Tae H. Ji

7.2k citations
130 papers · 5.9k indexed · 1 hit paper · h-index 43
Topics
Hypothalamic control of reproductive hormones (45 papers)Receptor Mechanisms and Signaling (28 papers)Lipid Membrane Structure and Behavior (18 papers)

In The Last Decade

Tae H. Ji

124 papers receiving 5.6k citations

Hit Papers

G Protein-coupled Receptors199820262007201619982505007501000

Peers

Tae H. Ji
Comparison fields: 5 of 128
  • Molecular Biology 3.8k
  • Reproductive Medicine 1.5k
  • Cellular and Molecular Neuroscience 1.3k
  • Genetics 764
  • Endocrinology, Diabetes and Metabolism 554
Replace Inhae Ji with:
Inhae Ji United States
Dean P. Edwards United States
Karin A. Eidne United Kingdom
Elliott M. Ross United States
Chaim Gilon Israel
Michael J. Comb United States
Yasuji Furutani Japan
Arieh A. Katz South Africa
Jack‐Michel Renoir France
Heath Ecroyd Australia
Tae H. Ji relative to Inhae Ji United States Inhae Ji's profile →
Citations per field
00.5×1.5×1.8×
Inhae Ji · 1×
Citations per year

Countries citing papers authored by Tae H. Ji

Since Specialization
Citations

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

Fields of papers citing papers by Tae H. Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae H. Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Tae H. Ji. A scholar is included among the top collaborators of Tae H. Ji 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 H. Ji. Tae H. Ji 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
#WorkIndexed citations
1 5
2 0
3 3
4 164
5 8
6 54
7
Interaction and activation of luteinizing hormone receptor
1
8 18
9 22
10 14
11 31
12 18
13 44
14 277
15 11
16 109
17 44
18 32
19 2
20 2

About Tae H. Ji

Tae H. Ji is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 130 papers that have together received 5.9k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (45 papers), Receptor Mechanisms and Signaling (28 papers) and Lipid Membrane Structure and Behavior (18 papers). The work is most often cited by research in Reproductive Medicine (1.5k citations), Cellular and Molecular Neuroscience (1.3k citations) and Molecular Biology (3.8k citations). Tae H. Ji has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Inhae Ji, Mathis Grossmann, Lee A. Bulla, Ratna K. Vadlamudi, Dan W. Urry, Margaret Perkins, Ki-Sung Ryu, P. Michael Conn, Yong Sang Song and Eric Weber. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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