Ling Cui

400 citations
21 papers · 327 · h-index 9

Impact in

Papers in

Ling Cui

17 papers receiving 324 citations

Peers

Ling Cui
Comparison fields: 5 of 62
  • Obstetrics and Gynecology 56
  • Cancer Research 47
  • Psychiatry and Mental health 37
  • Oncology 55
  • Reproductive Medicine 16
Replace Daiva Dabkevičienė with:
Daiva Dabkevičienė Lithuania
P. Syrjälä Finland
Changjun Zheng China
Shuai Shen China
Shouzhen Chen China
Xiaodi Gong China
Merve Denizli United States
F Zhang China
Sijia Chen China
Peiwei Zhao China
Ling Cui relative to Daiva Dabkevičienė Lithuania Daiva Dabkevičienė's profile →
Citations per field
00.5×4.1×
Daiva Dabkevičienė · 1×
Citations per year

Countries citing papers authored by Ling Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ling Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Elevated cleaved caspase-3 is associated with shortened overall survival in several cancer types.
201484
2 201356
3 201546
4 201830
5
Lin28B is a novel prognostic marker in gastric adenocarcinoma.
201429
6 201925
7 202314
8 202211
9 202411
10 20217
11
[Evidence of perineural invasion on early-stage cervical cancer and prognostic significance].
20154
12 20023
13 20232
14 20172
15 20191
16 20231
17 20061
18 20250
19 20260
20 20160

About Ling Cui

Ling Cui is a scholar working on Molecular Biology, Oncology, Obstetrics and Gynecology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 327 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (3 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Recycling and Waste Management Techniques (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper), Ubiquitin and proteasome pathways (1 paper) and Polymer crystallization and properties (1 paper). The work is most often cited by research in Obstetrics and Gynecology (56 citations), Cancer Research (47 citations), Psychiatry and Mental health (37 citations), Oncology (55 citations) and Reproductive Medicine (16 citations). Ling Cui has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yu Shi, Shanling Liu, Weiping Liu, Xinlian Chen, He Wang, Qian Hu, Xiaoli He, Hongqian Liu, Mei Yang and Jing Peng. Their work appears in journals such as Hormone and Metabolic Research, Diagnostic Pathology, Frontiers in Immunology, Annals of Translational Medicine and Fuel.

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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