Sheng‐Fu Wang

641 total citations
14 papers, 459 citations indexed

About

Sheng‐Fu Wang is a scholar working on Surgery, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Sheng‐Fu Wang has authored 14 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Sheng‐Fu Wang's work include Neurobiology and Insect Physiology Research (5 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Liver Disease and Transplantation (2 papers). Sheng‐Fu Wang is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Liver Disease and Transplantation (2 papers). Sheng‐Fu Wang collaborates with scholars based in Taiwan, United States and Italy. Sheng‐Fu Wang's co-authors include Alexander S. Raikhel, David Martı́n, Guoqiang Sun, Jinsong Zhu, Neal T. Dittmer, Vladimir Kokoza, Geoffrey M. Attardo, Chao Li, Stephen W. Ayer and William A. Segraves and has published in prestigious journals such as Molecular and Cellular Biology, World Journal of Gastroenterology and Molecular and Cellular Endocrinology.

In The Last Decade

Sheng‐Fu Wang

12 papers receiving 455 citations

Peers

Sheng‐Fu Wang
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 257
  • Insect Science 200
  • Molecular Biology 146
  • Immunology 112
  • Genetics 110
Replace M. Rubio with:
M. Rubio Spain
Alessandro Bonfini United States
Akihiro Fukunaga Japan
Yoshinori Nishita Japan
Julieta A. Maldera Argentina
Chloe Goldman United States
Hemant Gujar United States
Ruigong Wang Sweden
Orion Despo United States
Don B. Destephano United States
M. Rubio Spain View profile →
Citations per field, relative to Sheng‐Fu Wang
Sheng‐Fu Wang · 1×
Citations per year, relative to Sheng‐Fu Wang
Sheng‐Fu Wang · 1×

Countries citing papers authored by Sheng‐Fu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Fu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng‐Fu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Fu Wang. A scholar is included among the top collaborators of Sheng‐Fu Wang 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 Sheng‐Fu Wang. Sheng‐Fu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 1
5 1
6 2
7
Alpha-fetoprotein response at different time-points is associated with efficacy of nivolumab monotherapy for unresectable hepatocellular carcinoma.
18
8 9
9 9
10 178
11 40
12 126
13 48
14
Urinary tract infection in infants less than 2 months of age.
26

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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