Leping Wan

33 papers receiving 720 citations

Peers

Leping Wan
Comparison fields: 5 of 88
  • Radiation 124
  • Obstetrics and Gynecology 53
  • Oncology 142
  • Endocrine and Autonomic Systems 29
  • Pulmonary and Respiratory Medicine 117
Replace P. Giraud with:
P. Giraud France
Nadia Salvo Canada
Alastair Munro United Kingdom
Stephen Mangar United Kingdom
Willem Oosterlinck Belgium
Ameda A. Manetta United States
Lisa Singer United States
Simone S.M. Ho Hong Kong
Rebecca M.W. Yeung China
Georgios Hatzichristodoulou Germany
Leping Wan relative to P. Giraud France P. Giraud's profile →
Citations per field
00.5×10×15×17.7×
P. Giraud · 1×
Citations per year

Countries citing papers authored by Leping Wan

Since Specialization
Citations

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

Fields of papers citing papers by Leping Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leping Wan. 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 Leping Wan. The network helps show where Leping Wan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019247
2 201989
3 201780
4 201751
5 201839
6 201937
7 201225
8 201821
9 202214
10 201913
11 202412
12 201810
13 201810
14 202010
15 20209
16 20188
17 20197
18 20177
19 20226
20 20245

About Leping Wan

Leping Wan is a scholar working on Obstetrics and Gynecology, Surgery, Epidemiology, Public Health, Environmental and Occupational Health and Pharmacology, having authored 34 papers that have together received 734 indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (3 papers), Reproductive Health and Contraception (3 papers), Cervical Cancer and HPV Research (2 papers), Cardiac Arrest and Resuscitation (2 papers), Emergency and Acute Care Studies (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Chronic Disease Management Strategies (2 papers) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Radiation (124 citations), Obstetrics and Gynecology (53 citations), Oncology (142 citations), Endocrine and Autonomic Systems (29 citations) and Pulmonary and Respiratory Medicine (117 citations). Leping Wan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Colleen McNicholas, Jeffrey F. Peipert, Michael Roach, Soumon Rudra, Naomi Jiang, Eric A. Mellon, Percy P. Lee, Frank J. Lagerwaard, M. Bassetti and Stephen A. Rosenberg. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Frontiers in Public Health, Gynecologic Oncology, Journal of the American College of Surgeons and Obstetrical & Gynecological Survey.

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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