Pak H. Chung

911 citations
34 papers · 586 indexed · h-index 11
Topics
Assisted Reproductive Technology and Twin Pregnancy (15 papers)Ovarian function and disorders (12 papers)Reproductive Biology and Fertility (11 papers)
Partner nations
United States

In The Last Decade

Pak H. Chung

33 papers receiving 545 citations

Peers

Pak H. Chung
Comparison fields: 5 of 55
  • Reproductive Medicine 346
  • Public Health, Environmental and Occupational Health 232
  • Pediatrics, Perinatology and Child Health 202
  • Genetics 107
  • Molecular Biology 90
Replace Anil Gudi with:
Anil Gudi United Kingdom
Ilan Calderon Israel
Luca Sabatini United Kingdom
Howard D. McClamrock United States
Isaac Ben‐Nun Israel
J. Saïas‐Magnan France
Korula George India
Servet Hacıvelioğlu Türkiye
Ione Barbosa Brazil
Mi Kyoung Koong South Korea
Pak H. Chung relative to Anil Gudi United Kingdom Anil Gudi's profile →
Citations per field
00.5×7.1×
Anil Gudi · 1×
Citations per year

Countries citing papers authored by Pak H. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Pak H. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pak H. Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Pak H. Chung. A scholar is included among the top collaborators of Pak H. Chung 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 Pak H. Chung. Pak H. Chung 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 1
2 0
3 3
4 1
5 1
6 20
7 26
8 25
9 1
10 2
11 7
12 97
13 80
14 78
15 37
16 32
17 41
18 15
19 4
20 59

About Pak H. Chung

Pak H. Chung is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 586 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (15 papers), Ovarian function and disorders (12 papers) and Reproductive Biology and Fertility (11 papers). The work is most often cited by research in Reproductive Medicine (346 citations), Pediatrics, Perinatology and Child Health (202 citations) and Obstetrics and Gynecology (65 citations). Pak H. Chung has collaborated with scholars based in United States. Frequent co-authors include Zev Rosenwaks, Owen Davis, Steven D. Spandorfer, Raymond Chang, Larry I. Barmat, Lucinda L. Veeck, Gianpiero D. Palermo, Peter N. Schlegel, Timothy R. Yeko and Mark McLean. Their work appears in journals such as Human Reproduction, Fertility and Sterility and Obstetrical & Gynecological Survey.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026