Jeff E. Habel
Impact in
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- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
Papers in
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- Melanoma and MAPK Pathways 4
- Cancer therapeutics and mechanisms 2
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- Enzyme Structure and Function 3
- Co-authors
- Julie M. Caldwell (3 shared papers)Marc E. Rothenberg (3 shared papers)Michael Brusilovsky (3 shared papers)Philip V. LoGrasso (5 shared papers)Mark Rochman (2 shared papers)Derek R. Duckett (4 shared papers)Yuan Yuan Ling (4 shared papers)Rong Jiang (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)SLAS DISCOVERY (1 paper)Science Translational Medicine (1 paper)Nature Communications (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Jeff E. Habel
16 papers receiving 527 citations
Peers
Comparison fields: 5 of 82
- Immunology 149
- Immunology and Allergy 26
- Molecular Biology 277
- Organic Chemistry 106
- Computational Theory and Mathematics 54
Countries citing papers authored by Jeff E. Habel
This map shows the geographic impact of Jeff E. Habel'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 Jeff E. Habel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff E. Habel more than expected).
Fields of papers citing papers by Jeff E. Habel
This network shows the impact of papers produced by Jeff E. Habel. 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 Jeff E. Habel. The network helps show where Jeff E. Habel may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff E. Habel, 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 | 2018 | 94 | |
| 2 | 2009 | 58 | |
| 3 | 2009 | 53 | |
| 4 | 2021 | 49 | |
| 5 | 2012 | 49 | |
| 6 | 2020 | 43 | |
| 7 | 2008 | 40 | |
| 8 | 2007 | 39 | |
| 9 | 2007 | 35 | |
| 10 | 2009 | 24 | |
| 11 | 2001 | 15 | |
| 12 | 2005 | 10 | |
| 13 | 2010 | 9 | |
| 14 | 2005 | 8 | |
| 15 | 2010 | 7 | |
| 16 | 2011 | 3 |
About Jeff E. Habel
Jeff E. Habel is a scholar working on Molecular Biology, Materials Chemistry, Surgery, Computational Theory and Mathematics and Immunology, having authored 16 papers that have together received 536 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Computational Drug Discovery Methods (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Eosinophilic Esophagitis (3 papers), Enzyme Structure and Function (3 papers), Cancer therapeutics and mechanisms (2 papers), Synthesis and biological activity (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Immunology (149 citations), Immunology and Allergy (26 citations), Molecular Biology (277 citations), Organic Chemistry (106 citations) and Computational Theory and Mathematics (54 citations). Jeff E. Habel has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Julie M. Caldwell, Marc E. Rothenberg, Michael Brusilovsky, Philip V. LoGrasso, Mark Rochman, Derek R. Duckett, Yuan Yuan Ling, Rong Jiang, Jeffrey K. Rymer and Jared Travers. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, SLAS DISCOVERY, Science Translational Medicine, Nature Communications and Journal of Biological Chemistry.
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.