Marcin Zychma

2.4k total citations · 1 hit paper
24 papers, 1.8k citations indexed

About

Marcin Zychma is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marcin Zychma has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Molecular Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marcin Zychma's work include Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Renin-Angiotensin System Studies (6 papers). Marcin Zychma is often cited by papers focused on Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Renin-Angiotensin System Studies (6 papers). Marcin Zychma collaborates with scholars based in Poland, United States and Denmark. Marcin Zychma's co-authors include Julio Rosenstock, Wolfgang E. Schmidt, John B. Buse, Lawrence Blonde, Giorgio Sesti, Eduard Montanya, Jason Brett, W Grzeszczak, E Zukowska-Szczechowska and Janusz Gumprecht and has published in prestigious journals such as The Lancet, Diabetes Care and Kidney International.

In The Last Decade

Marcin Zychma

24 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Liraglutide once a day versus exenatide twice a day for type 2 diabetes: a 26-week randomised, parallel-group, multinational, open-label trial (LEAD-6)

2009 1.2k citations John B. Buse, Julio Rosenstock et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcin Zychma Poland	14	1.5k	799	566	374	144	24	1.8k
Maria Gerasimova United States	9	974 0.7×	528 0.7×	600 1.1×	154 0.4×	113 0.8×	12	1.4k
Sylvia Shenouda United States	13	621 0.4×	909 1.1×	239 0.4×	199 0.5×	94 0.7×	17	1.6k
Milan Zdravkovic Denmark	15	2.9k 2.0×	1.6k 2.0×	1.2k 2.1×	725 1.9×	275 1.9×	17	3.2k
Ira Gantz United States	12	1.8k 1.3×	767 1.0×	694 1.2×	246 0.7×	137 1.0×	24	2.3k
Deborah A. Robins United States	17	1.8k 1.2×	974 1.2×	622 1.1×	650 1.7×	629 4.4×	27	2.7k
Søren Rasmussen Denmark	27	2.6k 1.8×	951 1.2×	1.0k 1.8×	476 1.3×	309 2.1×	87	3.2k
Tsukasa Morii Japan	18	553 0.4×	359 0.4×	327 0.6×	125 0.3×	260 1.8×	29	1.3k
A Casolaro Italy	16	799 0.5×	308 0.4×	382 0.7×	74 0.2×	220 1.5×	26	1.2k
G Lübben Germany	20	851 0.6×	717 0.9×	370 0.7×	87 0.2×	203 1.4×	40	1.6k
Luminita H. Pojoga United States	23	855 0.6×	445 0.6×	349 0.6×	159 0.4×	159 1.1×	59	1.4k

Countries citing papers authored by Marcin Zychma

Since Specialization

Citations

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

Fields of papers citing papers by Marcin Zychma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Zychma

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Zychma. A scholar is included among the top collaborators of Marcin Zychma 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 Marcin Zychma. Marcin Zychma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Haluzı́k, Martin, Adam Krętowski, Krzysztof Strojek, et al.. (2018). Perspectives of Patients with Insulin-Treated Type 1 and Type 2 Diabetes on Hypoglycemia: Results of the HAT Observational Study in Central and Eastern European Countries. Diabetes Therapy. 9(2). 727–741. 7 indexed citations

Schmidt, Wolfgang E., Jens Sandahl Christiansen, Mette Hammer, Marcin Zychma, & John B. Buse. (2011). Patient‐reported outcomes are superior in patients with Type 2 diabetes treated with liraglutide as compared with exenatide, when added to metformin, sulphonylurea or both: results from a randomized, open‐label study. Diabetic Medicine. 28(6). 715–723. 30 indexed citations

Yang, Wenying, Qiuhe Ji, Jiali Ma, et al.. (2010). Liraglutide provides similar glycaemic control as glimepiride (both in combination with metformin) and reduces body weight and systolic blood pressure in Asian population with type 2 diabetes from China, South Korea and India: a 16‐week, randomized, double‐blind, active control trial ^*. Diabetes Obesity and Metabolism. 13(1). 81–88. 80 indexed citations

Buse, John B., Julio Rosenstock, Giorgio Sesti, et al.. (2009). Liraglutide once a day versus exenatide twice a day for type 2 diabetes: a 26-week randomised, parallel-group, multinational, open-label trial (LEAD-6). The Lancet. 374(9683). 39–47. 1203 indexed citations breakdown →

Fonseca, Vivian, A Falahati, Marcin Zychma, Sten Madsbad, & Jorge Plutzky. (2009). Liraglutide, a once-daily human GLP-1 analogue, reduces systolic blood pressure within 2 weeks in patients with type 2 diabetes. Canadian Journal of Diabetes. 33(3). 255–256. 6 indexed citations

Gumprecht, Janusz, et al.. (2008). The polymorphism in insulin receptor substrate-1 gene and birth weight in neonates at term.. PubMed. 59(3). 212–6. 6 indexed citations

Gumprecht, Janusz, et al.. (2003). Family history of end-stage renal disease among hemodialyzed patients in Poland. Journal of Nephrology. 16(4). 511–515. 16 indexed citations

Zychma, Marcin, et al.. (2003). Polymorphic Genes for Kinin Receptors, Nephropathy and Blood Pressure in Type 2 Diabetic Patients. American Journal of Nephrology. 23(2). 112–116. 8 indexed citations

Zychma, Marcin, et al.. (2002). Sulfonylurea receptor gene 16-3 polymorphism - association with sulfonylurea or insulin treatment in type 2 diabetic subjects.. PubMed. 8(7). CR512–5. 16 indexed citations

10.

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

11.

Grzeszczak, W, et al.. (2001). Role of GLUT1 gene in susceptibility to diabetic nephropathy in type 2 diabetes. Kidney International. 59(2). 631–636. 30 indexed citations

12.

Gumprecht, Janusz, Marcin Zychma, W Grzeszczak, & E Zukowska-Szczechowska. (2001). Transmission of G-Protein β3 Subunit C825T Alleles to Offspring Affected with End-Stage Renal Disease. American Journal of Nephrology. 21(5). 368–372. 6 indexed citations

13.

Gumprecht, Janusz, Marcin Zychma, W Grzeszczak, & E Zukowska-Szczechowska. (2001). Human SA gene Pst1 polymorphism and chronic renal failure: Results of the family‐based study. Nephrology Dialysis Transplantation. 16(2). 387–390. 1 indexed citations

14.

Gumprecht, Janusz, et al.. (2000). Angiotensin I-converting enzyme gene insertion/deletion and angiotensinogen M235T polymorphisms: Risk of chronic renal failure. Kidney International. 58(2). 513–519. 40 indexed citations

15.

Zychma, Marcin, et al.. (2000). G-Protein β<sub>3</sub> Subunit C825T Variant, Nephropathy and Hypertension in Patients with Type 2 (Non-Insulin-Dependent) Diabetes mellitus. American Journal of Nephrology. 20(4). 305–310. 19 indexed citations

16.

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

17.

Moczulski, Dariusz, Alessandro Doria, Marcin Zychma, et al.. (1999). The role of aldose reductase gene in the susceptibility to diabetic nephropathy in Type II (non-insulin-dependent) diabetes mellitus (Short Communication). Diabetologia. 42(1). 94–97. 40 indexed citations

18.

Zychma, Marcin, Janusz Gumprecht, E Zukowska-Szczechowska, & W Grzeszczak. (1999). Polymorphisms in the Genes Encoding for Human Kinin Receptors and the Risk of End-Stage Renal Failure. Journal of the American Society of Nephrology. 10(10). 2120–2124. 30 indexed citations

19.

Fogarty, Damian, Marcin Zychma, Laura J. Scott, James H. Warram, & Andrzej S. Królewski. (1998). The C825T polymorphism in the human G-protein β3 subunit gene is not associated with diabetic nephropathy in Type I diabetes mellitus. Diabetologia. 41(11). 1304–1308. 20 indexed citations

20.

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

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