Jerzy Pałka

162 papers receiving 3.0k citations

Peers

Jerzy Pałka
Comparison fields: 5 of 126
  • Cancer Research 922
  • Immunology and Allergy 293
  • Oncology 1.1k
  • Rehabilitation 135
  • Cellular and Molecular Neuroscience 343
Replace Arkadiusz Surażyński with:
Arkadiusz Surażyński Poland
Hansoo Lee South Korea
Masakiyo Sakaguchi Japan
Pedro Miguel Lacal Italy
Dooil Jeoung South Korea
Latifa Bakiri Austria
Fredika M. Robertson United States
Payaningal R. Somanath United States
Paolo Cirri Italy
Borhane Annabi Canada
Jerzy Pałka relative to Arkadiusz Surażyński Poland Arkadiusz Surażyński's profile →
Citations per field
00.5×
Arkadiusz Surażyński · 1×
Citations per year

Countries citing papers authored by Jerzy Pałka

Since Specialization
Citations

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

Fields of papers citing papers by Jerzy Pałka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jerzy Pałka, 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 Jerzy Pałka Line = papers co-authored together Jerzy Pałka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019141
2 1997141
3 2008136
4 201693
5 199087
6 201871
7 200269
8 200666
9 200356
10 200154
11 200453
12 200050
13
Inhibition of prolidase activity by non-steroid antiinflammatory drugs in cultured human skin fibroblasts.
199748
14 199146
15
Modulation of prolidase activity during in vitro aging of human skin fibroblasts the role of extracellular matrix collagen.
199643
16 200642
17 202042
18 200741
19 200039
20 201038

About Jerzy Pałka

Jerzy Pałka is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Allergy and Genetics, having authored 165 papers that have together received 3.1k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (76 papers), Protease and Inhibitor Mechanisms (49 papers), Cell Adhesion Molecules Research (37 papers), Ubiquitin and proteasome pathways (33 papers), Neuropeptides and Animal Physiology (15 papers), Cancer, Hypoxia, and Metabolism (15 papers), Growth Hormone and Insulin-like Growth Factors (15 papers) and Connective tissue disorders research (14 papers). The work is most often cited by research in Cancer Research (922 citations), Immunology and Allergy (293 citations), Oncology (1.1k citations), Rehabilitation (135 citations) and Cellular and Molecular Neuroscience (343 citations). Jerzy Pałka has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Ewa Karna, Arkadiusz Surażyński, Wojciech Miltyk, Sławomir Wołczyński, James M. Phang, Łukasz Szoka, Marzanna Cechowska‐Pasko, Ilona Zaręba, E Bańkowski and Beverly Peterkofsky. Their work appears in journals such as Molecular and Cellular Biochemistry, European Journal of Pharmacology, International Journal of Molecular Sciences, International Journal of Experimental Pathology and Molecules.

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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