Shengbing Huang

7.6k total citations · 1 hit paper
39 papers, 2.9k citations indexed

About

Shengbing Huang is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Shengbing Huang has authored 39 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Oncology and 12 papers in Epidemiology. Recurrent topics in Shengbing Huang's work include Autophagy in Disease and Therapy (12 papers), Cell death mechanisms and regulation (9 papers) and Cancer-related Molecular Pathways (7 papers). Shengbing Huang is often cited by papers focused on Autophagy in Disease and Therapy (12 papers), Cell death mechanisms and regulation (9 papers) and Cancer-related Molecular Pathways (7 papers). Shengbing Huang collaborates with scholars based in United States, China and Germany. Shengbing Huang's co-authors include Frank A. Sinicrope, Zhineng J. Yang, Cheng Ean Chee, Jae Myung Park, Kenji Okumura, Zhiguo Zhang, Hui Zhou, Chunrong Yu, Koichi Okamoto and Hisato Kawakami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Shengbing Huang

38 papers receiving 2.9k citations

Hit Papers

The Role of Autophagy in Cancer: Therapeutic Implications 2011 2026 2016 2021 2011 250 500 750 1000

Peers

Shengbing Huang
Comparison fields: 5 of 125
  • Molecular Biology 1.9k
  • Epidemiology 1.2k
  • Oncology 567
  • Cancer Research 447
  • Cell Biology 271
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Olivier Geneste France View profile →
Citations per field, relative to Shengbing Huang
Shengbing Huang · 1×
Citations per year, relative to Shengbing Huang
Shengbing Huang · 1×

Countries citing papers authored by Shengbing Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shengbing Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengbing Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengbing Huang. A scholar is included among the top collaborators of Shengbing Huang 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 Shengbing Huang. Shengbing Huang 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 8
2 9
3
RGS4 Regulates Proliferation And Apoptosis Of NSCLC Cells Via microRNA-16 And Brain-Derived Neurotrophic Factor
0
4 22
5 32
6 1
7 48
8 61
9 129
10 90
11 1
12 68
13 73
14 117
15 114
16 86
17 103
18 74
19 63
20 19

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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