Scott A. Ness

4.8k total citations
85 papers, 4.0k citations indexed

About

Scott A. Ness is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Scott A. Ness has authored 85 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 20 papers in Oncology and 17 papers in Cancer Research. Recurrent topics in Scott A. Ness's work include Cancer Mechanisms and Therapy (10 papers), CRISPR and Genetic Engineering (8 papers) and RNA modifications and cancer (8 papers). Scott A. Ness is often cited by papers focused on Cancer Mechanisms and Therapy (10 papers), CRISPR and Genetic Engineering (8 papers) and RNA modifications and cancer (8 papers). Scott A. Ness collaborates with scholars based in United States, China and Germany. Scott A. Ness's co-authors include Thomas Graf, Achim Leutz, Joel Johansson, Elisabeth Kowenz‐Leutz, Ajeeta B. Dash, Richard M. Pope, John P. O’Rourke, Huining Kang, Kathryn J. Brayer and Jon Frampton and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Scott A. Ness

84 papers receiving 4.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Scott A. Ness 2.5k 992 982 635 538 85 4.0k
Masaharu Isobe 1.8k 0.7× 1.2k 1.2× 876 0.9× 425 0.7× 453 0.8× 81 3.6k
Frank Leithäuser 1.7k 0.7× 1.8k 1.8× 990 1.0× 410 0.6× 740 1.4× 79 4.0k
Elwyn Loh 2.0k 0.8× 938 0.9× 929 0.9× 345 0.5× 237 0.4× 66 4.0k
Yoshinobu Matsuo 1.7k 0.7× 1.0k 1.0× 940 1.0× 346 0.5× 501 0.9× 126 3.7k
Shigeo Takaishi 1.6k 0.6× 1.1k 1.1× 1.5k 1.5× 582 0.9× 302 0.6× 63 3.8k
Rie Watanabe‐Fukunaga 4.2k 1.7× 3.2k 3.2× 976 1.0× 663 1.0× 289 0.5× 21 6.9k
Richard J. Bram 2.7k 1.1× 3.2k 3.2× 899 0.9× 520 0.8× 300 0.6× 76 6.2k
Christine Mirtsos 3.2k 1.3× 1.7k 1.7× 857 0.9× 908 1.4× 464 0.9× 16 4.7k
Martin Corcoran 2.1k 0.9× 999 1.0× 521 0.5× 769 1.2× 588 1.1× 72 3.9k
Virginia Godfrey 2.4k 1.0× 1.7k 1.8× 1.5k 1.6× 689 1.1× 568 1.1× 63 5.2k

Countries citing papers authored by Scott A. Ness

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Scott A. Ness

This figure shows the co-authorship network connecting the top 25 collaborators of Scott A. Ness. A scholar is included among the top collaborators of Scott A. Ness based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott A. Ness. Scott A. Ness is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Steinkamp, Mara P., Irina V. Lagutina, Kathryn J. Brayer, et al.. (2023). Humanized Patient-derived Xenograft Models of Disseminated Ovarian Cancer Recapitulate Key Aspects of the Tumor Immune Environment within the Peritoneal Cavity. Cancer Research Communications. 3(2). 309–324. 11 indexed citations
2.
Yu, Hui, Limin Jiang, Chung-I Li, et al.. (2023). Somatic mutation effects diffused over microRNA dysregulation. Bioinformatics. 39(9). 1 indexed citations
3.
Jiang, Limin, Fei Ye, Jie Ping, et al.. (2023). Deep neural network based tissue deconvolution of circulating tumor cell RNA. Journal of Translational Medicine. 21(1). 783–783. 7 indexed citations
4.
Brayer, Kathryn J., et al.. (2023). The inflammatory response of human pancreatic cancer samples compared to normal controls. PLoS ONE. 18(11). e0284232–e0284232. 7 indexed citations
5.
Shaheen, Montaser, Julie Y. Tse, Ethan Sokol, et al.. (2022). Genomic landscape of lymphatic malformations: a case series and response to the PI3Kα inhibitor alpelisib in an N-of-1 clinical trial. eLife. 11. 9 indexed citations
6.
Yu, Hui, et al.. (2022). Surveying mutation density patterns around specific genomic features. Genome Research. 32(10). 1930–1940. 7 indexed citations
7.
Guo, Yan, Haocan Song, Huining Kang, et al.. (2021). MetaGSCA: A tool for meta-analysis of gene set differential coexpression. PLoS Computational Biology. 17(5). e1008976–e1008976. 3 indexed citations
8.
Ye, Bo, Jianxin Shi, Huining Kang, et al.. (2019). Advancing Pan-cancer Gene Expression Survial Analysis by Inclusion of Non-coding RNA. RNA Biology. 17(11). 1666–1673. 20 indexed citations
9.
Brayer, Kathryn J., et al.. (2015). Recurrent Fusions in MYB and MYBL1 Define a Common, Transcription Factor–Driven Oncogenic Pathway in Salivary Gland Adenoid Cystic Carcinoma. Cancer Discovery. 6(2). 176–187. 167 indexed citations
10.
Romero, Elsa, Angela Welford, Gavin Pickett, et al.. (2011). Adult human CD133/1+ kidney cells isolated from papilla integrate into developing kidney tubules. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1812(10). 1344–1357. 57 indexed citations
11.
Ness, Scott A.. (2010). The Anonymous Poster: How to Protect Internet Users’ Privacy and Prevent Abuse. 9(1). 1–27.
12.
Williamson, Elizabeth A., Scott A. Ness, John P. O’Rourke, et al.. (2008). Expression levels of the human DNA repair protein metnase influence lentiviral genomic integration. Biochimie. 90(9). 1422–1426. 17 indexed citations
13.
Shah, Vallabh O., Elizabeth A. Dominic, Pope Moseley, et al.. (2006). Hemodialysis Modulates Gene Expression Profile in Skeletal Muscle. American Journal of Kidney Diseases. 48(4). 616–628. 16 indexed citations
14.
Lei, Wenliang, et al.. (2005). Oncogenic mutations cause dramatic, qualitative changes in the transcriptional activity of c-Myb. Oncogene. 25(5). 795–805. 35 indexed citations
15.
Roitbak, Tamara, Christopher J. Ward, Peter C. Harris, et al.. (2004). A Polycystin-1 Multiprotein Complex Is Disrupted in Polycystic Kidney Disease Cells. Molecular Biology of the Cell. 15(3). 1334–1346. 119 indexed citations
16.
Ness, Scott A.. (2003). Myb protein specificity: evidence of a context-specific transcription factor code. Blood Cells Molecules and Diseases. 31(2). 192–200. 50 indexed citations
17.
Lovis, Rosa, et al.. (1998). Tumor Necrosis Factor Alpha Gene Regulation: Enhancement of C/EBPβ-Induced Activation by c-Jun. Molecular and Cellular Biology. 18(5). 2815–2824. 107 indexed citations
18.
Johansson, Joel, Päivi J. Koskinen, Eeva-Marja Rainio, et al.. (1998). Pim-1 Kinase and p100 Cooperate to Enhance c-Myb Activity. Molecular Cell. 2(4). 417–425. 228 indexed citations
19.
Pope, Richard M., Achim Leutz, & Scott A. Ness. (1994). C/EBP beta regulation of the tumor necrosis factor alpha gene.. Journal of Clinical Investigation. 94(4). 1449–1455. 161 indexed citations
20.
Frampton, Jon, Toby J. Gibson, Scott A. Ness, Gabriele Döderlein, & Thomas Graf. (1991). Proposed structure for the DNA-binding domain of the Myb oncoprotein based on model building and mutational analysis. Protein Engineering Design and Selection. 4(8). 891–901. 81 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Masaharu Isobe Breakdown of academic impact, for papers by Frank Leithäuser Breakdown of academic impact, for papers by Elwyn Loh Breakdown of academic impact, for papers by Yoshinobu Matsuo Breakdown of academic impact, for papers by Shigeo Takaishi Breakdown of academic impact, for papers by Rie Watanabe‐Fukunaga Breakdown of academic impact, for papers by Richard J. Bram Breakdown of academic impact, for papers by Christine Mirtsos Breakdown of academic impact, for papers by Martin Corcoran Breakdown of academic impact, for papers by Virginia Godfrey
Rankless by CCL
2026