Steven Zhou

35 papers receiving 4.9k citations

Hit Papers

Requirement for p53 and p21 to Sustain G 2 Arrest After DNA Damage 1998 · 2.5k citations
2.5k199820262007201650010001.5k2.0k

Peers

Steven Zhou
Comparison fields: 5 of 151
  • Oncology 1.7k
  • Modeling and Simulation 213
  • Cancer Research 576
  • Molecular Biology 2.6k
  • Cell Biology 426
Replace Chi‐Ying F. Huang with:
Chi‐Ying F. Huang Taiwan
Juan Wang China
Pornpimol Charoentong Austria
Xiaoyu Li China
Matthew H. Spitzer United States
Xiaosheng Wang China
Inna N. Lavrik Germany
Mei Liu China
Hubert Hackl Austria
Fuchu He China
Steven Zhou relative to Chi‐Ying F. Huang Taiwan Chi‐Ying F. Huang's profile →
Citations per field
00.5×3.4×
Chi‐Ying F. Huang · 1×
Citations per year

Countries citing papers authored by Steven Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Steven Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20239
3 20226
4 2021135
5 202162
6 2015114
7 201418
8 201418
9 201310
10 201327
11 201221
12 201181
13 201133
14 201074
15 2010389
16 2008168
17 200845
18 200489
19 199955
20 1990270

About Steven Zhou

Steven Zhou is a scholar working on Health Informatics, Anesthesiology and Pain Medicine, Modeling and Simulation, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 36 papers that have together received 5.0k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Cholesterol and Lipid Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Neonatal Respiratory Health Research (4 papers), Influenza Virus Research Studies (3 papers) and Anesthesia and Pain Management (3 papers). The work is most often cited by research in Oncology (1.7k citations), Modeling and Simulation (213 citations), Cancer Research (576 citations), Molecular Biology (2.6k citations) and Cell Biology (426 citations). Steven Zhou has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Annie Dutriaux, John M. Sedivy, Christoph Lengauer, Todd Waldman, Bert Vogelstein, Kenneth W. Kinzler, Fred Bunz, Jeremy Brown, Andrew Churg and James R. Wright. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, American Journal of Respiratory and Critical Care Medicine, Nature Communications, Journal of Lipid Research and Journal of Biological Chemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026