B Łacka

555 total citations
24 papers, 424 citations indexed

About

B Łacka is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, B Łacka has authored 24 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in B Łacka's work include Hormonal Regulation and Hypertension (7 papers), Renin-Angiotensin System Studies (3 papers) and Birth, Development, and Health (2 papers). B Łacka is often cited by papers focused on Hormonal Regulation and Hypertension (7 papers), Renin-Angiotensin System Studies (3 papers) and Birth, Development, and Health (2 papers). B Łacka collaborates with scholars based in Poland, Germany and United Kingdom. B Łacka's co-authors include W Grzeszczak, E Zukowska-Szczechowska, Maciej Tomaszewski, Fadi J. Charchar, Anna F. Dominiczak, Krzysztof Strojek, Christine K. Keller, Eberhard Ritz, Marcin Zychma and Niall Anderson and has published in prestigious journals such as New England Journal of Medicine, Kidney International and Hypertension.

In The Last Decade

B Łacka

21 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B Łacka Poland 10 146 144 106 99 63 24 424
Maria G. Dekker Canada 9 201 1.4× 134 0.9× 60 0.6× 70 0.7× 239 3.8× 9 474
Kotoko Kosuge Japan 13 120 0.8× 116 0.8× 62 0.6× 97 1.0× 13 0.2× 20 365
Sharon L. Reilly United States 11 196 1.3× 71 0.5× 157 1.5× 56 0.6× 52 0.8× 12 466
Ruth Ann Barkley United States 5 102 0.7× 105 0.7× 107 1.0× 88 0.9× 15 0.2× 7 353
I. Charles Sand United States 7 211 1.4× 73 0.5× 46 0.4× 152 1.5× 37 0.6× 9 460
Soaira G. Mendoza United States 10 310 2.1× 119 0.8× 38 0.4× 58 0.6× 52 0.8× 11 582
Rieko Hayaishi-Okano Japan 8 247 1.7× 163 1.1× 39 0.4× 65 0.7× 41 0.7× 8 501
D.A. Terragno United States 5 58 0.4× 74 0.5× 54 0.5× 63 0.6× 34 0.5× 6 458
Chii-Yuan Jeng Taiwan 11 197 1.3× 93 0.6× 39 0.4× 95 1.0× 19 0.3× 18 431
Megan E. Rudock United States 9 131 0.9× 72 0.5× 141 1.3× 174 1.8× 89 1.4× 10 572

Countries citing papers authored by B Łacka

Since Specialization
Citations

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

Fields of papers citing papers by B Łacka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B Łacka

This figure shows the co-authorship network connecting the top 25 collaborators of B Łacka. A scholar is included among the top collaborators of B Łacka 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 B Łacka. B Łacka 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.
Grzeszczak, W, et al.. (2009). Reduced insulin-mediated glucose uptake by euglycemic clamp in offspring of patients with type 2 diabetes. Experimental and Clinical Endocrinology & Diabetes. 106(6). 470–474.
2.
Łacka, B, Maciej Tomaszewski, E Zukowska-Szczechowska, & W Grzeszczak. (2006). Monogenic Hypertension. PubMed. 60(12). 1181–1181.
3.
Tomaszewski, Maciej, Fadi J. Charchar, B Łacka, et al.. (2004). Epistatic Interaction Between β 2 -Adrenergic Receptor and Neuropeptide Y Genes Influences LDL-Cholesterol in Hypertension. Hypertension. 44(5). 689–694. 14 indexed citations
4.
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
5.
Charchar, Fadi J., Maciej Tomaszewski, Sandosh Padmanabhan, et al.. (2002). Independent Y chromosome markers associated with blood pressure and testosterone levels. 1 indexed citations
6.
Gumprecht, Janusz, et al.. (2002). Angiotensin I-converting enzyme and chymase gene polymorphisms - relationship to left ventricular mass in type 2 diabetes patients.. PubMed. 8(8). CR603–6. 9 indexed citations
7.
Tomaszewski, Maciej, Nick J.R. Brain, Fadi J. Charchar, et al.. (2002). Essential Hypertension and β 2 -Adrenergic Receptor Gene. Hypertension. 40(3). 286–291. 58 indexed citations
8.
Charchar, Fadi J., Maciej Tomaszewski, Sandosh Padmanabhan, et al.. (2002). The Y Chromosome Effect on Blood Pressure in Two European Populations. Hypertension. 39(2). 353–356. 69 indexed citations
9.
Zychma, Marcin, E Zukowska-Szczechowska, B Łacka, & W Grzeszczak. (2000). Angiotensinogen M235T and chymase gene CMA/B polymorphisms are not associated with nephropathy in type II diabetes. Nephrology Dialysis Transplantation. 15(12). 1965–1970. 13 indexed citations
10.
Tomaszewski, Maciej, et al.. (1999). [Some aspects of non-pharmacologic treatment of hypertension].. PubMed. 56(9). 579–83. 2 indexed citations
11.
Łacka, B, et al.. (1998). [Lack of relationship between angiotensinogen gene m235t polymorphism and gene insertion/deletion (I/D-intron 16) and Pst I RFLP (P/M-intron 7) polymorphisms of the angiotensin I converting enzyme(ACE) gene and the development of H-gestosis. Preliminary results].. PubMed. 100(1). 19–26. 5 indexed citations
12.
Zukowska-Szczechowska, E, W Grzeszczak, & B Łacka. (1998). [The role of oxidative stress in development of diabetic angiopathies].. PubMed. 51 Suppl 2. 35–9. 2 indexed citations
13.
Grzeszczak, W, Marcin Zychma, B Łacka, & E Zukowska-Szczechowska. (1998). Angiotensin I-converting enzyme gene polymorphisms. Journal of the American Society of Nephrology. 9(9). 1664–1669. 31 indexed citations
14.
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
15.
Łacka, B & W Grzeszczak. (1997). [The role of free radicals in the pathogenesis of essential hypertension].. PubMed. 98(7). 67–75. 2 indexed citations
16.
Strojek, Krzysztof, et al.. (1995). Increased prevalence of salt sensitivity of blood pressure in IDDM with and without microalbuminuria. Diabetologia. 38(12). 1443–1448. 42 indexed citations
17.
Grzeszczak, W, et al.. (1995). [Does an association between angiotensin I converting enzyme gene polymorphism and the prevalence of diabetic nephropathy in patients with diabetes type II exist?].. PubMed. 94(3). 214–8. 1 indexed citations
18.
Grzeszczak, W, et al.. (1994). [Lipid peroxidation, antioxidant enzyme activity and trace element concentration in II and III trimester of pregnancy in pregnant women with diabetes].. PubMed. 92(4). 313–21. 13 indexed citations
19.
Grzeszczak, W, et al.. (1993). [Level of beta endorphins and insulin in blood of obese subjects. Effect of surgical treatment for obesity on higher exchange parameters].. PubMed. 90(1). 19–25. 2 indexed citations
20.
Łacka, B, et al.. (1993). The Pathogenesis and Treatment of Kidney Stones. New England Journal of Medicine. 328(6). 444–445. 44 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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