Scott A. Ness
Impact in
- Immunology top 2%
- Cancer Research top 2%
- NF-κB Signaling Pathways
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 8
- CRISPR and Genetic Engineering 8
- RNA modifications and cancer 7
- RNA regulation and disease 6
- Gene expression and cancer classification 6
- Oncology 15
- Peptidase Inhibition and Analysis 6
- Co-authors
- Thomas Graf (6 shared papers)Achim Leutz (6 shared papers)Elisabeth Kowenz‐Leutz (3 shared papers)Ajeeta B. Dash (2 shared papers)Richard M. Pope (2 shared papers)John P. O’Rourke (6 shared papers)Huining Kang (12 shared papers)Kathryn J. Brayer (7 shared papers)
- Journals
- Cancers (6 papers)PLoS ONE (5 papers)Journal of Biological Chemistry (4 papers)Oncogene (3 papers)Cell (3 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Scott A. Ness
83 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 111
- Immunology 908
- Cancer Research 598
- Hematology 397
- Oncology 927
- Molecular Biology 2.4k
Countries citing papers authored by Scott A. Ness
This map shows the geographic impact of Scott A. Ness'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 Scott A. Ness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott A. Ness more than expected).
Fields of papers citing papers by Scott A. Ness
This network shows the impact of papers produced by Scott A. Ness. 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 Scott A. Ness. The network helps show where Scott A. Ness may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott A. Ness, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 425 | |
| 2 | 1993 | 249 | |
| 3 | 1998 | 230 | |
| 4 | 1993 | 181 | |
| 5 | 2015 | 174 | |
| 6 | 1994 | 165 | |
| 7 | 1996 | 147 | |
| 8 | 1990 | 138 | |
| 9 | 1998 | 132 | |
| 10 | 2004 | 127 | |
| 11 | 1989 | 120 | |
| 12 | 1998 | 108 | |
| 13 | 1996 | 86 | |
| 14 | 2003 | 82 | |
| 15 | 1991 | 81 | |
| 16 | 1999 | 80 | |
| 17 | 2011 | 77 | |
| 18 | 2014 | 63 | |
| 19 | 2011 | 61 | |
| 20 | 1987 | 61 |
About Scott A. Ness
Scott A. Ness is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Hematology, having authored 84 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (10 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), CRISPR and Genetic Engineering (8 papers), RNA modifications and cancer (7 papers), Peptidase Inhibition and Analysis (6 papers), RNA regulation and disease (6 papers), Cancer Genomics and Diagnostics (6 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Immunology (908 citations), Cancer Research (598 citations), Hematology (397 citations), Oncology (927 citations) and Molecular Biology (2.4k citations). Scott A. Ness has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Thomas Graf, Achim Leutz, Elisabeth Kowenz‐Leutz, Ajeeta B. Dash, Richard M. Pope, John P. O’Rourke, Huining Kang, Kathryn J. Brayer, Jon Frampton and Angela Wandinger‐Ness. Their work appears in journals such as Cancers, PLoS ONE, Journal of Biological Chemistry, Oncogene and Cell.
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.