Jess D. Hebert

799 citations
13 papers · 564 · h-index 9

Impact in

Papers in

    • CRISPR and Genetic Engineering 4
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cancer Cells and Metastasis 3

Jess D. Hebert

11 papers receiving 559 citations

Peers

Jess D. Hebert
Comparison fields: 5 of 70
  • Oncology 190
  • Cell Biology 81
  • Cancer Research 73
  • Immunology 90
  • Pulmonary and Respiratory Medicine 136
Replace Hisashi Yoshimura with:
Hisashi Yoshimura Japan
Joshua W. Collins United States
Lorena Hernandez United States
Semjon Willier Germany
Balint Otvos United States
Seiko Yamada Japan
John G. Facciponte United States
Michael A. Perricone United States
Émilie Louvet France
Jess D. Hebert relative to Hisashi Yoshimura Japan Hisashi Yoshimura's profile →
Citations per field
00.5×1.5×1.8×
Hisashi Yoshimura · 1×
Citations per year

Countries citing papers authored by Jess D. Hebert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jess D. Hebert Line = papers co-authored together Jess D. Hebert links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2012215
2 202090
3 201678
4 201060
5 202344
6 201126
7
Macrophage-Secreted TNFα and TGFβ1 Influence Migration Speed and Persistence of Cancer Cells in 3D Tissue Culture via Independent Pathways
201622
8 202316
9 20209
10 20252
11 20252
12 20240
13 20250

About Jess D. Hebert

Jess D. Hebert is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Surgery, having authored 13 papers that have together received 564 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), Cervical Cancer and HPV Research (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Oncology (190 citations), Cell Biology (81 citations), Cancer Research (73 citations), Immunology (90 citations) and Pulmonary and Respiratory Medicine (136 citations). Jess D. Hebert has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Ewa Krawczyk, Frank A. Suprynowicz, Richard Schlegel, Richard O. Hynes, Phillip W. Clapp, Geeta Upadhyay, Sarah Krämer, Scott H. Randell, Richard C. Boucher and Chaitra Cheluvaraju. Their work appears in journals such as Journal of Virology, Cancer Research, Nature Biomedical Engineering, Scientific Reports and Nature reviews. Cancer.

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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