I. Serés

3.5k total citations
128 papers, 2.8k citations indexed

About

I. Serés is a scholar working on Clinical Biochemistry, Pharmacology and Surgery. According to data from OpenAlex, I. Serés has authored 128 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Clinical Biochemistry, 24 papers in Pharmacology and 23 papers in Surgery. Recurrent topics in I. Serés's work include Paraoxonase enzyme and polymorphisms (52 papers), Apelin-related biomedical research (19 papers) and Adipokines, Inflammation, and Metabolic Diseases (18 papers). I. Serés is often cited by papers focused on Paraoxonase enzyme and polymorphisms (52 papers), Apelin-related biomedical research (19 papers) and Adipokines, Inflammation, and Metabolic Diseases (18 papers). I. Serés collaborates with scholars based in Hungary, United States and Canada. I. Serés's co-authors include György Paragh, Mariann Harangi, György Paragh, Tamàs Fülöp, Péter Fülöp, Hajnalka Lőrincz, Zoltán Szekanecz, György Kerekes, Pál Soltész and Zoltán Balogh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemistry and Scientific Reports.

In The Last Decade

I. Serés

122 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Serés Hungary 31 938 476 458 441 429 128 2.8k
György Paragh Hungary 29 682 0.7× 377 0.8× 547 1.2× 229 0.5× 263 0.6× 136 2.7k
Yoshitaka Kumon Japan 27 801 0.9× 353 0.7× 549 1.2× 292 0.7× 219 0.5× 95 2.3k
Tadashi Suehiro Japan 30 945 1.0× 411 0.9× 491 1.1× 166 0.4× 165 0.4× 92 2.5k
Mariann Harangi Hungary 23 548 0.6× 297 0.6× 279 0.6× 113 0.3× 133 0.3× 117 1.8k
Turgay İşbir Türkiye 28 280 0.3× 162 0.3× 962 2.1× 304 0.7× 218 0.5× 192 2.7k
Kei Fukami Japan 35 2.0k 2.2× 190 0.4× 1.0k 2.2× 103 0.2× 322 0.8× 135 4.5k
Norbert Katz Germany 35 361 0.4× 151 0.3× 1.2k 2.7× 153 0.3× 139 0.3× 72 3.3k
Di Xie China 28 350 0.4× 124 0.3× 555 1.2× 149 0.3× 238 0.6× 84 2.8k
Stefano Menini Italy 41 491 0.5× 190 0.4× 1.3k 2.8× 88 0.2× 776 1.8× 72 4.0k
Tomohito Gohda Japan 32 519 0.6× 157 0.3× 651 1.4× 102 0.2× 233 0.5× 127 3.1k

Countries citing papers authored by I. Serés

Since Specialization
Citations

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

Fields of papers citing papers by I. Serés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Serés

This figure shows the co-authorship network connecting the top 25 collaborators of I. Serés. A scholar is included among the top collaborators of I. Serés 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 I. Serés. I. Serés 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.
2.
Lőrincz, Hajnalka, et al.. (2023). Gender-Dependent Associations between Serum Betatrophin Levels and Lipoprotein Subfractions in Diabetic and Nondiabetic Obese Patients. International Journal of Molecular Sciences. 24(22). 16504–16504. 5 indexed citations
3.
Pikó, Péter, Zsigmond Kósa, János Sándor, et al.. (2023). Association of HDL Subfraction Profile with the Progression of Insulin Resistance. International Journal of Molecular Sciences. 24(17). 13563–13563. 7 indexed citations
4.
Pikó, Péter, Zsigmond Kósa, János Sándor, et al.. (2023). Association of CETP Gene Polymorphisms and Haplotypes with Cardiovascular Risk. International Journal of Molecular Sciences. 24(12). 10281–10281. 3 indexed citations
5.
Pikó, Péter, Zsigmond Kósa, János Sándor, et al.. (2022). The profile of HDL-C subfractions and their association with cardiovascular risk in the Hungarian general and Roma populations. Scientific Reports. 12(1). 10915–10915. 13 indexed citations
6.
Lőrincz, Hajnalka, et al.. (2022). The Potential Diagnostic and Predictive Role of HbA1c in Diabetic, Septic Patients: A Retrospective Single-Center Study. Emergency Medicine International. 2022. 1–11. 2 indexed citations
7.
Harangi, Mariann, et al.. (2017). HDL subfraction distribution and HDL function in untreated dyslipidemic patients. Vessel Plus. 11 indexed citations
8.
Varga, V., Hajnalka Lőrincz, Péter Fülöp, et al.. (2016). Impact of selective LDL apheresis on serum chemerin levels in patients with hypercholesterolemia. Lipids in Health and Disease. 15(1). 182–182. 6 indexed citations
9.
Varga, E.‐M., I. Serés, Mariann Harangi, et al.. (2009). Serum Cystatin C Is a Determinant of Paraoxonase Activity in Hemodialyzed and Renal Transplanted Patients. Disease Markers. 26(3). 141–148. 10 indexed citations
10.
Bajnok, László, I. Serés, Zsuzsanna Varga, et al.. (2008). Relationship of Serum Resistin Level to Traits of Metabolic Syndrome and Serum Paraoxonase 1 Activity in a Population with a Broad Range of Body Mass Index. Experimental and Clinical Endocrinology & Diabetes. 116(10). 592–599. 25 indexed citations
11.
Bajnok, László, I. Serés, Zsuzsa Varga, et al.. (2007). Relationship of endogenous hyperleptinemia to serum paraoxonase 1, cholesteryl ester transfer protein, and lecithin cholesterol acyltransferase in obese individuals. Metabolism. 56(11). 1542–1549. 35 indexed citations
12.
13.
Kovács, Tibor, Shelley Harris, I. Serés, et al.. (2006). Paraoxonase gene polymorphism and serum activity in progressive IgA nephropathy. Journal of Nephrology. 19(6). 732–738. 9 indexed citations
14.
Serés, I., Gabriella Fóris, Zsuzsa Varga, et al.. (2006). The Association between Angiotensin II-Induced Free Radical Generation and Membrane Fluidity in Neutrophils of Patients with Metabolic Syndrome. The Journal of Membrane Biology. 214(1-2). 91–98. 15 indexed citations
15.
Audikovszky, Mária, I. Serés, Mariann Harangi, et al.. (2006). Orlistat increases serum paraoxonase activity in obese patients. Nutrition Metabolism and Cardiovascular Diseases. 17(4). 268–273. 31 indexed citations
16.
Paragh, György, et al.. (2006). Ciprofibrate increases paraoxonase activity in patients with metabolic syndrome. British Journal of Clinical Pharmacology. 61(6). 694–701. 22 indexed citations
17.
Magyar, Mária Tünde, György Paragh, Attila Valikovics, et al.. (2004). Serum Cholesterols Have a More Important Role Than Triglycerides in Determining Intima-Media Thickness of the Common Carotid Artery in Subjects Younger Than 55 Years of Age. Journal of Ultrasound in Medicine. 23(9). 1161–1169. 14 indexed citations
18.
Szabó, Zoltán, Mariann Harangi, István Lőrincz, et al.. (2004). A hyperlipidaemia hatása a QT diszperzióra nem ischaemiás szívbetegekben.
19.
Paragh, György, et al.. (2002). Serum paraoxonase activity changes in patients with Alzheimer's disease and vascular dementia. European Archives of Psychiatry and Clinical Neuroscience. 252(2). 63–67. 94 indexed citations
20.
Serés, I., et al.. (1992). [The accidents and complications of laparoscopy. A review of 8,915 cases].. PubMed. 82(6). 411–7. 4 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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