Jeeyeon Cha

30 papers receiving 2.6k citations

Jeeyeon Cha's Hit Papers

Mechanisms of implantation: strategies for successful pregnancy 2012 · 1.0k citations
1.0k0+4+9Years since publication2505007501000

Peers

Jeeyeon Cha
Comparison fields: 5 of 109
  • Reproductive Medicine 848
  • Obstetrics and Gynecology 651
  • Immunology 1.4k
  • Public Health, Environmental and Occupational Health 434
  • Spectroscopy 273
Replace Susanne Tranguch with:
Susanne Tranguch United States
Felice Arcuri Italy
Henning M. Beier Germany
Riitta Koistinen Finland
Marcella Cintorino Italy
Mandy G. Katz‐Jaffe United States
D. Evain‐Brion France
Wei‐Hua Wang China
Kazuhiko Hoshi Japan
Jaya Nautiyal United Kingdom
Jeeyeon Cha relative to Susanne Tranguch United States Susanne Tranguch's profile →
Citations per field
00.5×2.5×
Susanne Tranguch · 1×
Citations per year

Countries citing papers authored by Jeeyeon Cha

Since Specialization
Citations

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

Fields of papers citing papers by Jeeyeon Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanisms of implantation: strategies for successful pregnancy
Hit paper breakdown →
20121016
2 2016201
3 2011180
4 2020131
5 2011107
6 2014107
7 201676
8 201374
9 201372
10 201867
11 201752
12 201650
13 201449
14 201448
15 201646
16 201343
17 201441
18 201934
19 202132
20 201925

About Jeeyeon Cha

Jeeyeon Cha is a scholar working on Immunology, Molecular Biology, Reproductive Medicine, Surgery and Obstetrics and Gynecology, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (17 papers), Endometriosis Research and Treatment (7 papers), Pregnancy and preeclampsia studies (6 papers), Pancreatic function and diabetes (6 papers), Preterm Birth and Chorioamnionitis (5 papers), Diabetes and associated disorders (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Reproductive Medicine (848 citations), Obstetrics and Gynecology (651 citations), Immunology (1.4k citations), Public Health, Environmental and Occupational Health (434 citations) and Spectroscopy (273 citations). Jeeyeon Cha has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Sudhansu K. Dey, Xiaofei Sun, Yasushi Hirota, Amanda Bartos, Takiko Daikoku, Kristin Burnum-Johnson, Jia Yuan, Wenbo Deng, Mikihiro Yoshie and Robert E. Maxson. Their work appears in journals such as Cell Reports, JCI Insight, Proceedings of the National Academy of Sciences, Nature Medicine 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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