Ronald C.W.

54.8k citations
493 papers · 15.6k indexed · 7 hit papers · h-index 66

Ronald C.W.

468 papers receiving 15.3k citations

Hit Papers

Globa...252009202620142020200400600

Peers

Ronald C.W.
Comparison fields: 5 of 188
  • Endocrinology, Diabetes and Metabolism 5.9k
  • Obstetrics and Gynecology 2.4k
  • Nephrology 1.0k
  • Pediatrics, Perinatology and Child Health 1.9k
  • Cardiology and Cardiovascular Medicine 1.6k
Replace Robert L. Hanson with:
Robert L. Hanson United States
Alexandra Kautzky‐Willer Austria
Yvonne T. van der Schouw Netherlands
Anthony J. Hanley Canada
Henning Beck‐Nielsen Denmark
María Inês Schmidt Brazil
Allan Vaag Denmark
Robert E. Ratner United States
Giuseppina Imperatore United States
G. A. Hitman United Kingdom
Ronald C.W. relative to Robert L. Hanson United States Robert L. Hanson's profile →
Citations per field
00.5×3.5×
Robert L. Hanson · 1×
Citations per year

Countries citing papers authored by Ronald C.W.

Since Specialization
Citations

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

Fields of papers citing papers by Ronald C.W.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald C.W.. 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 Ronald C.W.. The network helps show where Ronald C.W. may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
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7 202317
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15 20216
16
Evaluation of p16 in Epithelial Ovarian Cancer for a 10-Year Study in Northeast China: Significance of HPV in Correlation with PD-L1 Expression
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17 201832
18 201711
19 20093
20 200938

About Ronald C.W.

Ronald C.W. is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Nephrology, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 493 papers that have together received 15.6k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (82 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (70 papers), Gestational Diabetes Research and Management (67 papers), Metabolism, Diabetes, and Cancer (63 papers), Birth, Development, and Health (59 papers), Diabetes Management and Research (59 papers), Pancreatic function and diabetes (45 papers) and Diabetes and associated disorders (44 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.9k citations), Obstetrics and Gynecology (2.4k citations), Nephrology (1.0k citations), Pediatrics, Perinatology and Child Health (1.9k citations) and Cardiology and Cardiovascular Medicine (1.6k citations). Ronald C.W. has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Juliana C.N. Chan, Alice P.S. Kong, Xilin Yang, Wing‐Yee So, Chamukuttan Snehalatha, Ambady Ramachandran, Andrea O. Y. Luk, Risa Ozaki, Wing Hung Tam and Clive S. Cockram. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetes Care, Diabetes, Diabetologia and Diabetes/Metabolism Research and Reviews.

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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