Tae H. Ji

7.2k total citations · 1 hit paper
130 papers, 5.9k citations indexed

About

Tae H. Ji is a scholar working on Molecular Biology, Reproductive Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tae H. Ji has authored 130 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 48 papers in Reproductive Medicine and 20 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tae H. Ji's work include Hypothalamic control of reproductive hormones (45 papers), Receptor Mechanisms and Signaling (28 papers) and Lipid Membrane Structure and Behavior (18 papers). Tae H. Ji is often cited by papers focused on Hypothalamic control of reproductive hormones (45 papers), Receptor Mechanisms and Signaling (28 papers) and Lipid Membrane Structure and Behavior (18 papers). Tae H. Ji collaborates with scholars based in United States, South Korea and China. Tae H. Ji's 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 and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Tae H. Ji

124 papers receiving 5.6k citations

Hit Papers

G Protein-coupled Receptors 1998 2026 2007 2016 1998 250 500 750 1000

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
Karin A. Eidne United Kingdom
Chaim Gilon Israel
Dean P. Edwards United States
Heath Ecroyd Australia
Elliott M. Ross United States
Arieh A. Katz South Africa
Jack‐Michel Renoir France
Michael J. Comb United States
Masato Umeda Japan
Inhae Ji United States View profile →
Citations per field, relative to Tae H. Ji
Tae H. Ji · 1×
Citations per year, relative to Tae H. Ji
Tae H. Ji · 1×

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
# Work Indexed 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

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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2026