J Naskalski

1.5k total citations
61 papers, 1.1k citations indexed

About

J Naskalski is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, J Naskalski has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Physiology. Recurrent topics in J Naskalski's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), Diabetes Management and Research (8 papers) and RNA and protein synthesis mechanisms (6 papers). J Naskalski is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), Diabetes Management and Research (8 papers) and RNA and protein synthesis mechanisms (6 papers). J Naskalski collaborates with scholars based in Poland, United States and Finland. J Naskalski's co-authors include J Sznajd, Bogdan Solnica, Ryszard Drożdż, Jacek Sieradzki, Jan Maciej Zgliczyński, Teresa Stelmaszyńska, Grzegorz Bartosz, Beata Kuśnierz‐Cabala, Danuta Fedak and Laşse Larsson and has published in prestigious journals such as Nature, Analytical Biochemistry and European Journal of Biochemistry.

In The Last Decade

J Naskalski

56 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Naskalski Poland 18 279 267 256 226 154 61 1.1k
Barbara Coles United Kingdom 19 590 2.1× 124 0.5× 332 1.3× 327 1.4× 208 1.4× 33 1.5k
Livia Barenghi Italy 16 325 1.2× 114 0.4× 309 1.2× 90 0.4× 143 0.9× 39 1.2k
Akihiko Hirata Japan 20 350 1.3× 216 0.8× 235 0.9× 112 0.5× 120 0.8× 36 1.2k
Rita Müller Switzerland 19 625 2.2× 297 1.1× 203 0.8× 152 0.7× 410 2.7× 49 1.8k
Antonio Damato Italy 21 368 1.3× 130 0.5× 241 0.9× 223 1.0× 114 0.7× 40 1.3k
Jamshid Karimi Iran 24 480 1.7× 216 0.8× 195 0.8× 148 0.7× 106 0.7× 82 1.5k
Karl Stangl Germany 22 606 2.2× 113 0.4× 201 0.8× 173 0.8× 162 1.1× 73 2.0k
Bilian Yu China 23 413 1.5× 274 1.0× 384 1.5× 133 0.6× 407 2.6× 62 1.6k
Mark J Magera United States 19 874 3.1× 252 0.9× 258 1.0× 99 0.4× 114 0.7× 25 1.8k

Countries citing papers authored by J Naskalski

Since Specialization
Citations

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

Fields of papers citing papers by J Naskalski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Naskalski

This figure shows the co-authorship network connecting the top 25 collaborators of J Naskalski. A scholar is included among the top collaborators of J Naskalski 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 J Naskalski. J Naskalski 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.
Dembińska-Kieć, A. & J Naskalski. (2017). Diagnostyka laboratoryjna z elementami biochemii klinicznej. Jagiellonian University Repository (Jagiellonian University). 9 indexed citations
2.
Gawlik, Katarzyna, J Naskalski, Danuta Fedak, et al.. (2015). Markers of Antioxidant Defense in Patients with Type 2 Diabetes. Oxidative Medicine and Cellular Longevity. 2016(1). 2352361–2352361. 74 indexed citations
3.
Naskalski, J, Maria Kapusta, Danuta Fedak, et al.. (2009). Effect of Hemodialysis on Acid Leukocyte-Type Ribonuclease, Alkaline Ribonuclease and Polymorphonuclear Elastase Serum Levels in Patients with End-Stage Renal Disease. Nephron Clinical Practice. 112(4). c248–c254. 3 indexed citations
4.
Klocek, Marek, et al.. (2009). Modification of diet in renal disease (MDRD) and Cockcroft-Gault equations in estimation of glomerular filtration rate in patients with coronary artery disease and hypertension. Arterial Hypertension. 13(2). 97–105.
5.
Kuśnierz‐Cabala, Beata, Danuta Galicka-Latała, & J Naskalski. (2007). [Diagnostic value of serum amyloid A protein (SAA) determination].. PubMed. 64(2). 115–7. 1 indexed citations
6.
Solnica, Bogdan, et al.. (2007). Analytical evaluation of the Optium Xido blood glucose meter. Clinical Chemistry and Laboratory Medicine (CCLM). 46(1). 143–7. 2 indexed citations
7.
Konduracka, Ewa, Danuta Galicka-Latała, Grażyna Cieślik, et al.. (2007). Effect of atorvastatin on endothelial function and inflammation in long‐duration type 1 diabetic patients without coronary heart disease and arterial hypertension. Diabetes Obesity and Metabolism. 10(9). 719–725. 30 indexed citations
8.
9.
Kuśnierz‐Cabala, Beata, J Naskalski, & Danuta Galicka-Latała. (2005). [Role of neopterin in clinical diagnostics].. PubMed. 62(7). 716–9. 1 indexed citations
10.
Solnica, Bogdan & J Naskalski. (2005). Quality Control of SMBG in Clinical Practice. Scandinavian Journal of Clinical and Laboratory Investigation. 65(sup240). 80–85. 21 indexed citations
11.
Solnica, Bogdan, J Naskalski, & Jacek Sieradzki. (2003). Analytical performance of glucometers used for routine glucose self-monitoring of diabetic patients. Clinica Chimica Acta. 331(1-2). 29–35. 75 indexed citations
12.
Wybrańska, Iwona, et al.. (2003). The TNF- α Gene NcoI Polymorphism at Position –308 of the Promoter Influences Insulin Resistance, and Increases Serum Triglycerides after Postprandial Lipaemia in Familiar Obesity. Clinical Chemistry and Laboratory Medicine (CCLM). 41(4). 501–10. 26 indexed citations
13.
Naskalski, J, Janusz Marcinkiewicz, & Ryszard Drożdż. (2002). Myeloperoxidase-mediated Protein Oxidation: Its Possible Biological Functions. Clinical Chemistry and Laboratory Medicine (CCLM). 40(5). 463–8. 26 indexed citations
14.
Naskalski, J & Grzegorz Bartosz. (2001). Oxidative modifications of protein structures. Advances in clinical chemistry. 35. 161–253. 45 indexed citations
15.
Solnica, Bogdan, J Naskalski, & Jacek Sieradzki. (2001). The Evaluation of Analytical Performance of the Precision G Point-of-Care Glucometer. Clinical Chemistry and Laboratory Medicine (CCLM). 39(12). 1283–6. 14 indexed citations
16.
Naskalski, J, et al.. (2001). Preanalytical factors in human plasma ascorbate assay. Clinica Chimica Acta. 314(1-2). 237–239. 14 indexed citations
17.
Jolivalt, Corinne G., Brigitte Leininger‐Muller, Ryszard Drożdż, J Naskalski, & Gérard Siest. (1996). Apolipoprotein E is highly susceptible to oxidation by myeloperoxidase, an enzyme present in the brain. Neuroscience Letters. 210(1). 61–64. 44 indexed citations
18.
Drożdż, Ryszard, Ibeth Guevara, & J Naskalski. (1995). Immunoglobulin cleavage by hypochlorous acid treatment. Clinica Chimica Acta. 236(2). 155–160. 9 indexed citations
19.
Naskalski, J & Vladimír Palička. (1994). Teaching clinical chemistry in central European countries — past and present. Clinica Chimica Acta. 232(1-2). 125–132.
20.
Naskalski, J. (1972). A comparison of the isoenzymic patterns of urinary ribonucleases in healthy subjects and patients with chronic granulocytic leukemia.. PubMed. 11(4). 827–34. 2 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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