W. Zhang
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
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- Colorectal Cancer Treatments and Studies
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 14
- Colorectal Cancer Treatments and Studies 10
- Cancer Treatment and Pharmacology 3
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- Lung Cancer Treatments and Mutations 4
- Gastric Cancer Management and Outcomes 4
- Co-authors
- Dongyun Yang (13 shared papers)Heinz‐Josef Lenz (11 shared papers)Frank LaCreta (2 shared papers)Marc Pfister (2 shared papers)Sreeneeranj Kasichayanula (2 shared papers)Xuejun Liu (2 shared papers)David W. Boulton (2 shared papers)Anthony B. El-Khoueiry (6 shared papers)
- Journals
- Annals of Oncology (7 papers)Journal of Clinical Oncology (6 papers)Diabetes Obesity and Metabolism (2 papers)The Pharmacogenomics Journal (2 papers)Investigational New Drugs (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
W. Zhang
18 papers receiving 350 citations
Peers
Comparison fields: 5 of 60
- Endocrinology, Diabetes and Metabolism 113
- Oncology 153
- Cancer Research 68
- Molecular Biology 165
- Surgery 95
Countries citing papers authored by W. Zhang
This map shows the geographic impact of W. 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 W. Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Zhang more than expected).
Fields of papers citing papers by W. Zhang
This network shows the impact of papers produced by W. 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 W. Zhang. The network helps show where W. Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside W. Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 76 | |
| 2 | 2009 | 47 | |
| 3 | 2015 | 41 | |
| 4 | 2011 | 39 | |
| 5 | 2011 | 38 | |
| 6 | 2017 | 29 | |
| 7 | 2014 | 28 | |
| 8 | 2013 | 16 | |
| 9 | 2015 | 12 | |
| 10 | 2011 | 10 | |
| 11 | 2015 | 9 | |
| 12 | 2009 | 5 | |
| 13 | 2007 | 3 | |
| 14 | 2011 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 2009 | 1 | |
| 18 | 2011 | 1 |
About W. Zhang
W. Zhang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Cancer Research, having authored 18 papers that have together received 359 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (10 papers), Lung Cancer Treatments and Mutations (4 papers), Gastric Cancer Management and Outcomes (4 papers), Cancer Treatment and Pharmacology (3 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic function and diabetes (2 papers), Genetic factors in colorectal cancer (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (113 citations), Oncology (153 citations), Cancer Research (68 citations), Molecular Biology (165 citations) and Surgery (95 citations). W. Zhang has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Dongyun Yang, Heinz‐Josef Lenz, Frank LaCreta, Marc Pfister, Sreeneeranj Kasichayanula, Xuejun Liu, David W. Boulton, Anthony B. El-Khoueiry, Steven C. Griffen and T. Li. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Diabetes Obesity and Metabolism, The Pharmacogenomics Journal and Investigational New Drugs.
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.