Chris Proffitt
Impact in
- Molecular Biology top 5%
- DNA and Nucleic Acid Chemistry
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- Protein Kinase Regulation and GTPase Signaling
- DNA Repair Mechanisms
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- RNA modifications and cancer 4
- PI3K/AKT/mTOR signaling in cancer 3
- RNA and protein synthesis mechanisms 3
- Ubiquitin and proteasome pathways 2
- DNA Repair Mechanisms 1
- Oncology 4
- Cytokine Signaling Pathways and Interactions 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- Adam Siddiqui-Jain (9 shared papers)Sean O’Brien (10 shared papers)William G. Rice (9 shared papers)Denis Drygin (11 shared papers)Kenna Anderes (11 shared papers)Caroline B. Ho (9 shared papers)Michael K. Schwaebe (4 shared papers)Josh Bliesath (8 shared papers)
- Journals
- Cancer Research (4 papers)Molecular Cancer Therapeutics (2 papers)Biochemical and Biophysical Research Communications (1 paper)Blood (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Chris Proffitt
11 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 1.4k
- Oncology 342
- Cancer Research 124
- Genetics 63
- Hematology 58
Countries citing papers authored by Chris Proffitt
This map shows the geographic impact of Chris Proffitt'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 Proffitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Proffitt more than expected).
Fields of papers citing papers by Chris Proffitt
This network shows the impact of papers produced by Chris Proffitt. 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 Proffitt. The network helps show where Chris Proffitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Proffitt, 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 | 2009 | 484 | |
| 2 | 2010 | 483 | |
| 3 | 2010 | 434 | |
| 4 | 2012 | 121 | |
| 5 | 2012 | 87 | |
| 6 | 2012 | 62 | |
| 7 | 2011 | 59 | |
| 8 | 2010 | 3 | |
| 9 | 2008 | 2 | |
| 10 | 2011 | 1 | |
| 11 | 2009 | 1 | |
| 12 | 2020 | 0 |
About Chris Proffitt
Chris Proffitt is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Cancer Research and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers), NF-κB Signaling Pathways (2 papers), HER2/EGFR in Cancer Research (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Oncology (342 citations), Cancer Research (124 citations), Genetics (63 citations) and Hematology (58 citations). Chris Proffitt has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Adam Siddiqui-Jain, Sean O’Brien, William G. Rice, Denis Drygin, Kenna Anderes, Caroline B. Ho, Michael K. Schwaebe, Josh Bliesath, David M. Ryckman and Mayuko Omori. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Biochemical and Biophysical Research Communications, Blood and SLAS DISCOVERY.
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.