S.F. Yim

656 citations
20 papers · 525 · h-index 11

Impact in

    • Endometrial and Cervical Cancer Treatments
    • Uterine Myomas and Treatments
    • Gynecological conditions and treatments
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

S.F. Yim

20 papers receiving 517 citations

Peers

S.F. Yim
Comparison fields: 5 of 65
  • Obstetrics and Gynecology 120
  • Cancer Research 136
  • Reproductive Medicine 70
  • Oncology 77
  • Molecular Biology 203
Replace Bingying Xie with:
Bingying Xie China
Ya Xie China
Chengcheng Ning China
Yoshiteru Terashima Japan
Chloe Karpinskyj United Kingdom
R.J. Zaino United States
Radosław Charkiewicz Poland
Salah T. Fayed Egypt
Anthony C. Evans United States
Yincheng Teng China
S.F. Yim relative to Bingying Xie China Bingying Xie's profile →
Citations per field
00.5×11.5×
Bingying Xie · 1×
Citations per year

Countries citing papers authored by S.F. Yim

Since Specialization
Citations

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

Fields of papers citing papers by S.F. Yim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2011156
2 200699
3 199737
4 200235
5 200635
6 200233
7 200333
8 199826
9 200121
10 200117
11 200110
12 20027
13 20245
14 20044
15 20252
16 20081
17
MicroRNAs as potential targets for prevention and treatment of endometrial cancer.
20061
18
Is aortic lymphadenectomy necessary in the management of endometrial carcinoma?
20071
19 20251
20
Potential molecular markers and therapeutic targets of endometrial cancer in Hong Kong women
20081

About S.F. Yim

S.F. Yim is a scholar working on Molecular Biology, Cancer Research, Obstetrics and Gynecology, Reproductive Medicine and Oncology, having authored 20 papers that have together received 525 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), Estrogen and related hormone effects (2 papers), Uterine Myomas and Treatments (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Obstetrics and Gynecology (120 citations), Cancer Research (136 citations), Reproductive Medicine (70 citations), Oncology (77 citations) and Molecular Biology (203 citations). S.F. Yim has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Tony K.H. Chung, Tak Hong Cheung, Y.F. Wong, Kwok Wai Lo, Mengmeng Yu, Jeremy C. Smith, Nelson S.S. Siu, Keith W.K. Lo, C.J. Haines and Daljit Singh Sahota. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Cancer Letters, Cancer Prevention Research and Neurology.

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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