Chia‐Wen Ko

3.4k citations
29 papers · 2.4k indexed · h-index 19

Impact in

Papers in

Chia‐Wen Ko

28 papers receiving 2.3k citations

Peers

Chia‐Wen Ko
Comparison fields: 5 of 125
  • Obstetrics and Gynecology 357
  • Endocrine and Autonomic Systems 288
  • Pharmacy 155
  • Pediatrics, Perinatology and Child Health 572
  • Oncology 685
Replace William E. Winter with:
William E. Winter United States
Kirstin Pirie United Kingdom
Junjia Zhu United States
James Paul United Kingdom
Philip A. Gruppuso United States
Arjumand S. Warsy Saudi Arabia
Kwang‐Sun Lee United States
Tom Ruys Netherlands
Edmée Franssen Canada
F. Sessions Cole United States
Chia‐Wen Ko relative to William E. Winter United States William E. Winter's profile →
Citations per field
00.5×5.2×
William E. Winter · 1×
Citations per year

Countries citing papers authored by Chia‐Wen Ko

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Wen Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Wen Ko. 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 Chia‐Wen Ko. The network helps show where Chia‐Wen Ko may publish in the future.

Co-authors

The 25 scholars most cited alongside Chia‐Wen Ko, 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 Chia‐Wen Ko Line = papers co-authored together Chia‐Wen Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2018189
2 201833
3 201718
4 2015261
5 201432
6 201311
7 201132
8 2011137
9 201076
10 2009103
11 20094
12 2009131
13 2008236
14 20071
15 200720
16 2006227
17 20050
18 20044
19 2003164
20 2000158

About Chia‐Wen Ko

Chia‐Wen Ko is a scholar working on Obstetrics and Gynecology, Hematology, Pediatrics, Perinatology and Child Health, Genetics and Statistics and Probability, having authored 29 papers that have together received 2.4k indexed citations. Recurring topics across this work include Global Maternal and Child Health (6 papers), Maternal and Perinatal Health Interventions (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Birth, Development, and Health (3 papers), Pregnancy and preeclampsia studies (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Hearing Loss and Rehabilitation (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (357 citations), Endocrine and Autonomic Systems (288 citations), Pharmacy (155 citations), Pediatrics, Perinatology and Child Health (572 citations) and Oncology (685 citations). Chia‐Wen Ko has collaborated with scholars based in United States, Taiwan and Thailand. Frequent co-authors include Marian Willinger, Richard Pazdur, Uma M. Reddy, Ann T. Farrell, Howard J. Hoffman, Robert Justice, Rajeshwari Sridhara, Michael J. Corwin, Ronald C. Kessler and Robert C. Kane. Their work appears in journals such as Clinical Cancer Research, American Journal of Obstetrics and Gynecology, The Oncologist, Ear and Hearing and Annals of Pharmacotherapy.

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