Heng Cui

1.5k citations
55 papers · 1.2k · h-index 18

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Ovarian cancer diagnosis and treatment

Papers in

Heng Cui

50 papers receiving 1.2k citations

Peers

Heng Cui
Comparison fields: 5 of 108
  • Immunology 291
  • Reproductive Medicine 89
  • Cancer Research 130
  • Oncology 233
  • Obstetrics and Gynecology 36
Replace Wenlong Jia with:
Wenlong Jia China
Hanyuan Liu China
Woo‐Young Sim South Korea
Laura E. Sidney United Kingdom
Serena Y. Tan United States
Qinghong Zhao China
In Sun Kim South Korea
Ana Cláudia Oliveira Carreira Brazil
Stuart Lanham United Kingdom
Rikke Bæk Denmark
Heng Cui relative to Wenlong Jia China Wenlong Jia's profile →
Citations per field
00.5×2×2.6×
Wenlong Jia · 1×
Citations per year

Countries citing papers authored by Heng Cui

Since Specialization
Citations

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

Fields of papers citing papers by Heng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994280
2 2023114
3 201488
4 201958
5 201853
6 202245
7 201243
8 201939
9 201938
10 201937
11 202436
12 201833
13
Tumor-derived exosomal circRNA051239 promotes proliferation and migration of epithelial ovarian cancer.
202130
14 201928
15 202326
16 201121
17 202420
18 200619
19 201218
20 202214

About Heng Cui

Heng Cui is a scholar working on Transportation, Obstetrics and Gynecology, Immunology, Reproductive Medicine and Molecular Biology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Urban Transport and Accessibility (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Cancer Cells and Metastasis (3 papers), Urban Green Space and Health (3 papers), High Temperature Alloys and Creep (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Microfluidic and Bio-sensing Technologies (2 papers). The work is most often cited by research in Immunology (291 citations), Reproductive Medicine (89 citations), Cancer Research (130 citations), Oncology (233 citations) and Obstetrics and Gynecology (36 citations). Heng Cui has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include Rachel Ettinger, Ann Marshak‐Rothstein, David J. Panka, Shishang Guo, Xiaohong Chang, Xue Ye, Lingling Zhang, Xingzhong Zhao, Ruiqiong Ma and Hongyan Cheng. Their work appears in journals such as Sustainability, Materials Characterization, Reproductive Biology, International Journal of Gynecological Cancer and Journal of Zhejiang University SCIENCE B.

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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