S.J. Miller
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
-
- Chromium effects and bioremediation
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology 8
- HER2/EGFR in Cancer Research 3
- Cancer-related Molecular Pathways 3
- Co-authors
- Benjamin G. Neel (3 shared papers)Mark E. Ewen (3 shared papers)Christopher Rensing (6 shared papers)Minyan He (3 shared papers)Gejiao Wang (3 shared papers)Xiangyang Li (2 shared papers)William S. Lane (1 shared paper)David C. Seldin (1 shared paper)
- Journals
- Molecular and Cellular Biology (2 papers)Journal of Bacteriology (2 papers)BMC Microbiology (1 paper)Journal of Neuroscience (1 paper)DNA and Cell Biology (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
S.J. Miller
35 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 125
- Oncology 528
- Health, Toxicology and Mutagenesis 251
- Molecular Biology 1.2k
- Cancer Research 183
- Genetics 98
Countries citing papers authored by S.J. Miller
This map shows the geographic impact of S.J. Miller'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 S.J. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.J. Miller more than expected).
Fields of papers citing papers by S.J. Miller
This network shows the impact of papers produced by S.J. Miller. 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 S.J. Miller. The network helps show where S.J. Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside S.J. Miller, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 326 | |
| 2 | 2013 | 322 | |
| 3 | 2000 | 193 | |
| 4 | 2002 | 176 | |
| 5 | 2010 | 172 | |
| 6 | 2000 | 141 | |
| 7 | 1998 | 120 | |
| 8 | 2010 | 82 | |
| 9 | 2005 | 74 | |
| 10 | 2000 | 62 | |
| 11 | 2004 | 60 | |
| 12 | 2012 | 52 | |
| 13 | 1996 | 47 | |
| 14 | 2011 | 47 | |
| 15 | 2012 | 28 | |
| 16 | 2001 | 20 | |
| 17 | 1986 | 14 | |
| 18 | 2003 | 12 | |
| 19 | 1996 | 11 | |
| 20 | 1993 | 11 |
About S.J. Miller
S.J. Miller is a scholar working on Molecular Biology, Oncology, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chromium effects and bioremediation (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), HER2/EGFR in Cancer Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer-related Molecular Pathways (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Metal Extraction and Bioleaching (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Oncology (528 citations), Health, Toxicology and Mutagenesis (251 citations), Molecular Biology (1.2k citations), Cancer Research (183 citations) and Genetics (98 citations). S.J. Miller has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Benjamin G. Neel, Mark E. Ewen, Christopher Rensing, Minyan He, Gejiao Wang, Xiangyang Li, William S. Lane, David C. Seldin, C. Bassi and Ryan J.O. Dowling. Their work appears in journals such as Molecular and Cellular Biology, Journal of Bacteriology, BMC Microbiology, Journal of Neuroscience and DNA and Cell Biology.
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.