Inhae Ji

4.6k total citations · 1 hit paper
77 papers, 3.8k citations indexed

About

Inhae Ji is a scholar working on Molecular Biology, Reproductive Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Inhae Ji has authored 77 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 40 papers in Reproductive Medicine and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Inhae Ji's work include Hypothalamic control of reproductive hormones (37 papers), Receptor Mechanisms and Signaling (26 papers) and Neuropeptides and Animal Physiology (13 papers). Inhae Ji is often cited by papers focused on Hypothalamic control of reproductive hormones (37 papers), Receptor Mechanisms and Signaling (26 papers) and Neuropeptides and Animal Physiology (13 papers). Inhae Ji collaborates with scholars based in United States, South Korea and United Kingdom. Inhae Ji's co-authors include Tae H. Ji, Mathis Grossmann, Ki-Sung Ryu, Ratna K. Vadlamudi, Eric Weber, Yong Sang Song, Lee A. Bulla, Huawei Zeng, ChangWoo Lee and William J. Murdoch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Inhae Ji

75 papers receiving 3.7k citations

Hit Papers

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

Peers

Inhae Ji
Comparison fields: 5 of 100
  • Molecular Biology 2.6k
  • Reproductive Medicine 1.3k
  • Cellular and Molecular Neuroscience 1.1k
  • Genetics 561
  • Endocrinology, Diabetes and Metabolism 396
Replace Karin A. Eidne with:
Karin A. Eidne United Kingdom
Colleen A. Flanagan South Africa
Iris Lindberg United States
Arieh A. Katz South Africa
Anne Lefort Belgium
James P. Hoeffler United States
Joyce W. Lustbader United States
Edward Herbert United States
James A. Dias United States
C.E. Sekeris Germany
Karin A. Eidne United Kingdom View profile →
Citations per field, relative to Inhae Ji
Inhae Ji · 1×
Citations per year, relative to Inhae Ji
Inhae Ji · 1×

Countries citing papers authored by Inhae Ji

Since Specialization
Citations

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

Fields of papers citing papers by Inhae Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inhae Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Inhae Ji. A scholar is included among the top collaborators of Inhae 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 Inhae Ji. Inhae 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
1 164
2 3
3 8
4
Interaction and activation of luteinizing hormone receptor
1
5 18
6 40
7 22
8 14
9 31
10 18
11 44
12 62
13 14
14 277
15 109
16 44
17 32
18 2
19 2
20 1

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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