Michael Hepperle
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Oncology top 5%
- Cancer Treatment and Pharmacology
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 16
- Cancer Treatment and Pharmacology 13
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- Synthetic Organic Chemistry Methods 7
- Synthesis of β-Lactam Compounds 3
- Catalytic Cross-Coupling Reactions 3
- Co-authors
- Gunda I. Georg (13 shared papers)Yajun Xu (6 shared papers)Danyi Wen (5 shared papers)Yuhua Nong (3 shared papers)Lloyd T. Lam (2 shared papers)Louis M. Staudt (2 shared papers)Lenny Dang (2 shared papers)Maria Hottelet (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (10 papers)Tetrahedron Letters (2 papers)The Journal of Organic Chemistry (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Hepperle
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Cancer Research 333
- Oncology 482
- Pathology and Forensic Medicine 245
- Immunology 285
- Genetics 122
Countries citing papers authored by Michael Hepperle
This map shows the geographic impact of Michael Hepperle'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 Michael Hepperle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hepperle more than expected).
Fields of papers citing papers by Michael Hepperle
This network shows the impact of papers produced by Michael Hepperle. 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 Michael Hepperle. The network helps show where Michael Hepperle may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Hepperle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Small molecule inhibitors of IkappaB kinase are selectively toxic for subgroups of diffuse large B-cell lymphoma defined by gene expression profiling. | 2005 | 252 |
| 2 | 2005 | 187 | |
| 3 | 2006 | 101 | |
| 4 | 1998 | 73 | |
| 5 | 2006 | 69 | |
| 6 | 2006 | 63 | |
| 7 | 2006 | 39 | |
| 8 | 1994 | 36 | |
| 9 | 1996 | 35 | |
| 10 | 1994 | 35 | |
| 11 | 1993 | 32 | |
| 12 | 2002 | 27 | |
| 13 | 1999 | 24 | |
| 14 | 1997 | 22 | |
| 15 | 2010 | 19 | |
| 16 | 1995 | 19 | |
| 17 | 1999 | 18 | |
| 18 | 1994 | 14 | |
| 19 | 2009 | 12 | |
| 20 | 1996 | 12 |
About Michael Hepperle
Michael Hepperle is a scholar working on Oncology, Organic Chemistry, Molecular Biology, Cancer Research and Pharmacology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (13 papers), Synthetic Organic Chemistry Methods (7 papers), NF-κB Signaling Pathways (6 papers), Microbial Natural Products and Biosynthesis (3 papers), Microtubule and mitosis dynamics (3 papers), Synthesis of β-Lactam Compounds (3 papers), 14-3-3 protein interactions (3 papers) and Catalytic Cross-Coupling Reactions (3 papers). The work is most often cited by research in Cancer Research (333 citations), Oncology (482 citations), Pathology and Forensic Medicine (245 citations), Immunology (285 citations) and Genetics (122 citations). Michael Hepperle has collaborated with scholars based in United States. Frequent co-authors include Gunda I. Georg, Yajun Xu, Danyi Wen, Yuhua Nong, Lloyd T. Lam, Louis M. Staudt, Lenny Dang, Maria Hottelet, R. Eric Davis and Julian Adams. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, The Journal of Organic Chemistry, Journal of Pharmacology and Experimental Therapeutics and Clinical Cancer Research.
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.