Eun‐Taek Han

1.1k citations
67 papers · 783 · h-index 18

Impact in

Papers in

Eun‐Taek Han

64 papers receiving 773 citations

Peers

Eun‐Taek Han
Comparison fields: 5 of 94
  • Parasitology 210
  • Public Health, Environmental and Occupational Health 300
  • Small Animals 72
  • Computational Theory and Mathematics 77
  • Ecology 115
Replace Niroshini Nirmalan with:
Niroshini Nirmalan United Kingdom
Robert L. Hickman United States
Gaétan Burgio Australia
Judith Helena Prieto United States
Jin‐Hee Han South Korea
Izumi Kaneko Japan
Hayley M. Bennett United Kingdom
Philippe Dubois France
Meiji Arai Japan
H L Shear United States
Eun‐Taek Han relative to Niroshini Nirmalan United Kingdom Niroshini Nirmalan's profile →
Citations per field
00.5×2.7×
Niroshini Nirmalan · 1×
Citations per year

Countries citing papers authored by Eun‐Taek Han

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Taek Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Taek Han. 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 Eun‐Taek Han. The network helps show where Eun‐Taek Han may publish in the future.

Co-authors

The 25 scholars most cited alongside Eun‐Taek Han, 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 Eun‐Taek Han Line = papers co-authored together Eun‐Taek Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201465
2 200345
3 201635
4 200433
5 200133
6 201731
7 200030
8 200329
9 201928
10 200927
11 201725
12 202022
13 201822
14 201822
15 201820
16 202318
17 201817
18 201817
19 202314
20 201713

About Eun‐Taek Han

Eun‐Taek Han is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Parasitology, Cardiology and Cardiovascular Medicine and Immunology, having authored 67 papers that have together received 783 indexed citations. Recurring topics across this work include Malaria Research and Control (22 papers), Mosquito-borne diseases and control (15 papers), Cardiac electrophysiology and arrhythmias (7 papers), Computational Drug Discovery Methods (7 papers), Vector-borne infectious diseases (6 papers), Ion channel regulation and function (6 papers), Parasite Biology and Host Interactions (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Parasitology (210 citations), Public Health, Environmental and Occupational Health (300 citations), Small Animals (72 citations), Computational Theory and Mathematics (77 citations) and Ecology (115 citations). Eun‐Taek Han has collaborated with scholars based in South Korea, China and Myanmar. Frequent co-authors include Won Sun Park, Jong-Yil Chai, Jin‐Hee Han, Kwon‐Soo Ha, Sang-Mee Guk, Seok‐Ho Hong, Myat Htut Nyunt, Soon-Hyung Lee, Seong‐Kyun Lee and Yun-Kyu Park. Their work appears in journals such as Malaria Journal, The FASEB Journal, BioChip Journal, Clinical and Experimental Pharmacology and Physiology and Journal of Parasitology.

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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