Hubert Pakula
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Urology top 10%
- Hair Growth and Disorders
Papers in
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- Cancer-related gene regulation 2
- Angiogenesis and VEGF in Cancer 2
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- Cancer, Lipids, and Metabolism 6
- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 2
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Massimo Loda (10 shared papers)Zhe Li (1 shared paper)Dongxi Xiang (1 shared paper)Pier Vitale Nuzzo (5 shared papers)Filippo Pederzoli (5 shared papers)Giuseppe Nicolò Fanelli (6 shared papers)Massimiliano Raffo (2 shared papers)Jolanta Chmielowiec (1 shared paper)
- Journals
- Cancers (3 papers)Cell Reports (2 papers)Prostate Cancer and Prostatic Diseases (1 paper)Critical Reviews in Oncology/Hematology (1 paper)Science Signaling (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Hubert Pakula
16 papers receiving 439 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 122
- Urology 35
- Pulmonary and Respiratory Medicine 150
- Oncology 90
- Molecular Biology 213
Countries citing papers authored by Hubert Pakula
This map shows the geographic impact of Hubert Pakula'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 Hubert Pakula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hubert Pakula more than expected).
Fields of papers citing papers by Hubert Pakula
This network shows the impact of papers produced by Hubert Pakula. 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 Hubert Pakula. The network helps show where Hubert Pakula may publish in the future.
Co-authors
The 25 scholars most cited alongside Hubert Pakula, 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 | 2018 | 73 | |
| 2 | 2018 | 67 | |
| 3 | 2021 | 51 | |
| 4 | 2015 | 45 | |
| 5 | 2017 | 43 | |
| 6 | 2022 | 31 | |
| 7 | 2023 | 30 | |
| 8 | 2018 | 24 | |
| 9 | 2010 | 20 | |
| 10 | 2020 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 2024 | 12 | |
| 13 | 2024 | 6 | |
| 14 | 2025 | 5 | |
| 15 | 2022 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2026 | 0 | |
| 18 | 2024 | 0 |
About Hubert Pakula
Hubert Pakula is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 18 papers that have together received 443 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), Cancer, Lipids, and Metabolism (6 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related gene regulation (2 papers), Angiogenesis and VEGF in Cancer (2 papers), PARP inhibition in cancer therapy (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (122 citations), Urology (35 citations), Pulmonary and Respiratory Medicine (150 citations), Oncology (90 citations) and Molecular Biology (213 citations). Hubert Pakula has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Massimo Loda, Zhe Li, Dongxi Xiang, Pier Vitale Nuzzo, Filippo Pederzoli, Giuseppe Nicolò Fanelli, Massimiliano Raffo, Jolanta Chmielowiec, Linxiang Lan and Walter Birchmeier. Their work appears in journals such as Cancers, Cell Reports, Prostate Cancer and Prostatic Diseases, Critical Reviews in Oncology/Hematology and Science Signaling.
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.