Matthew Volm
Impact in
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- Breast Cancer Treatment Studies
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- Viral-associated cancers and disorders
- Cancer Treatment and Pharmacology
- HER2/EGFR in Cancer Research
Papers in
- Oncology 10
- Cancer Treatment and Pharmacology 5
- Viral-associated cancers and disorders 4
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- PI3K/AKT/mTOR signaling in cancer 3
- Co-authors
- Silvia C. Formenti (5 shared papers)Franco M. Muggia (6 shared papers)Jamie H. Von Roenn (3 shared papers)Ruth Oratz (2 shared papers)Richard L. Shapiro (1 shared paper)Herman Yee (1 shared paper)Heather McMullen (1 shared paper)Sandra Demaria (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Current Opinion in Oncology (3 papers)Clinical Breast Cancer (1 paper)Cancer treatment and research (1 paper)Anti-Cancer Drugs (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Matthew Volm
17 papers receiving 477 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 120
- Oncology 196
- Pathology and Forensic Medicine 71
- Dermatology 34
- Hepatology 17
Countries citing papers authored by Matthew Volm
This map shows the geographic impact of Matthew Volm'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 Matthew Volm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Volm more than expected).
Fields of papers citing papers by Matthew Volm
This network shows the impact of papers produced by Matthew Volm. 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 Matthew Volm. The network helps show where Matthew Volm may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Volm, 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 | Paclitaxel-induced apoptosis and mitotic arrest assessed by serial fine-needle aspiration: implications for early prediction of breast cancer response to neoadjuvant treatment. | 2000 | 119 |
| 2 | 2003 | 94 | |
| 3 | 2014 | 68 | |
| 4 | 2001 | 60 | |
| 5 | 1997 | 32 | |
| 6 | 2003 | 26 | |
| 7 | 2005 | 24 | |
| 8 | 2007 | 22 | |
| 9 | 1996 | 14 | |
| 10 | 1995 | 11 | |
| 11 | 1999 | 5 | |
| 12 | 2003 | 4 | |
| 13 | 2012 | 4 | |
| 14 | 1995 | 4 | |
| 15 | 2013 | 3 | |
| 16 | 2012 | 2 | |
| 17 | 1997 | 1 |
About Matthew Volm
Matthew Volm is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Dermatology and Neurology, having authored 17 papers that have together received 493 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (5 papers), Viral-associated cancers and disorders (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), BRCA gene mutations in cancer (2 papers), Male Breast Health Studies (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Advanced Breast Cancer Therapies (2 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Cancer Research (120 citations), Oncology (196 citations), Pathology and Forensic Medicine (71 citations), Dermatology (34 citations) and Hepatology (17 citations). Matthew Volm has collaborated with scholars based in United States and Canada. Frequent co-authors include Silvia C. Formenti, Franco M. Muggia, Jamie H. Von Roenn, Ruth Oratz, Richard L. Shapiro, Herman Yee, Heather McMullen, Sandra Demaria, W. Fraser Symmans and Paula Klein. Their work appears in journals such as Journal of Clinical Oncology, Current Opinion in Oncology, Clinical Breast Cancer, Cancer treatment and research and Anti-Cancer Drugs.
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.