Tae Hee Han

1.0k total citations
29 papers, 773 citations indexed

About

Tae Hee Han is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Tae Hee Han has authored 29 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in Tae Hee Han's work include Neurobiology and Insect Physiology Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Ion channel regulation and function (8 papers). Tae Hee Han is often cited by papers focused on Neurobiology and Insect Physiology Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Ion channel regulation and function (8 papers). Tae Hee Han collaborates with scholars based in South Korea, United States and Ethiopia. Tae Hee Han's co-authors include Mihaela Serpe, Pan Dong Ryu, James C. Liao, So Yeong Lee, Mark L. Mayer, Tienush Rassaf, Jack R. Lancaster, T. Bruce Ferguson, Nathan S. Bryan and Martin Feelisch and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tae Hee Han

28 papers receiving 763 citations

Peers

Tae Hee Han
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 294
  • Molecular Biology 279
  • Endocrine and Autonomic Systems 203
  • Physiology 191
  • Cell Biology 119
Replace Virginie Mignon with:
Virginie Mignon France
C. Oscar Pintado Spain
Josef Buttigieg Canada
Daniela Omodei Italy
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Alexander M. Herman United States
Hannah M. Gibbons New Zealand
Oğuz Gözen Türkiye
J. Edward van Veen United States
Shoko Morita Japan
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Citations per field, relative to Tae Hee Han
Tae Hee Han · 1×
Citations per year, relative to Tae Hee Han
Tae Hee Han · 1×

Countries citing papers authored by Tae Hee Han

Since Specialization
Citations

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

Fields of papers citing papers by Tae Hee Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Hee 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 Tae Hee Han. The network helps show where Tae Hee Han may publish in the future.

Co-authorship network of co-authors of Tae Hee Han

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 3
4 1
5 5
6 4
7 9
8 9
9 76
10 39
11 149
12 6
13 10
14 5
15 11
16 10
17 11
18 19
19 16
20 9

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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