Long Sui

1.4k citations
89 papers · 840 indexed · h-index 17

Impact in

Papers in

    • Cervical Cancer and HPV Research 42
    • Endometrial and Cervical Cancer Treatments 17
    • Gynecological conditions and treatments 17
    • Uterine Myomas and Treatments 14

Long Sui

80 papers receiving 830 citations

Peers

Long Sui
Comparison fields: 5 of 90
  • Obstetrics and Gynecology 258
  • Reproductive Medicine 86
  • Cancer Research 142
  • Epidemiology 262
  • Microbiology 34
Replace Evanthia Kostopoulou with:
Evanthia Kostopoulou Greece
Janeli Viil Estonia
Masatoshi Sakai Japan
Xiaoxu Chen China
Na Di China
Yumei Wu China
Dan Lü China
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Long Sui relative to Evanthia Kostopoulou Greece Evanthia Kostopoulou's profile →
Citations per field
00.5×10×14×
Evanthia Kostopoulou · 1×
Citations per year

Countries citing papers authored by Long Sui

Since Specialization
Citations

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

Fields of papers citing papers by Long Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201693
2 201158
3 202349
4 202433
5 202132
6 201532
7
Smad signaling coincides with epithelial-mesenchymal transition in a rat model of intrauterine adhesion.
201931
8 201830
9 201729
10 201428
11 201124
12 202223
13 202022
14
Transplantation of menstrual blood-derived mesenchymal stem cells (MbMSCs) promotes the regeneration of mechanical injuried endometrium.
202021
15 202219
16 202319
17 201817
18 202415
19 201914
20 201712

About Long Sui

Long Sui is a scholar working on Epidemiology, Obstetrics and Gynecology, Surgery, Cancer Research and Oncology, having authored 89 papers that have together received 840 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (42 papers), Endometrial and Cervical Cancer Treatments (17 papers), Gynecological conditions and treatments (17 papers), Uterine Myomas and Treatments (14 papers), Genital Health and Disease (10 papers), Endometriosis Research and Treatment (6 papers), Reproductive tract infections research (6 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Obstetrics and Gynecology (258 citations), Reproductive Medicine (86 citations), Cancer Research (142 citations), Epidemiology (262 citations) and Microbiology (34 citations). Long Sui has collaborated with scholars based in China, United States and Kazakhstan. Frequent co-authors include Feng Xie, Boning Li, Hongwei Zhang, Li‐Mei Chen, Qing Wang, Shujun Gao, Hua Feng, Qisang Guo, Qing Cong and Luopei Guo. Their work appears in journals such as International Journal of Gynecological Cancer, Journal of Medical Virology, Frontiers in Oncology, Chemical Engineering Journal and Cancer Management and Research.

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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