Lisa McFerrin
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
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- Protein Degradation and Inhibitors 2
- Ubiquitin and proteasome pathways 2
- Machine Learning in Bioinformatics 1
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- Cancer Genomics and Diagnostics 2
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- William R. Atchley (2 shared papers)Daniel Diolaiti (2 shared papers)Robert N. Eisenman (2 shared papers)Patrick A. Carroll (2 shared papers)James B. Hurley (1 shared paper)Donald E. Ayer (1 shared paper)Sarah Anderson (1 shared paper)Michelle Ulrich (1 shared paper)
- Journals
- Acta Neuropathologica Communications (1 paper)BMC Genomics (1 paper)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)The Prostate (1 paper)Genome Biology and Evolution (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Lisa McFerrin
9 papers receiving 456 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 158
- Genetics 97
- Aging 13
- Molecular Biology 275
- Neurology 43
Countries citing papers authored by Lisa McFerrin
This map shows the geographic impact of Lisa McFerrin'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 Lisa McFerrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa McFerrin more than expected).
Fields of papers citing papers by Lisa McFerrin
This network shows the impact of papers produced by Lisa McFerrin. 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 Lisa McFerrin. The network helps show where Lisa McFerrin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa McFerrin, 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 | 2015 | 158 | |
| 2 | 2014 | 82 | |
| 3 | 2017 | 79 | |
| 4 | 2012 | 43 | |
| 5 | 2011 | 29 | |
| 6 | 2019 | 23 | |
| 7 | 2016 | 22 | |
| 8 | 2018 | 22 | |
| 9 | 2011 | 4 |
About Lisa McFerrin
Lisa McFerrin is a scholar working on Molecular Biology, Cancer Research, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 462 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (2 papers), Cancer Genomics and Diagnostics (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Ubiquitin and proteasome pathways (2 papers), Glioma Diagnosis and Treatment (2 papers), Machine Learning in Bioinformatics (1 paper), Prostate Cancer Treatment and Research (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (158 citations), Genetics (97 citations), Aging (13 citations), Molecular Biology (275 citations) and Neurology (43 citations). Lisa McFerrin has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include William R. Atchley, Daniel Diolaiti, Robert N. Eisenman, Patrick A. Carroll, James B. Hurley, Donald E. Ayer, Sarah Anderson, Michelle Ulrich, Daniel Raftery and Danijel Djukovic. Their work appears in journals such as Acta Neuropathologica Communications, BMC Genomics, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, The Prostate and Genome Biology and Evolution.
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.