Chris Neff
Impact in
Papers in
-
- DNA Repair Mechanisms 9
- Bacillus and Francisella bacterial research 2
- Genetics 14
- BRCA gene mutations in cancer 7
- Genetic Associations and Epidemiology 3
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Donna Shattuck (8 shared papers)Jerry S. Lanchbury (10 shared papers)Alexander Gutin (11 shared papers)Victor Abkevich (8 shared papers)Kirsten M. Timms (11 shared papers)Max T. Dufford (4 shared papers)Thanh V. Tran (4 shared papers)Jennifer Potter (5 shared papers)
- Journals
- Cancer Research (3 papers)Clinical Cancer Research (2 papers)Annals of Oncology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesGermanyTunisia
In The Last Decade
Chris Neff
18 papers receiving 927 citations
Peers
Comparison fields: 5 of 81
- Virology 70
- Oncology 351
- Cancer Research 160
- Genetics 257
- Molecular Biology 546
Countries citing papers authored by Chris Neff
This map shows the geographic impact of Chris Neff'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 Chris Neff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Neff more than expected).
Fields of papers citing papers by Chris Neff
This network shows the impact of papers produced by Chris Neff. 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 Chris Neff. The network helps show where Chris Neff may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Neff, 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 | 2014 | 273 | |
| 2 | 2006 | 119 | |
| 3 | 2010 | 108 | |
| 4 | 2008 | 83 | |
| 5 | 2017 | 78 | |
| 6 | 2009 | 57 | |
| 7 | 2009 | 49 | |
| 8 | 2001 | 42 | |
| 9 | 2009 | 35 | |
| 10 | 2016 | 26 | |
| 11 | 2021 | 26 | |
| 12 | 2019 | 23 | |
| 13 | 2009 | 8 | |
| 14 | 2015 | 5 | |
| 15 | 2014 | 4 | |
| 16 | 2016 | 2 | |
| 17 | 2013 | 1 | |
| 18 | 2015 | 1 |
About Chris Neff
Chris Neff is a scholar working on Molecular Biology, Genetics, Oncology, Virology and Epidemiology, having authored 18 papers that have together received 940 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), PARP inhibition in cancer therapy (9 papers), BRCA gene mutations in cancer (7 papers), Genetic Associations and Epidemiology (3 papers), Poxvirus research and outbreaks (3 papers), Cancer Genomics and Diagnostics (2 papers), Bacillus and Francisella bacterial research (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Virology (70 citations), Oncology (351 citations), Cancer Research (160 citations), Genetics (257 citations) and Molecular Biology (546 citations). Chris Neff has collaborated with scholars based in United States, Germany and Tunisia. Frequent co-authors include Donna Shattuck, Jerry S. Lanchbury, Alexander Gutin, Victor Abkevich, Kirsten M. Timms, Max T. Dufford, Thanh V. Tran, Jennifer Potter, Diana Iliev and Zaina Sangale. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Annals of Oncology, Proceedings of the National Academy of Sciences and Journal of Virology.
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.