1.5× 142 0.9× 170 1.0× 273 2.0× 64 0.5× 11 1.0k

Countries citing papers authored by Haypheng Te

Since Specialization
Citations

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

Fields of papers citing papers by Haypheng Te

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haypheng Te

This figure shows the co-authorship network connecting the top 25 collaborators of Haypheng Te. A scholar is included among the top collaborators of Haypheng Te 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 Haypheng Te. Haypheng Te 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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