Jennifer E. Howes
Impact in
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- Lymphoma Diagnosis and Treatment
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions
Papers in
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- Protein Kinase Regulation and GTPase Signaling 4
- PI3K/AKT/mTOR signaling in cancer 4
- Protein Tyrosine Phosphatases 2
- Heat shock proteins research 1
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- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Roberto Piva (2 shared papers)Giorgio Inghirami (2 shared papers)Roberto Chiarle (2 shared papers)Marco Chilosi (1 shared paper)Alberto Zamò (1 shared paper)David E. Levy (1 shared paper)Yan Fan (1 shared paper)Peter H. Custis (1 shared paper)
- Journals
- ACS Chemical Biology (1 paper)Molecular Cancer Therapeutics (1 paper)Analytical Biochemistry (1 paper)Oncogene (1 paper)Blood (1 paper)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Jennifer E. Howes
11 papers receiving 839 citations
Peers
Comparison fields: 5 of 63
- Pathology and Forensic Medicine 276
- Oncology 275
- Ophthalmology 68
- Immunology 152
- Cell Biology 115
Countries citing papers authored by Jennifer E. Howes
This map shows the geographic impact of Jennifer E. Howes'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 Jennifer E. Howes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer E. Howes more than expected).
Fields of papers citing papers by Jennifer E. Howes
This network shows the impact of papers produced by Jennifer E. Howes. 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 Jennifer E. Howes. The network helps show where Jennifer E. Howes may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer E. Howes, 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 | 2002 | 317 | |
| 2 | 2003 | 201 | |
| 3 | 2008 | 117 | |
| 4 | 2009 | 80 | |
| 5 | 2018 | 37 | |
| 6 | 2018 | 32 | |
| 7 | 2018 | 31 | |
| 8 | 2012 | 29 | |
| 9 | 2018 | 22 | |
| 10 | 2019 | 13 | |
| 11 | 2014 | 1 |
About Jennifer E. Howes
Jennifer E. Howes is a scholar working on Molecular Biology, Cell Biology, Pathology and Forensic Medicine, Oncology and Immunology, having authored 11 papers that have together received 880 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Protein Tyrosine Phosphatases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Retinal Diseases and Treatments (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (276 citations), Oncology (275 citations), Ophthalmology (68 citations), Immunology (152 citations) and Cell Biology (115 citations). Jennifer E. Howes has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Roberto Piva, Giorgio Inghirami, Roberto Chiarle, Marco Chilosi, Alberto Zamò, David E. Levy, Yan Fan, Peter H. Custis, Jin–Wen Y. Hsu and Donald S. Fong. Their work appears in journals such as ACS Chemical Biology, Molecular Cancer Therapeutics, Analytical Biochemistry, Oncogene and Blood.
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.