Tim Rupp
Impact in
- Urology top 10%
- Hair Growth and Disorders
- Dermatology top 10%
Papers in
-
- Ubiquitin and proteasome pathways 2
- Genomics, phytochemicals, and oxidative stress 2
-
- NF-κB Signaling Pathways 4
- Co-authors
- John DiGiovanni (11 shared papers)Kaoru Kiguchi (7 shared papers)David K. Bol (4 shared papers)John J. Reiners (7 shared papers)Irma Gimenez‐Conti (2 shared papers)Linda Beltrán (6 shared papers)Joe M. Angel (1 shared paper)Akira Imamoto (1 shared paper)
- Journals
- Molecular Carcinogenesis (7 papers)Carcinogenesis (5 papers)Journal of Investigative Dermatology (1 paper)Differentiation (1 paper)Oncogene (1 paper)
- Partner nations
- United States
In The Last Decade
Tim Rupp
18 papers receiving 484 citations
Peers
Comparison fields: 5 of 74
- Urology 47
- Dermatology 56
- Cancer Research 79
- Endocrinology, Diabetes and Metabolism 83
- Oncology 112
Countries citing papers authored by Tim Rupp
This map shows the geographic impact of Tim Rupp'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 Tim Rupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Rupp more than expected).
Fields of papers citing papers by Tim Rupp
This network shows the impact of papers produced by Tim Rupp. 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 Tim Rupp. The network helps show where Tim Rupp may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Rupp, 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 | 1997 | 129 | |
| 2 | 1998 | 46 | |
| 3 | 1991 | 42 | |
| 4 | 1997 | 40 | |
| 5 | Activation of the epidermal growth factor receptor by skin tumor promoters and in skin tumors from SENCAR mice. | 1995 | 40 |
| 6 | 1998 | 40 | |
| 7 | 1999 | 35 | |
| 8 | 1996 | 27 | |
| 9 | 1989 | 27 | |
| 10 | 1990 | 19 | |
| 11 | 1994 | 15 | |
| 12 | Tumor copromoting activity of gamma-interferon in the murine skin multistage carcinogenesis model. | 1989 | 12 |
| 13 | 1991 | 11 | |
| 14 | 1990 | 10 | |
| 15 | 1999 | 4 | |
| 16 | 1998 | 4 | |
| 17 | 1998 | 2 | |
| 18 | 1990 | 1 |
About Tim Rupp
Tim Rupp is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Nephrology, having authored 18 papers that have together received 504 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), NF-κB Signaling Pathways (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Virus-based gene therapy research (3 papers), Ubiquitin and proteasome pathways (2 papers), Animal Genetics and Reproduction (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Skin Protection and Aging (2 papers). The work is most often cited by research in Urology (47 citations), Dermatology (56 citations), Cancer Research (79 citations), Endocrinology, Diabetes and Metabolism (83 citations) and Oncology (112 citations). Tim Rupp has collaborated with scholars based in United States. Frequent co-authors include John DiGiovanni, Kaoru Kiguchi, David K. Bol, John J. Reiners, Irma Gimenez‐Conti, Linda Beltrán, Joe M. Angel, Akira Imamoto, Asher Zilberstein and Amy Pavone. Their work appears in journals such as Molecular Carcinogenesis, Carcinogenesis, Journal of Investigative Dermatology, Differentiation and Oncogene.
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.