Paweł Gut

902 total citations
75 papers, 610 citations indexed

About

Paweł Gut is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Oncology. According to data from OpenAlex, Paweł Gut has authored 75 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Endocrinology, Diabetes and Metabolism, 29 papers in Epidemiology and 26 papers in Oncology. Recurrent topics in Paweł Gut's work include Neuroendocrine Tumor Research Advances (29 papers), Neuroblastoma Research and Treatments (20 papers) and Lung Cancer Research Studies (18 papers). Paweł Gut is often cited by papers focused on Neuroendocrine Tumor Research Advances (29 papers), Neuroblastoma Research and Treatments (20 papers) and Lung Cancer Research Studies (18 papers). Paweł Gut collaborates with scholars based in Poland, Germany and Greece. Paweł Gut's co-authors include Marek Ruchała, Agata Czarnywojtek, Nadia Sawicka‐Gutaj, Katarzyna Ziemnicka, Maciej Bączyk, Maria Gryczyńska, Elżbieta Wrotkowska, Joanna Waligórska‐Stachura, Kosma Woliński and Grzegorz Kamiński and has published in prestigious journals such as PLoS ONE, Journal of neurosurgery and Nutrients.

In The Last Decade

Paweł Gut

68 papers receiving 601 citations

Peers

Paweł Gut
Comparison fields: 5 of 85
  • Epidemiology 261
  • Oncology 225
  • Endocrinology, Diabetes and Metabolism 181
  • Neurology 162
  • Molecular Biology 104
Replace Juan Rivera with:
Juan Rivera Canada
Maria Vittoria Davì Italy
Ichiro Yamauchi Japan
Giulia Franchi Italy
Simon Schimmack Germany
Marie‐Gabrielle Dondon France
F. Illouz France
Lars Benson Sweden
Rachel S. van Leeuwaarde Netherlands
Anouk N.A. van der Horst‐Schrivers Netherlands
Juan Rivera Canada View profile →
Citations per field, relative to Paweł Gut
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Citations per year, relative to Paweł Gut
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Countries citing papers authored by Paweł Gut

Since Specialization
Citations

This map shows the geographic impact of Paweł Gut'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 Paweł Gut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paweł Gut more than expected).

Fields of papers citing papers by Paweł Gut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paweł Gut. 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 Paweł Gut. The network helps show where Paweł Gut may publish in the future.

Co-authorship network of co-authors of Paweł Gut

This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Gut. A scholar is included among the top collaborators of Paweł Gut 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 Paweł Gut. Paweł Gut 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 2
3 2
4 2
5 1
6 11
7 24
8 12
9 0
10 1
11 0
12 35
13 6
14 6
15 9
16 12
17 22
18 5
19
[The incidence of the thyroid microsomal autoantibodies in Alzheimer disease].
1
20
[Detection of pituitary autoantibody in patients with pituitary tumors and hypopituitarism].
4

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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