Haihui Sheng

2.5k total citations
51 papers, 1.1k citations indexed

About

Haihui Sheng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Haihui Sheng has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Haihui Sheng's work include Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (8 papers). Haihui Sheng is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (8 papers). Haihui Sheng collaborates with scholars based in China, United States and Germany. Haihui Sheng's co-authors include Hengjun Gao, Junxing Huang, Hong Yu, Chengzhi He, Kun Tao, Bensong Duan, Maosong Lin, Zhenhua Guo, Hongyu Yu and Yuemei Hu and has published in prestigious journals such as PLoS ONE, FEBS Letters and Medicine.

In The Last Decade

Haihui Sheng

51 papers receiving 1.1k citations

Peers

Haihui Sheng
Comparison fields: 5 of 94
  • Molecular Biology 727
  • Cancer Research 571
  • Oncology 178
  • Surgery 123
  • Cardiology and Cardiovascular Medicine 102
Replace Martin Mollenhauer with:
Martin Mollenhauer Germany
Victoria P. Tan Hong Kong
Hisataka Shikama Japan
Elisa Conde Spain
Valeria Pecce Italy
Se Young Jang South Korea
Martin Mollenhauer Germany View profile →
Citations per field, relative to Haihui Sheng
Haihui Sheng · 1×
Citations per year, relative to Haihui Sheng
Haihui Sheng · 1×

Countries citing papers authored by Haihui Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Haihui Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihui Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Haihui Sheng. A scholar is included among the top collaborators of Haihui Sheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haihui Sheng. Haihui Sheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 5
3 23
4 54
5 9
6 10
7 5
8 8
9 24
10
Utility of genetic variants to predict prognosis in coronary artery disease patients receiving statin treatment.
3
11 62
12 66
13
Expression and prognostic value of c-Myc and Fas (CD95/APO1) in patients with pancreatic cancer.
29
14
Expression of c-Myc and Fas correlates with perineural invasion of pancreatic cancer.
16
15 36
16 1
17 1
18
[Association of thiazide-sensitive Na+-Cl* cotransporter gene polymorphisms with the risk of essential hypertension].
2
19 54
20 13

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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