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 18
- Cancer Treatment and Pharmacology 15
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- Synthetic Organic Chemistry Methods 8
- Synthesis of β-Lactam Compounds 3
- Co-authors
- Gunda I. Georg (15 shared papers)Yajun Xu (6 shared papers)Danyi Wen (5 shared papers)Yuhua Nong (3 shared papers)Julian Adams (2 shared papers)Lloyd T. Lam (2 shared papers)Maria Hottelet (2 shared papers)Louis M. Staudt (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (10 papers)The Journal of Organic Chemistry (2 papers)Tetrahedron Letters (2 papers)Clinical Cancer Research (1 paper)Blood (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Hepperle
28 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Cancer Research 315
- Oncology 497
- Pathology and Forensic Medicine 239
- Immunology 266
- Genetics 123
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 28 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 | 257 |
| 2 | 2005 | 192 | |
| 3 | 2006 | 104 | |
| 4 | 1998 | 77 | |
| 5 | 2006 | 71 | |
| 6 | 2006 | 65 | |
| 7 | 2006 | 43 | |
| 8 | 1993 | 41 | |
| 9 | 1994 | 38 | |
| 10 | 1996 | 37 | |
| 11 | 1994 | 35 | |
| 12 | 2009 | 31 | |
| 13 | 2002 | 27 | |
| 14 | 1999 | 24 | |
| 15 | 1997 | 22 | |
| 16 | 1999 | 22 | |
| 17 | 2010 | 20 | |
| 18 | 1995 | 19 | |
| 19 | 1994 | 18 | |
| 20 | 1994 | 16 |
About Michael Hepperle
Michael Hepperle is a scholar working on Oncology, Organic Chemistry, Molecular Biology, Cancer Research and Pharmacology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (15 papers), Synthetic Organic Chemistry Methods (8 papers), NF-κB Signaling Pathways (5 papers), 14-3-3 protein interactions (4 papers), Microtubule and mitosis dynamics (4 papers), Microbial Natural Products and Biosynthesis (4 papers), Synthesis of β-Lactam Compounds (3 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Cancer Research (315 citations), Oncology (497 citations), Pathology and Forensic Medicine (239 citations), Immunology (266 citations) and Genetics (123 citations). Michael Hepperle has collaborated with scholars based in United States. Frequent co-authors include Gunda I. Georg, Yajun Xu, Danyi Wen, Yuhua Nong, Julian Adams, Lloyd T. Lam, Maria Hottelet, Louis M. Staudt, R. Eric Davis and Lenny Dang. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Organic Chemistry, Tetrahedron Letters, Clinical Cancer Research 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.