Hubert Pakula
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
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- Prostate Cancer Treatment and Research
Papers in
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- Cancer, Lipids, and Metabolism 5
- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 3
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- Prostate Cancer Treatment and Research 11
- Co-authors
- Massimo F. Loda (10 shared papers)Dongxi Xiang (1 shared paper)Zhe Li (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)Guo‐Cheng Yuan (1 shared paper)
- Journals
- Cell Reports (3 papers)Cancers (3 papers)Nature Communications (2 papers)Nature (1 paper)Non-coding RNA Research (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Hubert Pakula
19 papers receiving 594 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 161
- Pulmonary and Respiratory Medicine 207
- Urology 36
- Oncology 116
- Molecular Biology 276
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 81 | |
| 2 | 2018 | 72 | |
| 3 | 2021 | 65 | |
| 4 | 2019 | 50 | |
| 5 | 2015 | 48 | |
| 6 | 2017 | 47 | |
| 7 | 2023 | 37 | |
| 8 | 2022 | 34 | |
| 9 | 2018 | 26 | |
| 10 | 2024 | 25 | |
| 11 | 2023 | 25 | |
| 12 | 2022 | 21 | |
| 13 | 2010 | 20 | |
| 14 | 2020 | 18 | |
| 15 | 2024 | 14 | |
| 16 | 2024 | 8 | |
| 17 | 2025 | 7 | |
| 18 | 2018 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2026 | 0 |
About Hubert Pakula
Hubert Pakula is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Cell Biology, having authored 21 papers that have together received 601 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Cancer, Lipids, and Metabolism (5 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related molecular mechanisms research (3 papers), Lipid metabolism and biosynthesis (2 papers), Cancer-related gene regulation (2 papers), PARP inhibition in cancer therapy (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (161 citations), Pulmonary and Respiratory Medicine (207 citations), Urology (36 citations), Oncology (116 citations) and Molecular Biology (276 citations). Hubert Pakula has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Massimo F. Loda, Dongxi Xiang, Zhe Li, Pier Vitale Nuzzo, Filippo Pederzoli, Giuseppe Nicolò Fanelli, Massimiliano Raffo, Guo‐Cheng Yuan, Klaus Rajewsky and João Diogo Barros-Silva. Their work appears in journals such as Cell Reports, Cancers, Nature Communications, Nature and Non-coding RNA Research.
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.