Roman Hafko

408 total citations
11 papers, 319 citations indexed

About

Roman Hafko is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Roman Hafko has authored 11 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Roman Hafko's work include Pancreatic function and diabetes (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Receptor Mechanisms and Signaling (3 papers). Roman Hafko is often cited by papers focused on Pancreatic function and diabetes (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Receptor Mechanisms and Signaling (3 papers). Roman Hafko collaborates with scholars based in Slovakia, United States and China. Roman Hafko's co-authors include Enrique Sánchez-Lemus, Július Benický, Juan M. Saavedra, Juan M. Saavedra, Greti Aguilera, Juan Wang, Tao Pang, Abdel Elkahloun, Tadashi Inagami and Regina Nostramo and has published in prestigious journals such as PLoS ONE, Neuropharmacology and Cellular Physiology and Biochemistry.

In The Last Decade

Roman Hafko

10 papers receiving 319 citations

Peers

Roman Hafko

MB

CCM

EDM

CMN

PHYSI

Yasser el Faramawy Egypt

Hongbo Jin China

Kristin Lucht Germany

Meiko Hamai Japan

Pierre Chryso Djoufack Germany

Coskun Ulucan Germany

Patricia A. Stevens United Kingdom

Chongxue Zhu United States

Laura L. Souza Brazil

Venkata N. Sure United States

Yasser el Faramawy Egypt

Roman Hafko

172 ×1.1

MB

103 ×0.8

CCM

51 ×0.8

EDM

77 ×1.6

CMN

75 ×1.6

PHYSI

Citations per year, relative to Roman Hafko Roman Hafko (= 1×) peers Yasser el Faramawy

Countries citing papers authored by Roman Hafko

Since Specialization

Citations

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

Fields of papers citing papers by Roman Hafko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Hafko

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

All Works

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11 of 11 papers shown

1.

Elkahloun, Abdel, Roman Hafko, & Juan M. Saavedra. (2016). An integrative genome-wide transcriptome reveals that candesartan is neuroprotective and a candidate therapeutic for Alzheimer’s disease. Alzheimer s Research & Therapy. 8(1). 5–5. 40 indexed citations

2.

Hafko, Roman, Sonia Villapol, Regina Nostramo, et al.. (2014). Correction: Commercially Available Angiotensin II At₂Receptor Antibodies Are Nonspecific. PLoS ONE. 9(1).

3.

Hafko, Roman, Sonia Villapol, Regina Nostramo, et al.. (2013). Commercially Available Angiotensin II At2 Receptor Antibodies Are Nonspecific. PLoS ONE. 8(7). e69234–e69234. 62 indexed citations

4.

Wang, Juan, Tao Pang, Roman Hafko, et al.. (2013). Telmisartan ameliorates glutamate-induced neurotoxicity: Roles of AT1 receptor blockade and PPARγ activation. Neuropharmacology. 79. 249–261. 84 indexed citations

5.

Benický, Július, Roman Hafko, Enrique Sánchez-Lemus, Greti Aguilera, & Juan M. Saavedra. (2012). Six Commercially Available Angiotensin II AT1 Receptor Antibodies are Non-specific. Cellular and Molecular Neurobiology. 32(8). 1353–1365. 89 indexed citations

6.

Bačová, Zuzana, et al.. (2012). Effect of Cellular Cholesterol Changes on Insulin Secretion by Tumor Cell Lines. Medicinal Chemistry. 8(1). 65–71. 4 indexed citations

7.

Orečná, Martina, et al.. (2010). Cell Swelling-induced Insulin Secretion from INS-1E Cells is Inhibited by Extracellular Ca<sup>2+</sup> and is Tetanus Toxin Resistant. Cellular Physiology and Biochemistry. 26(2). 197–208. 7 indexed citations

8.

Hafko, Roman, Martina Orečná, Zuzana Bačová, et al.. (2009). Mechanism of Ethanol-Induced Insulin Secretion from INS-1 and INS-1E Tumor Cell Lines. Cellular Physiology and Biochemistry. 24(5-6). 441–450. 8 indexed citations

9.

Hafko, Roman, et al.. (2009). Ethanol and urea affect insulin secretion from islets and insulinoma cells by different mechanisms. Biologia. 64(5). 1039–1045. 2 indexed citations

10.

Orečná, Martina, et al.. (2008). Different secretory response of pancreatic islets and insulin secreting cell lines INS-1 and INS-1E to osmotic stimuli. Physiological Research. 57(6). 935–945. 16 indexed citations

11.

Bačová, Zuzana, Martina Orečná, Roman Hafko, & V. Štrbák. (2007). Cell Swelling-Induced Signaling for Insulin Secretion Bypasses Steps Involving G Proteins and PLA<sub>2</sub> and is N-ethylmaleimide Insensitive. Cellular Physiology and Biochemistry. 20(5). 387–396. 7 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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