Shouhao Zhou

12.9k citations
162 papers · 7.9k indexed · 8 hit papers · h-index 31
Topics
Radiomics and Machine Learning in Medical Imaging (16 papers)Lymphoma Diagnosis and Treatment (15 papers)Glioma Diagnosis and Treatment (14 papers)

In The Last Decade

Shouhao Zhou

142 papers receiving 7.8k citations

Hit Papers

Trends in the Incidence, Prevalence, and Survival Outcome...20152026201820222017201920192015201750010001.5k2.0k

Peers

Shouhao Zhou
Comparison fields: 5 of 143
  • Oncology 4.5k
  • Epidemiology 2.8k
  • Neurology 1.8k
  • Pulmonary and Respiratory Medicine 1.3k
  • Genetics 1.1k
Replace Vittorina Zagonel with:
Vittorina Zagonel Italy
Electron Kebebew United States
Seok Jin Kim South Korea
Anthony J. Gill Australia
Umberto Ricardi Italy
Jonathan W. Friedberg United States
Catherine Thiéblemont France
Michael Crump Canada
Bronno van der Holt Netherlands
Séamus O’Reilly Ireland
Shouhao Zhou relative to Vittorina Zagonel Italy Vittorina Zagonel's profile →
Citations per field
00.5×3.5×
Vittorina Zagonel · 1×
Citations per year

Countries citing papers authored by Shouhao Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shouhao Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouhao Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shouhao Zhou. A scholar is included among the top collaborators of Shouhao Zhou 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 Shouhao Zhou. Shouhao Zhou 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
#WorkIndexed citations
1 2
2 0
3 0
4 0
5 2
6 1
7 1
8 1
9 8
10 13
11 3
12 8
13 5
14 73
15 5
16 3
17 63
18 13
19 72
20 30

About Shouhao Zhou

Shouhao Zhou is a scholar working on Genetics, Oncology and Rehabilitation, having authored 162 papers that have together received 7.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), Lymphoma Diagnosis and Treatment (15 papers) and Glioma Diagnosis and Treatment (14 papers). The work is most often cited by research in Oncology (4.5k citations), Neurology (1.8k citations) and Genetics (1.1k citations). Shouhao Zhou has collaborated with scholars based in United States, China and Myanmar. Frequent co-authors include Chan Shen, Ya‐Chen Tina Shih, Arvind Dasari, James C. Yao, Daniel M. Halperin, Ying Xu, Bo Zhao, Amy B. Heimberger, Kathleen M. Sturgeon and Daniel M. Trifiletti. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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