Christina S. Han

2.0k citations
94 papers · 1.3k indexed · h-index 20

Christina S. Han

89 papers receiving 1.2k citations

Peers

Christina S. Han
Comparison fields: 5 of 121
  • Obstetrics and Gynecology 429
  • Pediatrics, Perinatology and Child Health 383
  • Public Health, Environmental and Occupational Health 321
  • Epidemiology 371
  • Immunology 198
Replace Todd Rosen with:
Todd Rosen United States
C. K. Ekelund Denmark
Panagiotis Tsikouras Greece
Konstantinos Dinas Greece
Judy Arnon Israel
Shaoshuai Wang China
Krzysztof Czajkowski Poland
Adalgisa Pietropolli Italy
Tibor Nyári Hungary
David S. McKenna United States
Christina S. Han relative to Todd Rosen United States Todd Rosen's profile →
Citations per field
00.5×1.5×2.4×
Todd Rosen · 1×
Citations per year

Countries citing papers authored by Christina S. Han

Since Specialization
Citations

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

Fields of papers citing papers by Christina S. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202011
3 20208
4 20201
5 202017
6 20197
7 20191
8 20171
9 201718
10 20176
11 201628
12 201518
13
Nonparametric estimation and testing of exchangeable graph models
201417
14 201477
15 201216
16 201114
17 201010
18 20102
19 200816
20 2008104

About Christina S. Han

Christina S. Han is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 94 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (20 papers), Prenatal Screening and Diagnostics (20 papers), Gestational Diabetes Research and Management (14 papers), Maternal and fetal healthcare (13 papers), Maternal and Perinatal Health Interventions (10 papers), Assisted Reproductive Technology and Twin Pregnancy (8 papers), Ectopic Pregnancy Diagnosis and Management (8 papers) and Preterm Birth and Chorioamnionitis (7 papers). The work is most often cited by research in Obstetrics and Gynecology (429 citations), Pediatrics, Perinatology and Child Health (383 citations) and Public Health, Environmental and Occupational Health (321 citations). Christina S. Han has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Vikki M. Abrahams, Erika F. Werner, Christian M. Pettker, Melissa J. Mulla, Stephen Thung, Seth Guller, Lawrence D. Platt, Catalin S. Buhimschi, Joshua A. Copel and Edmund F. Funai. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Obstetrics and Gynecology, American Journal of Perinatology, American Journal of Obstetrics & Gynecology MFM and American Journal of Reproductive Immunology.

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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