Ja Nam Koo

831 citations
15 papers · 623 indexed · h-index 9
Topics
Gestational Diabetes Research and Management (7 papers)Liver Disease Diagnosis and Treatment (6 papers)Birth, Development, and Health (6 papers)

In The Last Decade

Ja Nam Koo

14 papers receiving 613 citations

Peers

Ja Nam Koo
Comparison fields: 5 of 69
  • Epidemiology 372
  • Pediatrics, Perinatology and Child Health 327
  • Obstetrics and Gynecology 188
  • Pulmonary and Respiratory Medicine 176
  • Surgery 71
Replace Soon Ha Yang with:
Soon Ha Yang South Korea
Augusto F. Schmidt United States
Fuat Akercan Türkiye
Meena Khandelwal United States
Gregory Sysyn United States
Alyse G. Schwartz United States
Rick Risser United States
Wolfgang Thomas Germany
Guillermo Linares United States
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Ja Nam Koo relative to Soon Ha Yang South Korea Soon Ha Yang's profile →
Citations per field
00.5×10×15×19.7×
Soon Ha Yang · 1×
Citations per year

Countries citing papers authored by Ja Nam Koo

Since Specialization
Citations

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

Fields of papers citing papers by Ja Nam Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ja Nam Koo. 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 Ja Nam Koo. The network helps show where Ja Nam Koo may publish in the future.

Co-authorship network of co-authors of Ja Nam Koo

This figure shows the co-authorship network connecting the top 25 collaborators of Ja Nam Koo. A scholar is included among the top collaborators of Ja Nam Koo 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 Ja Nam Koo. Ja Nam Koo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 8
2 15
3 7
4 4
5 26
6 0
7 10
8 22
9 43
10 92
11 1
12 63
13 16
14
Comparison of Pregnancy Outcome between Low Dose Aspirin Alone and Aspirin Plus Prednisolone Treatment in Recurrent Spontaneous Abortion Associated with Antiphospholipid Antibodies.
2
15 314

About Ja Nam Koo

Ja Nam Koo is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Urology, having authored 15 papers that have together received 623 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (7 papers), Liver Disease Diagnosis and Treatment (6 papers) and Birth, Development, and Health (6 papers). The work is most often cited by research in Obstetrics and Gynecology (188 citations), Pediatrics, Perinatology and Child Health (327 citations) and Epidemiology (372 citations). Ja Nam Koo has collaborated with scholars based in South Korea, United States and Laos. Frequent co-authors include Hee Chul Syn, Bo Hyun Yoon, Gheeyoung Choe, Chong Jai Kim, Roberto Romero, Je G., Joong Shin Park, Sun Min Kim, Ig Hwan Oh and Errol R. Norwitz. Their work appears in journals such as PLoS ONE, Scientific Reports and American Journal of Obstetrics and Gynecology.

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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