Karel Pacák

22.7k total citations · 3 hit papers
205 papers, 11.4k citations indexed

About

Karel Pacák is a scholar working on Surgery, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Karel Pacák has authored 205 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Surgery, 122 papers in Cancer Research and 106 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Karel Pacák's work include Adrenal and Paraganglionic Tumors (148 papers), Cancer, Hypoxia, and Metabolism (122 papers) and Pituitary Gland Disorders and Treatments (72 papers). Karel Pacák is often cited by papers focused on Adrenal and Paraganglionic Tumors (148 papers), Cancer, Hypoxia, and Metabolism (122 papers) and Pituitary Gland Disorders and Treatments (72 papers). Karel Pacák collaborates with scholars based in United States, France and Germany. Karel Pacák's 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 and has published in prestigious journals such as The Lancet, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Karel Pacák

195 papers receiving 11.2k citations

Hit Papers

Pheochromocytoma and Paraganglioma: An Endocrine ... 2005 2026 2012 2019 2014 2005 2021 500 1000 1.5k

Peers

Karel Pacák
Comparison fields: 5 of 138
  • Surgery 8.2k
  • Endocrinology, Diabetes and Metabolism 7.0k
  • Cancer Research 5.2k
  • Neurology 1.8k
  • Epidemiology 1.4k
Replace Martin Faßnacht with:
Martin Faßnacht Germany
Xavier Bertagna France
Massimo Mannelli Italy
Jérôme Bertherat France
Henri Timmers Netherlands
Philippe Chanson France
Stefanie Hahner Germany
Ettore C. degli Uberti Italy
Stephan Petersenn Germany
Diego Ferone Italy
Martin Faßnacht Germany View profile →
Citations per field, relative to Karel Pacák
Karel Pacák · 1×
Citations per year, relative to Karel Pacák
Karel Pacák · 1×

Countries citing papers authored by Karel Pacák

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Karel Pacák

This figure shows the co-authorship network connecting the top 25 collaborators of Karel Pacák. A scholar is included among the top collaborators of Karel Pacák based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karel Pacák. Karel Pacák is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 7
4 0
5 1
6 6
7
Personalized Management of Pheochromocytoma and Paraganglioma breakdown →
200
8 35
9 7
10 4
11 67
12 16
13 180
14 254
15 113
16 88
17 15
18 99
19 89
20
Stress : basic mechanisms and clinical implications
91

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.

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