Peter Zhang

80 papers receiving 3.0k citations

Peers

Peter Zhang
Comparison fields: 5 of 136
  • Cancer Research 513
  • Pharmacology 442
  • Internal Medicine 76
  • Biological Psychiatry 52
  • Psychiatry and Mental health 258
Replace Aparna A. Kamat with:
Aparna A. Kamat United States
Diana Lüftner Germany
Antonio Sánchez Spain
Liz Y. Han United States
Oliver Heese Germany
Nathan A. Pennell United States
Alpa M. Nick United States
Juan Lin United States
István Kenessey Hungary
Lily Lu United States
Peter Zhang relative to Aparna A. Kamat United States Aparna A. Kamat's profile →
Citations per field
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Aparna A. Kamat · 1×
Citations per year

Countries citing papers authored by Peter Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Peter Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009352
2 2005326
3
Epidermal growth factor receptor-targeted therapy with C225 and cisplatin in patients with head and neck cancer.
2001251
4 2002202
5 2013187
6 2002171
7 2012166
8 2015148
9 2015139
10 200274
11 201071
12 201859
13 201855
14 200651
15 200951
16 201050
17 199848
18 199645
19 200532
20 200131

About Peter Zhang

Peter Zhang is a scholar working on Pharmacology, Molecular Biology, Surgery, Psychiatry and Mental health and Cardiology and Cardiovascular Medicine, having authored 82 papers that have together received 3.1k indexed citations. Recurring topics across this work include Treatment of Major Depression (16 papers), RNA Research and Splicing (6 papers), Schizophrenia research and treatment (6 papers), Peripheral Artery Disease Management (5 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Bipolar Disorder and Treatment (4 papers), Dermatologic Treatments and Research (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Cancer Research (513 citations), Pharmacology (442 citations), Internal Medicine (76 citations), Biological Psychiatry (52 citations) and Psychiatry and Mental health (258 citations). Peter Zhang has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include William P. Forbes, Mary Hobart, Paul D. Thompson, Aleksandar Skuban, Robert D. McQuade, Raymond Sanchez, William R. Hiatt, Michael E. Thase, Yandan Yao and Erwei Song. Their work appears in journals such as The Journal of Clinical Psychiatry, Frontiers in Immunology, BMC Genomics, Molecular Biology and Evolution and Current Medical Research and Opinion.

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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