Karel Pacák
- Endocrinology, Diabetes and Metabolism top 0.05%
- Pituitary Gland Disorders and Treatments 72
- Hormonal Regulation and Hypertension 50
- Cancer Research top 0.1%
- Cancer, Hypoxia, and Metabolism 122
- Surgery top 0.1%
- Adrenal and Paraganglionic Tumors 148
- Neurology top 0.5%
- Neuroblastoma Research and Treatments 43
- Behavioral Neuroscience top 5%
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- Neuroendocrine Tumor Research Advances 25
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- Lung Cancer Research Studies 15
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- Medical Imaging Techniques and Applications 10
- Co-authors
- Graeme EisenhoferJacques W.M. LendersMassimo MannelliDavid TaïebAnne‐Paule Gimenez‐RoqueploMitsuhide NaruseM. Hassan MuradStefan K. Grebe
- Partner nations
- United StatesFranceGermany
In The Last Decade
Karel Pacák
195 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Endocrinology, Diabetes and Metabolism 7.0k
- Cancer Research 5.2k
- Surgery 8.2k
- Neurology 1.8k
- Behavioral Neuroscience 166
Countries citing papers authored by Karel Pacák
This map shows the geographic impact of Karel Pacák'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 Karel Pacák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karel Pacák more than expected).
Fields of papers citing papers by Karel Pacák
This network shows the impact of papers produced by Karel Pacák. 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 Karel Pacák. The network helps show where Karel Pacák may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karel Pacák, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 6 | |
| 7 | Personalized Management of Pheochromocytoma and Paragangliomabreakdown → | 2021 | 200 |
| 8 | 2020 | 35 | |
| 9 | 2020 | 7 | |
| 10 | 2018 | 4 | |
| 11 | 2018 | 67 | |
| 12 | 2017 | 16 | |
| 13 | 2015 | 180 | |
| 14 | 2015 | 254 | |
| 15 | 2011 | 113 | |
| 16 | 2011 | 88 | |
| 17 | 2011 | 15 | |
| 18 | 2011 | 99 | |
| 19 | 2008 | 89 | |
| 20 | Stress : basic mechanisms and clinical implications | 1995 | 91 |
About Karel Pacák
Karel Pacák is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 205 papers that have together received 11.4k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (148 papers), Cancer, Hypoxia, and Metabolism (122 papers), Pituitary Gland Disorders and Treatments (72 papers), Hormonal Regulation and Hypertension (50 papers), Neuroblastoma Research and Treatments (43 papers), Neuroendocrine Tumor Research Advances (25 papers), Lung Cancer Research Studies (15 papers) and Medical Imaging Techniques and Applications (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.0k citations), Cancer Research (5.2k citations) and Surgery (8.2k citations). Karel Pacák has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Graeme Eisenhofer, Jacques W.M. Lenders, Massimo Mannelli, David Taïeb, Anne‐Paule Gimenez‐Roqueplo, Mitsuhide Naruse, M. Hassan Murad, Stefan K. Grebe, William F. Young and Quan‐Yang Duh. Their work appears in journals such as The Lancet, Nature Communications and Journal of Clinical Oncology.
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.