Jonathan W. Simons
- Cancer Research top 0.1%
- Cancer, Hypoxia, and Metabolism 27
- Cancer, Lipids, and Metabolism 13
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers 9
- Molecular Biology top 0.5%
- RNA Interference and Gene Delivery 8
- Immunology top 0.5%
- Immunotherapy and Immune Responses 20
- Genetics top 0.5%
- Virus-based gene therapy research 15
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- Prostate Cancer Treatment and Research 31
- Prostate Cancer Diagnosis and Treatment 9
- Co-authors
- Gregg L. SemenzaHua ZhongErik LaughnerShuming NieDavid ZagzagAngelo M. De MarzoColleen F. HanrahanYun Xing
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Jonathan W. Simons
116 papers receiving 17.4k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Cancer Research 6.1k
- Oncology 4.9k
- Molecular Biology 9.4k
- Immunology 2.5k
- Genetics 2.8k
Countries citing papers authored by Jonathan W. Simons
This map shows the geographic impact of Jonathan W. Simons'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 Jonathan W. Simons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan W. Simons more than expected).
Fields of papers citing papers by Jonathan W. Simons
This network shows the impact of papers produced by Jonathan W. Simons. 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 Jonathan W. Simons. The network helps show where Jonathan W. Simons may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan W. Simons, 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 | 2019 | 30 | |
| 2 | 2018 | 12 | |
| 3 | 2017 | 10 | |
| 4 | 2013 | 18 | |
| 5 | 2010 | 1 | |
| 6 | 2009 | 2 | |
| 7 | IGF-I-dependent upregulation of ZEB1 expression drives EMT in human prostate cancer cells in vitro | 2008 | 1 |
| 8 | 2007 | 3 | |
| 9 | CEIP Maps: Context-embedded Information Product Maps | 2007 | 6 |
| 10 | 2006 | 53 | |
| 11 | 2005 | 121 | |
| 12 | 2004 | 34 | |
| 13 | 2004 | 44 | |
| 14 | 2002 | 35 | |
| 15 | Levels of Hypoxia-Inducible Factor-1 During Breast Carcinogenesisbreakdown → | 2001 | 508 |
| 16 | 2000 | 62 | |
| 17 | 1999 | 6 | |
| 18 | Phenylbutyrate induces apoptosis in human prostate cancer and is more potent than phenylacetate. | 1996 | 133 |
| 19 | 1996 | 5 | |
| 20 | 1980 | 3 |
About Jonathan W. Simons
Jonathan W. Simons is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 116 papers that have together received 17.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (31 papers), Cancer, Hypoxia, and Metabolism (27 papers), Immunotherapy and Immune Responses (20 papers), Virus-based gene therapy research (15 papers), Cancer, Lipids, and Metabolism (13 papers), Prostate Cancer Diagnosis and Treatment (9 papers), Cancer Immunotherapy and Biomarkers (9 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Cancer Research (6.1k citations), Oncology (4.9k citations) and Molecular Biology (9.4k citations). Jonathan W. Simons has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Gregg L. Semenza, Hua Zhong, Erik Laughner, Shuming Nie, David Zagzag, Angelo M. De Marzo, Hua Zhong, Colleen F. Hanrahan, Yun Xing and Fray F. Marshall. Their work appears in journals such as The Prostate, Urology, Cancer Research, Cancer and Journal of Clinical Oncology.
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.