Deanna Mohn
Impact in
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- CRISPR and Genetic Engineering
- Hedgehog Signaling Pathway Studies
- Protein Kinase Regulation and GTPase Signaling
- Pluripotent Stem Cells Research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Immunodeficiency and Autoimmune Disorders 2
- Genetics 4
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Margaret H. Baron (3 shared papers)Michael A. Dyer (2 shared papers)Sarah M. Farrington (1 shared paper)James R. Munday (1 shared paper)Perry B. Hackett (2 shared papers)Stephen C. Ekker (1 shared paper)Darius Balciunas (1 shared paper)Jennifer Shaffer (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (7 papers)Journal of Molecular Evolution (1 paper)Nature (1 paper)Frontiers in Pharmacology (1 paper)Developmental Dynamics (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Deanna Mohn
18 papers receiving 1.5k citations
Deanna Mohn's Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.0k
- Genetics 149
- Cell Biology 239
- Oncology 229
- Immunology 183
Countries citing papers authored by Deanna Mohn
This map shows the geographic impact of Deanna Mohn'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 Deanna Mohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deanna Mohn more than expected).
Fields of papers citing papers by Deanna Mohn
This network shows the impact of papers produced by Deanna Mohn. 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 Deanna Mohn. The network helps show where Deanna Mohn may publish in the future.
Co-authors
The 25 scholars most cited alongside Deanna Mohn, 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 | Diverse alterations associated with resistance to KRAS(G12C) inhibition Hit paper breakdown → | 2021 | 330 |
| 2 | 2001 | 321 | |
| 3 | 2003 | 191 | |
| 4 | 2019 | 110 | |
| 5 | 1999 | 96 | |
| 6 | 2014 | 77 | |
| 7 | 2006 | 64 | |
| 8 | 2015 | 56 | |
| 9 | 2020 | 52 | |
| 10 | 2006 | 50 | |
| 11 | 2012 | 44 | |
| 12 | 2015 | 34 | |
| 13 | 2003 | 29 | |
| 14 | 2015 | 21 | |
| 15 | 2008 | 19 | |
| 16 | 2016 | 18 | |
| 17 | 2004 | 12 | |
| 18 | 2009 | 9 |
About Deanna Mohn
Deanna Mohn is a scholar working on Immunology, Genetics, Molecular Biology, Oncology and Hematology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Quinazolinone synthesis and applications (3 papers), CRISPR and Genetic Engineering (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Asthma and respiratory diseases (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Genetics (149 citations), Cell Biology (239 citations), Oncology (229 citations) and Immunology (183 citations). Deanna Mohn has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Margaret H. Baron, Michael A. Dyer, Sarah M. Farrington, James R. Munday, Perry B. Hackett, Stephen C. Ekker, Darius Balciunas, Jennifer Shaffer, Spencer Hermanson and Ann E. Davidson. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Molecular Evolution, Nature, Frontiers in Pharmacology and Developmental Dynamics.
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.