Daniel Bąk

10 papers receiving 327 citations

Peers

Daniel Bąk
Comparison fields: 5 of 32
  • Surgery 250
  • Oncology 26
  • Cell Biology 13
  • Pulmonary and Respiratory Medicine 28
  • Reproductive Medicine 6
Replace Ahsan U. Shah with:
Ahsan U. Shah United States
Valérie Dekeuleneer Belgium
Kimberly M. Stello United States
Brian J. Pottorf United States
Mariano Vélez France
Marie Laure Raffin‐Sanson France
Brooke A. Sullivan United States
Håkan Borg Sweden
Andrzej Wysocki Poland
Anne Marie O’Donnell Ireland
Daniel Bąk relative to Ahsan U. Shah United States Ahsan U. Shah's profile →
Citations per field
00.5×2×4×6×
Ahsan U. Shah · 1×
Citations per year

Countries citing papers authored by Daniel Bąk

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bąk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel Bąk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Bąk Line = papers co-authored together Daniel Bąk links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2013240
2 200663
3 201015
4 20106
5
Molecular analysis of defects in the CFTR gene and AZF locus of the Y chromosome in male infertility.
20065
6 20074
7 20051
8
[Eating disorders in men].
20091
9
Eating disorders in men
20101
10 20151
11 20161
12 20181
13 20231

About Daniel Bąk

Daniel Bąk is a scholar working on Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Social Psychology, Clinical Psychology and Surgery, having authored 13 papers that have together received 340 indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (3 papers), Cystic Fibrosis Research Advances (3 papers), Genetic Neurodegenerative Diseases (2 papers), Eating Disorders and Behaviors (2 papers), Gender and Feminist Studies (1 paper), Heat shock proteins research (1 paper), Alzheimer's disease research and treatments (1 paper) and Sperm and Testicular Function (1 paper). The work is most often cited by research in Surgery (250 citations), Oncology (26 citations), Cell Biology (13 citations), Pulmonary and Respiratory Medicine (28 citations) and Reproductive Medicine (6 citations). Daniel Bąk has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Agnieszka Sobczyńska‐Tomaszewska, Jerzy Bal, Mikolaj Teisseyre, Jerzy Socha, Grzegorz Oracz, Tadeusz Mazurczak, Marek Zagulski, Michał I. Milewski, Dorota Sands and Julian Zielenski. Their work appears in journals such as Journal of Pediatric Gastroenterology and Nutrition, Cell Biology International, Nature Genetics, Cellular & Molecular Biology Letters and European Journal of Cell Biology.

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.

Explore authors with similar magnitude of impact