Jess D. Hebert
Impact in
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- Cancer Cells and Metastasis
Papers in
- Oncology 5
- Cancer Cells and Metastasis 3
-
- CRISPR and Genetic Engineering 4
- PI3K/AKT/mTOR signaling in cancer 2
- Pluripotent Stem Cells Research 1
- Co-authors
- Frank A. Suprynowicz (3 shared papers)Richard Schlegel (3 shared papers)Ewa Krawczyk (3 shared papers)Richard O. Hynes (4 shared papers)Monte M. Winslow (6 shared papers)Hang Yuan (1 shared paper)Scott H. Randell (1 shared paper)Sarah Krämer (1 shared paper)
- Journals
- Cancer Research (3 papers)Journal of Virology (2 papers)The Journal of Experimental Medicine (1 paper)Nature Aging (1 paper)Nature Biomedical Engineering (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Jess D. Hebert
14 papers receiving 618 citations
Peers
Comparison fields: 5 of 69
- Oncology 201
- Cancer Research 72
- Cell Biology 83
- Pulmonary and Respiratory Medicine 132
- Immunology 87
Countries citing papers authored by Jess D. Hebert
This map shows the geographic impact of Jess D. Hebert'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 Jess D. Hebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jess D. Hebert more than expected).
Fields of papers citing papers by Jess D. Hebert
This network shows the impact of papers produced by Jess D. Hebert. 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 Jess D. Hebert. The network helps show where Jess D. Hebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Jess D. Hebert, 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 | 2012 | 236 | |
| 2 | 2020 | 94 | |
| 3 | 2016 | 85 | |
| 4 | 2010 | 62 | |
| 5 | 2023 | 54 | |
| 6 | 2011 | 27 | |
| 7 | Macrophage-Secreted TNFα and TGFβ1 Influence Migration Speed and Persistence of Cancer Cells in 3D Tissue Culture via Independent Pathways | 2016 | 23 |
| 8 | 2023 | 20 | |
| 9 | 2020 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2025 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 0 |
About Jess D. Hebert
Jess D. Hebert is a scholar working on Oncology, Molecular Biology, Genetics, Immunology and Immunology and Allergy, having authored 15 papers that have together received 628 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Cancer Cells and Metastasis (3 papers), interferon and immune responses (2 papers), Virus-based gene therapy research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Genomics and Diagnostics (1 paper), Cell Adhesion Molecules Research (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Oncology (201 citations), Cancer Research (72 citations), Cell Biology (83 citations), Pulmonary and Respiratory Medicine (132 citations) and Immunology (87 citations). Jess D. Hebert has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Frank A. Suprynowicz, Richard Schlegel, Ewa Krawczyk, Richard O. Hynes, Monte M. Winslow, Hang Yuan, Scott H. Randell, Sarah Krämer, Geeta Upadhyay and Richard C. Boucher. Their work appears in journals such as Cancer Research, Journal of Virology, The Journal of Experimental Medicine, Nature Aging and Nature Biomedical Engineering.
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.