Cong Sui

615 citations
28 papers · 400 · h-index 12

Impact in

Papers in

Cong Sui

27 papers receiving 398 citations

Peers

Cong Sui
Comparison fields: 5 of 66
  • Reproductive Medicine 100
  • Obstetrics and Gynecology 63
  • Cancer Research 108
  • Immunology 124
  • Rheumatology 64
Replace José L. San‐Millán with:
José L. San‐Millán Spain
T.M. Mignot France
Canqiao Luo China
Cecilia Catellani Italy
Tim Cordes Germany
Gülçı̇n Şahin Ersoy Türkiye
Xinbo Zhao China
Yuchao Zhang China
Bryony V. Natale Canada
Leonardo M. Porchia Mexico
Cong Sui relative to José L. San‐Millán Spain José L. San‐Millán's profile →
Citations per field
00.5×4.9×
José L. San‐Millán · 1×
Citations per year

Countries citing papers authored by Cong Sui

Since Specialization
Citations

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

Fields of papers citing papers by Cong Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202252
2 201845
3
MicroRNA-223-3p suppresses leukemia inhibitory factor expression and pinopodes formation during embryo implantation in mice.
201639
4 202232
5 202132
6
MiR-223 suppresses endometrial carcinoma cells proliferation by targeting IGF-1R.
201431
7 202224
8 201923
9 202221
10 202215
11 201915
12 201612
13 20198
14 20128
15 20227
16 20207
17 20176
18 20235
19 20233
20
P57 and cyclin G1 express differentially in proliferative phase endometrium and early pregnancy decidua.
20153

About Cong Sui

Cong Sui is a scholar working on Rheumatology, Immunology, Reproductive Medicine, Molecular Biology and Obstetrics and Gynecology, having authored 28 papers that have together received 400 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (8 papers), Reproductive System and Pregnancy (7 papers), Genetic Associations and Epidemiology (5 papers), Endometriosis Research and Treatment (5 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (3 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Reproductive Medicine (100 citations), Obstetrics and Gynecology (63 citations), Cancer Research (108 citations), Immunology (124 citations) and Rheumatology (64 citations). Cong Sui has collaborated with scholars based in China, Australia and Kenya. Frequent co-authors include Jing Ni, Xiyuan Dong, Kang-Jia Yin, Kai Huang, Han Cen, Yang Xun, Yudi Geng, Dan Hu, Hanwang Zhang and Qiaohong Lai. Their work appears in journals such as Frontiers in Endocrinology, Frontiers in Cell and Developmental Biology, Frontiers in Immunology, Environmental Science and Pollution Research and Seminars in Arthritis and Rheumatism.

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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