Michael Grondine
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
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- DNA Repair Mechanisms
- Cancer therapeutics and mechanisms
- PI3K/AKT/mTOR signaling in cancer
- Cell death mechanisms and regulation
Papers in
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- Cancer therapeutics and mechanisms 3
- DNA Repair Mechanisms 3
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- Cancer Mechanisms and Therapy 4
- Co-authors
- Stephen Green (3 shared papers)Chun Deng (3 shared papers)Sonya Zabludoff (3 shared papers)James W. Janetka (3 shared papers)Susan Ashwell (3 shared papers)Candice L. Horn (3 shared papers)Archie Tse (1 shared paper)Dongfang Liu (2 shared papers)
- Journals
- Cancer Research (4 papers)Molecular Cancer Therapeutics (3 papers)Clinical Cancer Research (1 paper)Blood (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Michael Grondine
14 papers receiving 534 citations
Peers
Comparison fields: 5 of 62
- Oncology 265
- Molecular Biology 421
- Cell Biology 76
- Cancer Research 63
- Genetics 35
Countries citing papers authored by Michael Grondine
This map shows the geographic impact of Michael Grondine'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 Michael Grondine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Grondine more than expected).
Fields of papers citing papers by Michael Grondine
This network shows the impact of papers produced by Michael Grondine. 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 Michael Grondine. The network helps show where Michael Grondine may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Grondine, 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 | 2008 | 333 | |
| 2 | 2015 | 103 | |
| 3 | 2022 | 22 | |
| 4 | 2018 | 20 | |
| 5 | 2012 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2020 | 9 | |
| 8 | 2011 | 8 | |
| 9 | Preclinical identification of AZD7762, a novel, potent and selective inhibitor of Checkpoint kinases | 2007 | 3 |
| 10 | 2016 | 3 | |
| 11 | 2012 | 3 | |
| 12 | 2018 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2019 | 1 |
About Michael Grondine
Michael Grondine is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 14 papers that have together received 544 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (4 papers), Cancer therapeutics and mechanisms (3 papers), DNA Repair Mechanisms (3 papers), Cancer Treatment and Pharmacology (2 papers), Cancer-related Molecular Pathways (2 papers), Lung Cancer Treatments and Mutations (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Oncology (265 citations), Molecular Biology (421 citations), Cell Biology (76 citations), Cancer Research (63 citations) and Genetics (35 citations). Michael Grondine has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Stephen Green, Chun Deng, Sonya Zabludoff, James W. Janetka, Susan Ashwell, Candice L. Horn, Archie Tse, Dongfang Liu, Graeme E. Walker and Elizabeth Mouchet. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Clinical Cancer Research, Blood and Journal of Medicinal Chemistry.
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.