Szabina Fodor

1.3k total citations · 1 hit paper
22 papers, 939 citations indexed

About

Szabina Fodor is a scholar working on Immunology, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Szabina Fodor has authored 22 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Computational Theory and Mathematics and 3 papers in Numerical Analysis. Recurrent topics in Szabina Fodor's work include Immune Response and Inflammation (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Cell Adhesion Molecules Research (3 papers). Szabina Fodor is often cited by papers focused on Immune Response and Inflammation (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Cell Adhesion Molecules Research (3 papers). Szabina Fodor collaborates with scholars based in Hungary and United States. Szabina Fodor's co-authors include Attila Mócsai, Krisztina Futosi, Zoltán Jakus, Clifford A. Lowell, Clare L. Abram, M. S. Chee, Lawrence C. Brody, FS Collins, J. Hacia and Dorottya Kövesdi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Trends in Cell Biology.

In The Last Decade

Szabina Fodor

19 papers receiving 926 citations

Hit Papers

Neutrophil cell surface receptors and their intracellular... 2013 2026 2017 2021 2013 100 200 300 400
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.

  1. Neutrophil cell surface receptors and their intracellular signal transduction pathways
    2013 497 citations Krisztina Futosi, Szabina Fodor et al. International Immunopharmacology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Szabina Fodor Hungary 10 539 277 134 75 69 22 939
Brian Crain United States 17 587 1.1× 259 0.9× 67 0.5× 169 2.3× 114 1.7× 31 976
B. Angermann United States 14 687 1.3× 364 1.3× 154 1.1× 144 1.9× 101 1.5× 25 1.2k
Sandra Balkow Germany 21 927 1.7× 250 0.9× 124 0.9× 163 2.2× 189 2.7× 29 1.3k
Jean Wu United States 23 360 0.7× 307 1.1× 171 1.3× 138 1.8× 59 0.9× 47 1.2k
Chester Ni United States 12 439 0.8× 198 0.7× 154 1.1× 47 0.6× 152 2.2× 14 875
Simon Brown United Kingdom 10 480 0.9× 392 1.4× 51 0.4× 54 0.7× 82 1.2× 39 915
Aoife Kelly United Kingdom 9 409 0.8× 198 0.7× 65 0.5× 136 1.8× 87 1.3× 14 705
Antonio Cappuccio France 14 623 1.2× 340 1.2× 39 0.3× 240 3.2× 55 0.8× 24 1.1k
Jonathan G. Lieber United States 11 469 0.9× 477 1.7× 80 0.6× 144 1.9× 126 1.8× 12 1.1k
Andrew J. Leishman United Kingdom 18 966 1.8× 212 0.8× 63 0.5× 265 3.5× 73 1.1× 34 1.3k

Countries citing papers authored by Szabina Fodor

Since Specialization
Citations

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

Fields of papers citing papers by Szabina Fodor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szabina Fodor

This figure shows the co-authorship network connecting the top 25 collaborators of Szabina Fodor. A scholar is included among the top collaborators of Szabina Fodor 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 Szabina Fodor. Szabina Fodor 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.
Fodor, Szabina, et al.. (2025). Assessing the Limits of Simple Quantum Hardware. Acta Polytechnica Hungarica. 22(6). 115–129.
2.
Fodor, Szabina, et al.. (2023). Exploratory Analysis of I 4.0 Readiness Using Topic Modelling. 1 indexed citations
3.
Fodor, Szabina, et al.. (2023). Practical Quantum Game Theory. 1 indexed citations
4.
Kő, Andrea, et al.. (2021). An Autoencoder-Enhanced Stacking Neural Network Model for Increasing the Performance of Intrusion Detection. Journal of Artificial Intelligence and Soft Computing Research. 12(2). 149–163. 10 indexed citations
5.
Kovács, László, et al.. (2021). Miről árulkodnak az osztályzatok? : Képzési struktúra fejlesztése a tanulók teljesítménye alapján. Statisztikai Szemle. 99(11). 1080–1108. 1 indexed citations
6.
Fodor, Szabina, et al.. (2021). ABS-Based Direct Method for Solving Complex Systems of Linear Equations. Mathematics. 9(19). 2527–2527.
7.
Fodor, Szabina, et al.. (2021). Competence-Oriented, Data-Driven Approach for Sustainable Development in University-Level Education. Sustainability. 13(17). 9977–9977. 9 indexed citations
8.
Fodor, Szabina, et al.. (2020). An empirical study on key factors affecting user engagement in a gamified team building environment. SHILAP Revista de lepidopterología. 7(3). 81–95. 7 indexed citations
9.
Csepregi, Janka Zsófia, Tamás Németh, Edina Simon, et al.. (2018). Myeloid-Specific Deletion of Mcl-1 Yields Severely Neutropenic Mice That Survive and Breed in Homozygous Form. The Journal of Immunology. 201(12). 3793–3803. 33 indexed citations
10.
11.
Fodor, Szabina, et al.. (2018). Gamifikált közösségi megoldás használata a kedvezőbb munkahelyi légkör kialakítása érdekében. Vezetéstudomány / Budapest Management Review. 49(3). 2–10. 2 indexed citations
12.
Fodor, Szabina, et al.. (2018). Numerical analysis of parallel implementation of the reorthogonalized ABS methods. Central European Journal of Operations Research. 27(2). 437–454. 1 indexed citations
13.
Neumann, John von, et al.. (2015). Reorthogonalization Methods in ABS Classes. Acta Polytechnica Hungarica. 12(6). 2 indexed citations
14.
Neumann, John von, et al.. (2013). Solving Integer and Mixed Integer Linear Problems with ABS Method. Acta Polytechnica Hungarica. 10(7). 1 indexed citations
15.
Futosi, Krisztina, Szabina Fodor, & Attila Mócsai. (2013). Reprint of Neutrophil cell surface receptors and their intracellular signal transduction pathways. International Immunopharmacology. 17(4). 1185–1197. 153 indexed citations
16.
Futosi, Krisztina, Szabina Fodor, & Attila Mócsai. (2013). Neutrophil cell surface receptors and their intracellular signal transduction pathways. International Immunopharmacology. 17(3). 638–650. 497 indexed citations breakdown →
17.
Jakus, Zoltán, Szabina Fodor, Clare L. Abram, Clifford A. Lowell, & Attila Mócsai. (2007). Immunoreceptor-like signaling by β2 and β3 integrins. Trends in Cell Biology. 17(10). 493–501. 97 indexed citations
18.
Fodor, Szabina, Zoltán Jakus, & Attila Mócsai. (2005). ITAM-based signaling beyond the adaptive immune response. Immunology Letters. 104(1-2). 29–37. 72 indexed citations
19.
Fodor, Szabina. (2001). Symmetric and Non-Symmetric ABS Methods for Solving Diophantine Systems of Equations. Annals of Operations Research. 103(1-4). 291–314. 4 indexed citations
20.
Hacia, J., Lawrence C. Brody, M. S. Chee, Szabina Fodor, & FS Collins. (1997). Detection of heterozygous mutations in brca1 using high density oligonucleotide arrays and two-color fluorescence analysis. Cancer Genetics and Cytogenetics. 98(2). 155–155. 25 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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