Paul Haluska
Impact in
- Oncology top 1%
- Cancer Cells and Metastasis
- CAR-T cell therapy research
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 12
- PI3K/AKT/mTOR signaling in cancer 7
- Cancer therapeutics and mechanisms 7
- Oncology 42
- HER2/EGFR in Cancer Research 7
- Cancer Cells and Metastasis 6
- Co-authors
- S. John Weroha (18 shared papers)Alex A. Adjei (9 shared papers)Antonio Gualberto (12 shared papers)Svetomir N. Markovic (3 shared papers)Johann S. de Bono (7 shared papers)Douglas J. Creedon (2 shared papers)Shernan G. Holtan (2 shared papers)Donghua Yin (4 shared papers)
- Journals
- Journal of Clinical Oncology (24 papers)Cancer Research (12 papers)Gynecologic Oncology (8 papers)Clinical Cancer Research (7 papers)Molecular Cancer Therapeutics (5 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Paul Haluska
107 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 113
- Oncology 1.7k
- Cancer Research 931
- Endocrinology, Diabetes and Metabolism 998
- Reproductive Medicine 329
- Molecular Biology 2.2k
Countries citing papers authored by Paul Haluska
This map shows the geographic impact of Paul Haluska'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 Paul Haluska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Haluska more than expected).
Fields of papers citing papers by Paul Haluska
This network shows the impact of papers produced by Paul Haluska. 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 Paul Haluska. The network helps show where Paul Haluska may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Haluska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 318 | |
| 2 | 2009 | 270 | |
| 3 | 2010 | 255 | |
| 4 | 2009 | 230 | |
| 5 | 2007 | 212 | |
| 6 | 2013 | 163 | |
| 7 | 2012 | 162 | |
| 8 | 2009 | 155 | |
| 9 | 2007 | 153 | |
| 10 | 2014 | 150 | |
| 11 | 2006 | 146 | |
| 12 | 2008 | 140 | |
| 13 | 2002 | 121 | |
| 14 | 2014 | 102 | |
| 15 | 2012 | 96 | |
| 16 | 2008 | 90 | |
| 17 | 2008 | 85 | |
| 18 | 2013 | 81 | |
| 19 | 2018 | 80 | |
| 20 | 2014 | 74 |
About Paul Haluska
Paul Haluska is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Cancer Research and Reproductive Medicine, having authored 110 papers that have together received 4.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (30 papers), Ovarian cancer diagnosis and treatment (17 papers), Cancer, Hypoxia, and Metabolism (16 papers), Metabolism, Diabetes, and Cancer (12 papers), HER2/EGFR in Cancer Research (7 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer therapeutics and mechanisms (7 papers) and Cancer Cells and Metastasis (6 papers). The work is most often cited by research in Oncology (1.7k citations), Cancer Research (931 citations), Endocrinology, Diabetes and Metabolism (998 citations), Reproductive Medicine (329 citations) and Molecular Biology (2.2k citations). Paul Haluska has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include S. John Weroha, Alex A. Adjei, Antonio Gualberto, Svetomir N. Markovic, Johann S. de Bono, Douglas J. Creedon, Shernan G. Holtan, Donghua Yin, Kimberly R. Kalli and Marc A. Becker. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Gynecologic Oncology, Clinical Cancer Research and Molecular Cancer Therapeutics.
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.