Jan Gmiński

1.5k total citations
61 papers, 1.2k citations indexed

About

Jan Gmiński is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jan Gmiński has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Genetics and 14 papers in Cancer Research. Recurrent topics in Jan Gmiński's work include Connective tissue disorders research (16 papers), Protease and Inhibitor Mechanisms (9 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Jan Gmiński is often cited by papers focused on Connective tissue disorders research (16 papers), Protease and Inhibitor Mechanisms (9 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Jan Gmiński collaborates with scholars based in Poland, Ukraine and United States. Jan Gmiński's co-authors include Konrad A. Szychowski, Kamila Rybczyńska‐Tkaczyk, Bartosz Skóra, Krzysztof Siemianowicz, Wojciech Wojakowski, Anna K. Wójtowicz, Danylo Kaminskyy, Roman Lesyk, Marian Dróżdż and Katarzyna Gaweł‐Bęben and has published in prestigious journals such as Scientific Reports, Environmental Science and Pollution Research and European Journal of Medicinal Chemistry.

In The Last Decade

Jan Gmiński

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Gmiński Poland 22 422 163 161 149 147 61 1.2k
Alessandra Lourenço Cecchini Brazil 26 702 1.7× 174 1.1× 130 0.8× 229 1.5× 91 0.6× 72 2.1k
Takayoshi Imazawa Japan 26 593 1.4× 272 1.7× 131 0.8× 104 0.7× 73 0.5× 120 1.8k
Hyoung-Chin Kim South Korea 23 648 1.5× 132 0.8× 163 1.0× 68 0.5× 56 0.4× 77 1.7k
Takashi Yuri Japan 22 667 1.6× 220 1.3× 99 0.6× 199 1.3× 55 0.4× 92 1.7k
Xiaolei Ye China 21 728 1.7× 246 1.5× 100 0.6× 71 0.5× 107 0.7× 55 1.6k
Chaofeng Zhang China 23 597 1.4× 116 0.7× 110 0.7× 94 0.6× 61 0.4× 74 1.4k
Umashanker Navik India 19 796 1.9× 104 0.6× 97 0.6× 107 0.7× 82 0.6× 48 2.0k
Toshiyuki Kimura Japan 23 655 1.6× 64 0.4× 225 1.4× 67 0.4× 258 1.8× 83 1.6k
Hailian Wang China 24 541 1.3× 149 0.9× 299 1.9× 125 0.8× 60 0.4× 76 1.5k

Countries citing papers authored by Jan Gmiński

Since Specialization
Citations

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

Fields of papers citing papers by Jan Gmiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Gmiński

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Gmiński. A scholar is included among the top collaborators of Jan Gmiński 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 Jan Gmiński. Jan Gmiński 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.
Szychowski, Konrad A., Bartosz Skóra, Anna Kryshchyshyn‐Dylevych, et al.. (2021). 4-Thiazolidinone-based derivatives do not affect differentiation of mouse embryo fibroblasts (3T3-L1 cell line) into adipocytes. Chemico-Biological Interactions. 345. 109538–109538. 10 indexed citations
2.
Skóra, Bartosz, Tomasz Piechowiak, Konrad A. Szychowski, & Jan Gmiński. (2021). Entrapment of silver nanoparticles in L-α-phosphatidylcholine/cholesterol-based liposomes mitigates the oxidative stress in human keratinocyte (HaCaT) cells. European Journal of Pharmaceutics and Biopharmaceutics. 166. 163–174. 22 indexed citations
3.
Ścibior, Agnieszka, et al.. (2020). In vitro effect of vanadyl sulfate on cultured primary astrocytes: cell viability and oxidative stress markers.. Journal of Applied Toxicology. 40(6). 737–747. 7 indexed citations
4.
Szychowski, Konrad A., Bartosz Skóra, Anna Kryshchyshyn‐Dylevych, et al.. (2020). Induction of Cyp450 enzymes by 4-thiazolidinone-based derivatives in 3T3-L1 cells in vitro. Naunyn-Schmiedeberg s Archives of Pharmacology. 394(5). 915–927. 11 indexed citations
5.
Szychowski, Konrad A., et al.. (2020). Paracetamol – An old drug with new mechanisms of action. Clinical and Experimental Pharmacology and Physiology. 48(1). 3–19. 114 indexed citations
6.
Szychowski, Konrad A., et al.. (2020). Elastin-derived peptide VGVAPG decreases differentiation of mouse embryo fibroblast (3T3-L1) cells into adipocytes. Adipocyte. 9(1). 234–245. 12 indexed citations
7.
Szychowski, Konrad A., et al.. (2020). Inonotus obliquus – from folk medicine to clinical use. Journal of Traditional and Complementary Medicine. 11(4). 293–302. 68 indexed citations
8.
Szychowski, Konrad A. & Jan Gmiński. (2019). The Elastin-Derived Peptide VGVAPG Does Not Activate the Inflammatory Process in Mouse Cortical Astrocytes In Vitro. Neurotoxicity Research. 37(1). 136–145. 14 indexed citations
9.
10.
Szychowski, Konrad A., et al.. (2019). Elastin-Derived Peptide VGVAPG Affects Production and Secretion of Testosterone in Mouse Astrocyte In Vitro. Neurochemical Research. 45(2). 385–394. 6 indexed citations
11.
Szychowski, Konrad A. & Jan Gmiński. (2019). Specific role of N-methyl-D-aspartate (NMDA) receptor in elastin-derived VGVAPG peptide-dependent calcium homeostasis in mouse cortical astrocytes in vitro. Scientific Reports. 9(1). 20165–20165. 13 indexed citations
12.
Szychowski, Konrad A. & Jan Gmiński. (2019). The VGVAPG Peptide Regulates the Production of Nitric Oxide Synthases and Reactive Oxygen Species in Mouse Astrocyte Cells In Vitro. Neurochemical Research. 44(5). 1127–1137. 22 indexed citations
13.
Szychowski, Konrad A., Danylo Kaminskyy, Anna Kryshchyshyn‐Dylevych, et al.. (2019). Anticancer properties of 5Z-(4-fluorobenzylidene)-2-(4-hydroxyphenylamino)-thiazol-4-one. Scientific Reports. 9(1). 10609–10609. 23 indexed citations
14.
Szychowski, Konrad A., et al.. (2017). Anticancer properties of 4-thiazolidinone derivatives depend on peroxisome proliferator-activated receptor gamma (PPARγ). European Journal of Medicinal Chemistry. 141. 162–168. 47 indexed citations
15.
Siemianowicz, Krzysztof, et al.. (2001). Fibronectin gene polymorphism in patients with lung cancer. Oncology Reports. 8(6). 1289–92. 5 indexed citations
16.
Gmiński, Jan, et al.. (1993). The influence of inorganic silicon (Si) on pituitary-thyroid axis. Biological Trace Element Research. 37(2-3). 101–106. 1 indexed citations
17.
Węglarz, Ludmiła, et al.. (1992). Effect of elastin peptides on the activities of antioxidant enzymes in fibroblasts.. PubMed. 69(277). 87–90. 1 indexed citations
18.
Gmiński, Jan, et al.. (1991). Modulation of elastase-like activity in fibroblasts stimulated with elastin peptides. Biochemical Medicine and Metabolic Biology. 45(2). 254–257. 4 indexed citations
19.
Gmiński, Jan, et al.. (1991). Blood histamine level in rabbits experimentally immunized with soluble elastin. Experimental Pathology. 42(1). 33–35. 1 indexed citations
20.
Gmiński, Jan, et al.. (1991). Evaluation of elastin metabolism in children from families with high risk of atherosclerosis. Atherosclerosis. 91(3). 185–189. 15 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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