Paul J. Zhang

12.7k citations
215 papers · 8.5k indexed · 2 hit papers · h-index 50

Paul J. Zhang

210 papers receiving 8.3k citations

Hit Papers

Clinical Diagnosis and Management of Breast Cancer4112016202620192022100200300400

Peers

Paul J. Zhang
Comparison fields: 5 of 169
  • Oncology 3.5k
  • Cancer Research 1.7k
  • Pathology and Forensic Medicine 1.2k
  • Dermatology 589
  • Genetics 660
Replace Thomas Decker with:
Thomas Decker Germany
Zoran Gatalica United States
Mattia Barbareschi Italy
Renato Franco Italy
Jahn M. Nesland Norway
Anna Sapino Italy
Sunil Badve United States
Ruth L. Katz United States
Michael T. Deavers United States
Robert L. Yauch United States
Paul J. Zhang relative to Thomas Decker Germany Thomas Decker's profile →
Citations per field
00.5×1.5×1.8×
Thomas Decker · 1×
Citations per year

Countries citing papers authored by Paul J. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Paul J. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20240
4 20241
5 20230
6 202112
7 20184
8 201813
9 20184
10 20186
11 20177
12 2016152
13 2016117
14 20166
15 201615
16 2014280
17 201195
18
Case report: glomus tumor of the colon.
20058
19
Detection of hypoxia in human squamous cell carcinoma by EF5 binding.
2000161
20 1998219

About Paul J. Zhang

Paul J. Zhang is a scholar working on Oncology, Dermatology and Cancer Research, having authored 215 papers that have together received 8.5k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (25 papers), Immunotherapy and Immune Responses (20 papers), Breast Cancer Treatment Studies (17 papers), Cancer and Skin Lesions (15 papers), Breast Lesions and Carcinomas (14 papers), Vascular Tumors and Angiosarcomas (14 papers), HER2/EGFR in Cancer Research (14 papers) and Lymphoma Diagnosis and Treatment (12 papers). The work is most often cited by research in Oncology (3.5k citations), Cancer Research (1.7k citations) and Pathology and Forensic Medicine (1.2k citations). Paul J. Zhang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Géza Ács, Theresa L. Pasha, Julia Tchou, Virginia A. LiVolsi, Zoltán Gombos, Amy S. Clark, Xiaowei Xu, Elizabeth S. McDonald, Gary M. Freedman and Timothy R. Rebbeck. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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