Sun‐Wei Guo

18.4k citations
244 papers · 13.7k indexed · 3 hit papers · h-index 53

Sun‐Wei Guo

237 papers receiving 13.3k citations

Hit Papers

Diagnosing ad...248199220262003201410002.0k3.0k4.0k

Peers

Sun‐Wei Guo
Comparison fields: 5 of 171
  • Reproductive Medicine 7.6k
  • Obstetrics and Gynecology 5.8k
  • Immunology 4.3k
  • Genetics 4.0k
  • Nature and Landscape Conservation 706
Replace Daniel Vaiman with:
Daniel Vaiman France
Christopher R. Murphy Australia
Allen C. Enders United States
David L. Hess United States
S.A. Miller United States
Alan S. McNeilly United Kingdom
Moira K. O’Bryan Australia
Herbert F. Polesky United States
Dale D. Dykes United States
Erik Wilander Sweden
Sun‐Wei Guo relative to Daniel Vaiman France Daniel Vaiman's profile →
Citations per field
00.5×5.2×
Daniel Vaiman · 1×
Citations per year

Countries citing papers authored by Sun‐Wei Guo

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Wei Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Wei Guo. 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 Sun‐Wei Guo. The network helps show where Sun‐Wei Guo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20258
3 20241
4 20241
5 20240
6 20247
7 20247
8 20238
9 20231
10 202320
11 20236
12 202314
13 202311
14 20226
15
Diagnosing adenomyosis: an integrated clinical and imaging approachbreakdown →
2020248
16 201924
17 2017221
18 200970
19 2007192
20 200543

About Sun‐Wei Guo

Sun‐Wei Guo is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Immunology, having authored 244 papers that have together received 13.7k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (199 papers), Uterine Myomas and Treatments (109 papers), Reproductive System and Pregnancy (81 papers), Endometrial and Cervical Cancer Treatments (70 papers), Gynecological conditions and treatments (24 papers), Estrogen and related hormone effects (23 papers), Ovarian cancer diagnosis and treatment (13 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (13 papers). The work is most often cited by research in Reproductive Medicine (7.6k citations), Obstetrics and Gynecology (5.8k citations) and Immunology (4.3k citations). Sun‐Wei Guo has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Elizabeth A. Thompson, Xishi Liu, Yan Wu, Zainab Basir, Estil Strawn, Gloria Halverson, Ding Ding, Yuedong Wang, Qi Zhang and Jichan Nie. Their work appears in journals such as Reproductive Sciences, Fertility and Sterility, Human Reproduction, Gynecologic and Obstetric Investigation and Reproductive BioMedicine Online.

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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