W Grzeszczak

4.7k total citations
298 papers, 3.2k citations indexed

About

W Grzeszczak is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, W Grzeszczak has authored 298 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Endocrinology, Diabetes and Metabolism, 47 papers in Pulmonary and Respiratory Medicine and 43 papers in Physiology. Recurrent topics in W Grzeszczak's work include Electrolyte and hormonal disorders (28 papers), Diabetes Treatment and Management (23 papers) and Pharmacological Effects and Toxicity Studies (21 papers). W Grzeszczak is often cited by papers focused on Electrolyte and hormonal disorders (28 papers), Diabetes Treatment and Management (23 papers) and Pharmacological Effects and Toxicity Studies (21 papers). W Grzeszczak collaborates with scholars based in Poland, Germany and United Kingdom. W Grzeszczak's co-authors include E Zukowska-Szczechowska, Dariusz Moczulski, B Łacka, Maciej Tomaszewski, Fadi J. Charchar, Marcin Zychma, Anna F. Dominiczak, Janusz Gumprecht, Krzysztof Strojek and F Kokot and has published in prestigious journals such as New England Journal of Medicine, Circulation and PLoS ONE.

In The Last Decade

W Grzeszczak

270 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W Grzeszczak Poland 31 969 637 614 587 429 298 3.2k
Tetsuya Babazono Japan 33 1.2k 1.2× 649 1.0× 1.2k 2.0× 632 1.1× 510 1.2× 143 3.3k
Susanna Morano Italy 35 1.1k 1.1× 533 0.8× 416 0.7× 681 1.2× 490 1.1× 132 3.6k
Sally M. Marshall United Kingdom 33 1.4k 1.5× 841 1.3× 975 1.6× 532 0.9× 637 1.5× 93 3.3k
Andreas Tomaschitz Austria 33 873 0.9× 859 1.3× 722 1.2× 452 0.8× 554 1.3× 80 2.9k
Giancarlo Tonolo Italy 34 974 1.0× 1.0k 1.6× 402 0.7× 501 0.9× 539 1.3× 107 3.2k
A. Elisabeth Hak Netherlands 24 1.6k 1.7× 672 1.1× 590 1.0× 548 0.9× 582 1.4× 42 4.1k
Sang Youb Han South Korea 33 718 0.7× 545 0.9× 916 1.5× 982 1.7× 541 1.3× 115 3.3k
Peter Hovind Denmark 37 1.4k 1.5× 1.0k 1.6× 1.7k 2.8× 579 1.0× 573 1.3× 72 4.2k
Hideyasu Kiyomoto Japan 32 1.3k 1.4× 1.3k 2.0× 733 1.2× 1.0k 1.7× 730 1.7× 106 3.9k
Alper Sönmez Türkiye 41 1.1k 1.2× 1.2k 1.9× 1.0k 1.7× 734 1.3× 918 2.1× 169 4.9k

Countries citing papers authored by W Grzeszczak

Since Specialization
Citations

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

Fields of papers citing papers by W Grzeszczak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W Grzeszczak

This figure shows the co-authorship network connecting the top 25 collaborators of W Grzeszczak. A scholar is included among the top collaborators of W Grzeszczak 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 W Grzeszczak. W Grzeszczak 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.
Brzoza, Zenon, et al.. (2020). Interleukin 1 Gene Polymorphisms Presumably Participate in the Pathogenesis of Chronic Spontaneous Autoreactive Urticaria. Journal of Interferon & Cytokine Research. 40(10). 497–500. 6 indexed citations
2.
Witkowska, Agnieszka, et al.. (2019). Mesenchymal Stem Cells—Potential Applications in Kidney Diseases. International Journal of Molecular Sciences. 20(10). 2462–2462. 59 indexed citations
3.
Balcerzyk, Anna, et al.. (2019). Relationship between rs4674344 CYP27A1 gene polymorphism and coronary artery disease in a Polish population. Kardiologia Polska. 78(1). 65–67. 2 indexed citations
4.
Nabrdalik, Katarzyna, Hanna Kwiendacz, Andrzej Tomasik, et al.. (2018). Diabetes-Related Knowledge of Polish National Mountain Leaders. High Altitude Medicine & Biology. 19(3). 237–243. 2 indexed citations
5.
Grzeszczak, W, et al.. (2016). Insuliny biopodobne jako alternatywa dla produktów oryginalnych. 2(4). 141–145. 1 indexed citations
6.
Schnell, Oliver, Jianping Weng, Wayne Huey‐Herng Sheu, et al.. (2016). Acarbose reduces body weight irrespective of glycemic control in patients with diabetes: results of a worldwide, non-interventional, observational study data pool. Journal of Diabetes and its Complications. 30(4). 628–637. 30 indexed citations
7.
Grzeszczak, W. (2015). Czy można zapobiegać rozwojowi cukrzycy typu 2 — co nowego opublikowano na ten temat na początku 2015 roku?. 12(4). 223–232. 1 indexed citations
8.
Dębska‐Ślizień, Alicja, Sylwia Małgorzewicz, Maria Dudziak, et al.. (2014). Cardiovascular risk in patients undergoing maintenance hemodialysis with Helixone® membrane: a multicenter randomized study. Polskie Archiwum Medycyny Wewnętrznej. 124(11). 593–598. 3 indexed citations
9.
Niemiec, Paweł, Sylwia Górczyńska-Kosiorz, Jolanta Krauze, et al.. (2012). The rs10757278 Polymorphism of the 9p21.3 Locus Is Associated with Premature Coronary Artery Disease in Polish Patients. Genetic Testing and Molecular Biomarkers. 16(9). 1080–1085. 10 indexed citations
10.
Schnell, Oliver, Hasan Alawi, Tadej Battelino, et al.. (2011). Addressing Schemes of Self-Monitoring of Blood Glucose in Type 2 Diabetes: A European Perspective and Expert Recommendation. Diabetes Technology & Therapeutics. 13(9). 959–965. 40 indexed citations
11.
12.
Wystrychowski, Grzegorz, Jerzy Chudek, E Zukowska-Szczechowska, Andrzej Więcek, & W Grzeszczak. (2008). Associations between calcineurin inhibitors and arterial compliance in kidney transplant recipients. Journal of Nephrology. 21(1). 81–92. 1 indexed citations
13.
Sieradzki, Jacek, et al.. (2006). Badanie PolDiab. Część I. Analiza leczenia cukrzycy w Polsce. Jagiellonian University Repository (Jagiellonian University). 3 indexed citations
14.
Sieradzki, Jacek, et al.. (2006). The PolDiab Study. Part I. Analysis of diabetes treatment in Poland. Clinical Diabetology. 7(1). 8–15. 4 indexed citations
15.
Grzeszczak, W, et al.. (2003). DINAMIC 2 study: results of comparison among various regions of Poland (III). Clinical Diabetology. 4(2). 111–124. 2 indexed citations
16.
Tomaszewski, Maciej, et al.. (2003). Beta2-adrenergic receptor gene and weight-related phenotypes in hypertension family-based and case-control association analysis. Journal of Hypertension. 21. 3 indexed citations
17.
Strojek, Krzysztof, W Grzeszczak, B Łacka, et al.. (1997). Nephropathy of type II diabetes: Evidence for hereditary factors?. Kidney International. 51(5). 1602–1607. 52 indexed citations
18.
Grzeszczak, W, et al.. (1993). [Levels of beta-2-microglobulin (B2MG) in blood serum of patients during the early phase after kidney transplantation].. PubMed. 90(4). 254–9. 2 indexed citations
19.
Zukowska-Szczechowska, E, et al.. (1991). [Plasma levels of adrenaline and noradrenaline, plasma renin activity and arterial blood pressure in patients after kidney transplantation].. PubMed. 86(4). 254–62. 3 indexed citations
20.
Kokot, F, S Pasyk, Andrzej Więcek, et al.. (1989). Atrial natriuretic peptide secretion in heart transplant patients. The International Journal of Artificial Organs. 12(5). 321–326. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tetsuya Babazono Breakdown of academic impact, for papers by Susanna Morano Breakdown of academic impact, for papers by Sally M. Marshall Breakdown of academic impact, for papers by Andreas Tomaschitz Breakdown of academic impact, for papers by Giancarlo Tonolo Breakdown of academic impact, for papers by A. Elisabeth Hak Breakdown of academic impact, for papers by Sang Youb Han Breakdown of academic impact, for papers by Peter Hovind Breakdown of academic impact, for papers by Hideyasu Kiyomoto Breakdown of academic impact, for papers by Alper Sönmez
Rankless by CCL
2026