Ki Ok Han

1.4k citations
31 papers · 1.1k indexed · h-index 15

Ki Ok Han

30 papers receiving 1.1k citations

Peers

Ki Ok Han
Comparison fields: 5 of 98
  • Orthopedics and Sports Medicine 254
  • Obstetrics and Gynecology 113
  • Pathology and Forensic Medicine 253
  • Genetics 313
  • Endocrinology, Diabetes and Metabolism 162
Replace Michiko Hirata with:
Michiko Hirata Japan
Sunil Kumar Srivastava India
Alexander Duncan United Kingdom
Zoë Urry United Kingdom
Barrie Kirstein United Kingdom
Susan Reinwald United States
Florence Lorget United States
Mohammed‐Salleh M. Ardawi Saudi Arabia
Jinghua Pan China
Ki Ok Han relative to Michiko Hirata Japan Michiko Hirata's profile →
Citations per field
00.5×4.0×
Michiko Hirata · 1×
Citations per year

Countries citing papers authored by Ki Ok Han

Since Specialization
Citations

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

Fields of papers citing papers by Ki Ok Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki Ok Han. 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 Ki Ok Han. The network helps show where Ki Ok Han may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 201419
3 201431
4 201028
5 201045
6 201091
7 200919
8 2006230
9 200611
10 200533
11 200510
12 200523
13 200352
14
Prevalence of Thyroid Nodules detected by Ultrasonography in Womens Attending Health Check-Ups
20029
15
The Postpartum Recurrence of Graves'Disease and its Contributing Factors
20021
16 20027
17
Relationship between maternal weight gain and newborn's birthweight in women with normal glucose tolerance and gestational diabetes.
20013
18 20015
19 199997
20
Clinical Characteristics and Pregnancy Outcome in Korean Women with Type I & Type II Diabetes Mellitus.
19981

About Ki Ok Han

Ki Ok Han is a scholar working on Obstetrics and Gynecology, Orthopedics and Sports Medicine and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Bone Metabolism and Diseases (5 papers), Gestational Diabetes Research and Management (4 papers), Bone health and treatments (4 papers), Phytoestrogen effects and research (4 papers), Bone health and osteoporosis research (4 papers), Menopause: Health Impacts and Treatments (4 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (254 citations), Obstetrics and Gynecology (113 citations) and Pathology and Forensic Medicine (253 citations). Ki Ok Han has collaborated with scholars based in South Korea and United States. Frequent co-authors include In K. Han, Young Soon Kang, Chang Sun Hwang, Myung‐Haing Cho, Yun Jaie Choi, Chong Su Cho, Ho-Seok Kwak, Su Hee Lee, Tae Boo Choe and Jae Woon Nah. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, FEBS Letters and Journal of Controlled Release.

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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