Piotr Kossoń

1.1k total citations
55 papers, 901 citations indexed

About

Piotr Kossoń is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Piotr Kossoń has authored 55 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 41 papers in Cellular and Molecular Neuroscience and 12 papers in Physiology. Recurrent topics in Piotr Kossoń's work include Neuropeptides and Animal Physiology (41 papers), Receptor Mechanisms and Signaling (23 papers) and Chemical Synthesis and Analysis (17 papers). Piotr Kossoń is often cited by papers focused on Neuropeptides and Animal Physiology (41 papers), Receptor Mechanisms and Signaling (23 papers) and Chemical Synthesis and Analysis (17 papers). Piotr Kossoń collaborates with scholars based in Poland, Belgium and United States. Piotr Kossoń's co-authors include Andrzej W. Lipkowski, Aleksandra Misicka, Dirk Tourwé, Jakub Fichna, Peter W. Schiller, Nga N. Chung, Steven Ballet, Anna Janecka, Piotr F. J. Lipiński and Paweł M. Boguszewski and has published in prestigious journals such as Chemical Communications, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Piotr Kossoń

55 papers receiving 888 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Piotr Kossoń Poland 19 577 524 202 90 52 55 901
Michael T. Jacobsen United States 15 594 1.0× 156 0.3× 319 1.6× 159 1.8× 61 1.2× 21 1.1k
Armando J. de Jesus United States 7 321 0.6× 212 0.4× 144 0.7× 17 0.2× 23 0.4× 9 657
Robert M. Bieganski United States 7 518 0.9× 460 0.9× 436 2.2× 31 0.3× 14 0.3× 7 1.6k
Katsuhiko Nakata Japan 18 322 0.6× 144 0.3× 144 0.7× 42 0.5× 22 0.4× 48 1.3k
John O’Reilly United Kingdom 17 612 1.1× 239 0.5× 69 0.3× 44 0.5× 91 1.8× 32 923
Matthew A. Churchward Canada 17 598 1.0× 179 0.3× 158 0.8× 18 0.2× 17 0.3× 30 1.0k
Makoto Matsuda Japan 19 711 1.2× 251 0.5× 121 0.6× 35 0.4× 84 1.6× 69 1.2k
N. S. Linkova Russia 17 501 0.9× 89 0.2× 270 1.3× 24 0.3× 52 1.0× 177 1.1k
Ji Hyun Choi South Korea 17 459 0.8× 150 0.3× 133 0.7× 24 0.3× 31 0.6× 42 1.1k
Wentao Chen China 22 897 1.6× 73 0.1× 204 1.0× 355 3.9× 53 1.0× 55 1.5k

Countries citing papers authored by Piotr Kossoń

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Kossoń

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piotr Kossoń

This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Kossoń. A scholar is included among the top collaborators of Piotr Kossoń 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 Piotr Kossoń. Piotr Kossoń 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
1.
Kijewska, Monika, et al.. (2024). Stapling of leu-enkephalin analogs with bifunctional reagents for prolonged analgesic activity. Chemical Communications. 60(22). 3023–3026. 3 indexed citations
2.
Kossoń, Piotr, et al.. (2023). Gαi-derived peptide binds the µ-opioid receptor. Pharmacological Reports. 75(2). 465–473. 2 indexed citations
3.
4.
Lipiński, Piotr F. J., Piotr Kossoń, Piotr Roszkowski, et al.. (2019). Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis. Molecules. 24(4). 740–740. 42 indexed citations
5.
Lipiński, Piotr F. J., Edina Szűcs, Małgorzata Jarończyk, et al.. (2019). Affinity of fentanyl and its derivatives for the σ1-receptor. MedChemComm. 10(7). 1187–1191. 12 indexed citations
6.
Boguszewski, Paweł M., et al.. (2018). Pramipexole and Fingolimod exert neuroprotection in a mouse model of Parkinson's disease by activation of sphingosine kinase 1 and Akt kinase. Neuropharmacology. 135. 139–150. 74 indexed citations
7.
Stachyra, Anna, et al.. (2017). Immunogenicity of DNA Vaccine against H5N1 Containing Extended Kappa B Site: In Vivo Study in Mice and Chickens. Frontiers in Immunology. 8. 1012–1012. 2 indexed citations
8.
Kleczkowska, Patrycja, Emmanuel Hermans, Piotr Kossoń, et al.. (2016). Antinociceptive effect induced by a combination of opioid and neurotensin moieties vs. their hybrid peptide [Ile 9 ]PK20 in an acute pain treatment in rodents. Brain Research. 1648(Pt A). 172–180. 16 indexed citations
9.
Lipiński, Piotr F. J., Piotr Kossoń, Anna Leśniak, et al.. (2016). Hydrazone Linker as a Useful Tool for Preparing Chimeric Peptide/Nonpeptide Bifunctional Compounds. ACS Medicinal Chemistry Letters. 8(1). 73–77. 27 indexed citations
10.
11.
Krizbai, István A., Anna Leśniak, M Beresewicz, et al.. (2014). Role of the blood-brain barrier in differential response to opioid peptides and morphine in mouse lines divergently bred for high and low swim stress-induced analgesia. Acta Neurobiologiae Experimentalis. 74(1). 26–32. 13 indexed citations
12.
Kleczkowska, Patrycja, Engin Bojnik, Anna Leśniak, et al.. (2013). Identification of Dmt-D-Lys-Phe-Phe-OH as a highly antinociceptive tetrapeptide metabolite of the opioid-neurotensin hybrid peptide PK20. Pharmacological Reports. 65(4). 836–846. 12 indexed citations
13.
Guillemyn, Karel, Patrycja Kleczkowska, Alexandre Novoa, et al.. (2012). In vivo antinociception of potent mu opioid agonist tetrapeptide analogues and comparison with a compact opioid agonist - neurokinin 1 receptor antagonist chimera. Molecular Brain. 5(1). 4–4. 26 indexed citations
14.
Kosson, Dariusz, Piotr Kossoń, Iwona Bonney, et al.. (2008). Intrathecal antinociceptive interaction between the NMDA antagonist ketamine and the opioids, morphine and biphalin. European Journal of Pain. 12(5). 611–616. 33 indexed citations
15.
Kossoń, Piotr, et al.. (2007). Syntheses of Fmoc-alfa-aminoalkyltetrazoles and Tetrazole Analogue of Leu-enkephalin. Polish Journal of Chemistry. 81(7). 1327–1334. 2 indexed citations
16.
Kossoń, Piotr, Iwona Bonney, Daniel B. Carr, & Andrzej W. Lipkowski. (2005). Endomorphins interact with tachykinin receptors. Peptides. 26(9). 1667–1669. 14 indexed citations
17.
Kruszyński, R., Jakub Fichna, Nga N. Chung, et al.. (2005). Novel endomorphin‐2 analogs with μ‐opioid receptor antagonist activity. Journal of Peptide Research. 66(3). 125–131. 11 indexed citations
18.
Fichna, Jakub, Anna Janecka, Piotr Kossoń, & Helmut R. Maëcke. (2004). Synthesis of HYNIC- and DOTA-Conjugates with mi-Opioid Receptor Ligands: Morphiceptin and Endomorphin-2. Polish Journal of Chemistry. 78(7). 951–959. 3 indexed citations
19.
Fichna, Jakub, Jean-Claude do-Rego, Piotr Kossoń, Jean Costentin, & Anna Janecka. (2004). Characterization of antinociceptive activity of novel endomorphin-2 and morphiceptin analogs modified in the third position. Biochemical Pharmacology. 69(1). 179–185. 22 indexed citations
20.
Lipkowski, Andrzej W., et al.. (2002). Biological properties of a new fluorescent biphalin fragment analogue. Life Sciences. 70(8). 893–897. 9 indexed citations

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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