Jeeyeon Cha

33 papers receiving 2.7k citations

Jeeyeon Cha's Hit Papers

Mechanisms of implantation: strategies for successful pregnancy 2012 · 1.1k citations
1.1k0+4+9Years since publication2505007501k

Peers

Jeeyeon Cha
Comparison fields: 5 of 89
  • Immunology 1.2k
  • Obstetrics and Gynecology 266
  • Spectroscopy 292
  • Reproductive Medicine 138
  • Public Health, Environmental and Occupational Health 354
Replace Francisco Domı́nguez with:
Francisco Domı́nguez Spain
John Even Schjenken Australia
Jaya Nautiyal United Kingdom
Henning M. Beier Germany
Anne Schumacher Germany
László Szereday Hungary
Daishu Han China
Ji Wu China
Chandrakant Tayade Canada
JOHN O. WHITE United Kingdom
Jeeyeon Cha relative to Francisco Domı́nguez Spain Francisco Domı́nguez's profile →
Citations per field
00.5×2×4×6×7.1×
Francisco Domı́nguez · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanisms of implantation: strategies for successful pregnancy
Hit paper breakdown →
20121101
2 2016207
3 2011187
4 2020151
5 2011112
6 2014109
7 201380
8 201678
9 201373
10 201870
11 201453
12 201753
13 201452
14 201652
15 201650
16 201344
17 201441
18 201939
19 202134
20 201927

About Jeeyeon Cha

Jeeyeon Cha is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Spectroscopy, Surgery and Epidemiology, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (12 papers), Reproductive Biology and Fertility (8 papers), Pancreatic function and diabetes (7 papers), Preterm Birth and Chorioamnionitis (6 papers), Mass Spectrometry Techniques and Applications (4 papers), Pregnancy and preeclampsia studies (2 papers), Developmental Biology and Gene Regulation (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Immunology (1.2k citations), Obstetrics and Gynecology (266 citations), Spectroscopy (292 citations), Reproductive Medicine (138 citations) and Public Health, Environmental and Occupational Health (354 citations). Jeeyeon Cha has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Sudhansu K. Dey, Xiaofei Sun, Yasushi Hirota, Amanda Bartos, Takiko Daikoku, Jia Yuan, Wenbo Deng, Mikihiro Yoshie, Robert E. Maxson and Hirofumi Haraguchi. Their work appears in journals such as Cell Reports, Proceedings of the National Academy of Sciences, Journal of Clinical Investigation, JCI Insight and Nature Medicine.

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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