Long Sui

1.4k citations
94 papers · 1k · h-index 19

Impact in

Papers in

Long Sui

82 papers receiving 1k citations

Peers

Long Sui
Comparison fields: 5 of 61
  • Obstetrics and Gynecology 234
  • Epidemiology 491
  • Cancer Research 88
  • Genetics 32
  • Pulmonary and Respiratory Medicine 81
Replace Patricia Paredes-Casillas with:
Patricia Paredes-Casillas Mexico
Rui Zhu China
Liyuan Yang China
Mamiko Onuki Japan
Qiong-Lan Tang China
Weibo Du China
Aurelia Busca Canada
Yoon Hee Lee South Korea
Long Sui relative to Patricia Paredes-Casillas Mexico Patricia Paredes-Casillas's profile →
Citations per field
00.5×20×40×60.7×
Patricia Paredes-Casillas · 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 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016103
2 201165
3 202253
4 202141
5 201533
6 202133
7 201732
8 201832
9
Smad signaling coincides with epithelial-mesenchymal transition in a rat model of intrauterine adhesion.
201931
10 201430
11 202028
12 202228
13 201826
14 202326
15 201125
16
Fertility-conservation combined therapy with hysteroscopic resection and oral progesterone for local early stage endometrial carcinoma in young women.
201524
17 201821
18
Transplantation of menstrual blood-derived mesenchymal stem cells (MbMSCs) promotes the regeneration of mechanical injuried endometrium.
202021
19 202221
20 201817

About Long Sui

Long Sui is a scholar working on Epidemiology, Obstetrics and Gynecology, Cancer Research, Surgery and Immunology, having authored 94 papers that have together received 1k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (62 papers), Gynecological conditions and treatments (12 papers), Endometrial and Cervical Cancer Treatments (7 papers), Genital Health and Disease (5 papers), Immune Response and Inflammation (4 papers), Photodynamic Therapy Research Studies (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Reproductive Health and Contraception (2 papers). The work is most often cited by research in Obstetrics and Gynecology (234 citations), Epidemiology (491 citations), Cancer Research (88 citations), Genetics (32 citations) and Pulmonary and Respiratory Medicine (81 citations). Long Sui has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Hongwei Zhang, Feng Xie, Qing Cong, Li‐Mei Chen, Boning Li, Shujun Gao, Yu Min Song, Luopei Guo, Qisang Guo and Xianrong Zhou. Their work appears in journals such as Frontiers in Oncology, International Journal of Gynecological Cancer, Journal of Medical Virology, Journal of Lower Genital Tract Disease 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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