János Kappelmayer

4.5k total citations
188 papers, 3.4k citations indexed

About

János Kappelmayer is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, János Kappelmayer has authored 188 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Hematology, 33 papers in Molecular Biology and 33 papers in Genetics. Recurrent topics in János Kappelmayer's work include Platelet Disorders and Treatments (31 papers), Acute Myeloid Leukemia Research (19 papers) and Blood properties and coagulation (17 papers). János Kappelmayer is often cited by papers focused on Platelet Disorders and Treatments (31 papers), Acute Myeloid Leukemia Research (19 papers) and Blood properties and coagulation (17 papers). János Kappelmayer collaborates with scholars based in Hungary, United States and Germany. János Kappelmayer's co-authors include Béla Nagy, Péter Antal‐Szalmás, Zsolt Fejes, Ildikó Beke Debreceni, László Muszbek, Miklós Káplár, M. Udvardy, Lijun Xia, Rodger P. McEver and Hendra Setiadi and has published in prestigious journals such as Nature Medicine, Blood and PLoS ONE.

In The Last Decade

János Kappelmayer

183 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
János Kappelmayer Hungary 31 743 678 579 506 427 188 3.4k
Freda Passam Australia 31 991 1.3× 780 1.2× 658 1.1× 469 0.9× 156 0.4× 97 3.2k
Gernot Beutel Germany 27 494 0.7× 638 0.9× 484 0.8× 438 0.9× 330 0.8× 79 2.9k
François Vrtovsnik France 36 371 0.5× 665 1.0× 422 0.7× 832 1.6× 296 0.7× 103 3.5k
Waander L. van Heerde Netherlands 32 1.2k 1.7× 1.4k 2.1× 572 1.0× 290 0.6× 358 0.8× 102 3.6k
Yuichiro Sato Japan 37 582 0.8× 655 1.0× 343 0.6× 610 1.2× 648 1.5× 235 3.9k
Yukitaka Ueki Japan 33 535 0.7× 640 0.9× 990 1.7× 233 0.5× 256 0.6× 160 3.5k
George Vaiopoulos Greece 30 455 0.6× 631 0.9× 435 0.8× 605 1.2× 112 0.3× 161 3.1k
Alessandro Celi Italy 28 1.2k 1.6× 1.2k 1.7× 674 1.2× 802 1.6× 570 1.3× 110 3.8k
Roberta Donadelli Italy 30 811 1.1× 701 1.0× 2.0k 3.4× 325 0.6× 532 1.2× 53 4.2k
Norbert Blank Germany 31 488 0.7× 1.3k 1.9× 1.5k 2.5× 461 0.9× 227 0.5× 126 3.1k

Countries citing papers authored by János Kappelmayer

Since Specialization
Citations

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

Fields of papers citing papers by János Kappelmayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of János Kappelmayer

This figure shows the co-authorship network connecting the top 25 collaborators of János Kappelmayer. A scholar is included among the top collaborators of János Kappelmayer 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 János Kappelmayer. János Kappelmayer 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.
Kappelmayer, János, Ildikó Beke Debreceni, Zsolt Fejes, & Béla Nagy. (2024). Inflammation, Sepsis, and the Coagulation System. Hämostaseologie. 44(4). 268–276. 7 indexed citations
3.
Fagyas, Miklós, et al.. (2024). Comparison of Different Vascular Biomarkers for Predicting In-Hospital Mortality in Severe SARS-CoV-2 Infection. Microorganisms. 12(1). 229–229. 2 indexed citations
4.
Sinkovits, György, Borbála Zsigmond, Balázs Szalay, et al.. (2024). Prognostic Value of Baseline Serum Pro-Inflammatory Cytokines in Severe Multisystem Inflammatory Syndrome in Children. Journal of Clinical Medicine. 13(23). 7177–7177. 1 indexed citations
5.
Antal‐Szalmás, Péter, et al.. (2023). Algorithm of differential diagnosis of anemia involving laboratory medicine specialists to advance diagnostic excellence. Clinical Chemistry and Laboratory Medicine (CCLM). 62(3). 410–420. 3 indexed citations
6.
Tóth, Emese, Miklós Fagyas, Béla Nagy, et al.. (2023). Distinct subsets of anti-pulmonary autoantibodies correlate with disease severity and survival in severe COVID-19 patients. GeroScience. 46(2). 1561–1574. 1 indexed citations
8.
Molnár, Csilla, Judit Gál, Andrea Szegedi, et al.. (2022). Takotsubo cardiomyopathy in patients suffering from acute non-traumatic subarachnoid hemorrhage—A single center follow-up study. PLoS ONE. 17(5). e0268525–e0268525. 5 indexed citations
9.
Fagyas, Miklós, Zsolt Fejes, Zsuzsanna Nagy, et al.. (2021). Circulating ACE2 activity predicts mortality and disease severity in hospitalized COVID-19 patients. International Journal of Infectious Diseases. 115. 8–16. 69 indexed citations
10.
Batár, Péter, et al.. (2021). Ponatinib Exerts an Inhibitory Effect on Collagen-induced Platelet Aggregation and Generation of Coated-Platelets. Anticancer Research. 41(10). 4867–4874. 2 indexed citations
11.
Erdei, J., Andrea Tóth, Enikő Balogh, et al.. (2020). Formation and Detection of Highly Oxidized Hemoglobin Forms in Biological Fluids during Hemolytic Conditions. Oxidative Medicine and Cellular Longevity. 2020. 1–13. 12 indexed citations
12.
Nagy, Béla, Zsolt Fejes, István Várkonyi, et al.. (2020). A dramatic rise in serum ACE2 activity in a critically ill COVID-19 patient. International Journal of Infectious Diseases. 103. 412–414. 53 indexed citations
13.
Fejes, Zsolt, Szilárd Póliska, Zsolt Czimmerer, et al.. (2020). Reduced miR-26b Expression in Megakaryocytes and Platelets Contributes to Elevated Level of Platelet Activation Status in Sepsis. International Journal of Molecular Sciences. 21(3). 866–866. 34 indexed citations
14.
Orosz, Zsuzsanna, Helga Bárdos, Amir H. Shemirani, et al.. (2019). Cellular Factor XIII, a Transglutaminase in Human Corneal Keratocytes. International Journal of Molecular Sciences. 20(23). 5963–5963. 6 indexed citations
15.
Rejtő, László, et al.. (2019). A novel flow cytometric method for enhancing acute promyelocytic leukemia screening by multidimensional dot-plots. Annals of Hematology. 98(6). 1413–1420. 10 indexed citations
16.
Enyedi, Attila, István Takács, Tamás Végh, et al.. (2018). Optimized angiotensin-converting enzyme activity assay for the accurate diagnosis of sarcoidosis. Clinical Chemistry and Laboratory Medicine (CCLM). 56(7). 1117–1125. 13 indexed citations
17.
Fejes, Zsolt, et al.. (2016). Haemodiafiltration elicits less platelet activation compared to haemodialysis. BMC Nephrology. 17(1). 147–147. 7 indexed citations
18.
Bhattoa, Harjit Pal, et al.. (2014). Serum Thymidine Kinase Activity: Analytical Performance, Age-Related Reference Ranges and Validation in Chronic Lymphocytic Leukemia. PLoS ONE. 9(3). e91647–e91647. 10 indexed citations
19.
Bereczky, Zsuzsanna, et al.. (2013). Direct Thrombin Inhibitors and Factor Xa Inhibitors Can Influence the Diluted Prothrombin Time Used as the Initial Screen for Lupus Anticoagulant. Archives of Pathology & Laboratory Medicine. 137(7). 967–973. 11 indexed citations
20.
Bárdi, Edit, et al.. (2007). Anthracycline antibiotics induce acute renal tubular toxicity in children with cancer. Pathology & Oncology Research. 13(3). 249–253. 35 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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