Ágnes Péterfalvi

21 total papers · 471 total citations
17 papers, 362 citations indexed

About

Ágnes Péterfalvi is a scholar working on Immunology, Infectious Diseases and Pathology and Forensic Medicine. According to data from OpenAlex, Ágnes Péterfalvi has authored 17 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Infectious Diseases and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Ágnes Péterfalvi's work include Immune Cell Function and Interaction (6 papers), COVID-19 Clinical Research Studies (3 papers) and T-cell and B-cell Immunology (3 papers). Ágnes Péterfalvi is often cited by papers focused on Immune Cell Function and Interaction (6 papers), COVID-19 Clinical Research Studies (3 papers) and T-cell and B-cell Immunology (3 papers). Ágnes Péterfalvi collaborates with scholars based in Hungary, Germany and Belgium. Ágnes Péterfalvi's co-authors include László Szereday, Zsolt Illés, Éva Mikó, Attila Miseta, Boldizsár Czéh, Miklós Bánáti, József Pál, Éva Gömöri, Tamás Magyarlaki and Júlia Szekeres‐Barthó and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Frontiers in Microbiology.

In The Last Decade

Ágnes Péterfalvi

13 papers receiving 356 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ágnes Péterfalvi	162	39	39	35	32	17	362
Michael Molitor	60 0.4×	19 0.5×	8 0.2×	19 0.5×	106 3.3×	26	372
Luiza Ayumi Nishiyama Mimura	103 0.6×	36 0.9×	26 0.7×	5 0.1×	71 2.2×	20	335
Kaifang Zou	115 0.7×	40 1.0×	7 0.2×	7 0.2×	85 2.7×	24	373
Rosaria Alba Merendino	80 0.5×	29 0.7×	55 1.4×	7 0.2×	61 1.9×	14	369
Dong Li	25 0.2×	29 0.7×	11 0.3×	7 0.2×	80 2.5×	25	362
Minhoo Kim	65 0.4×	13 0.3×	22 0.6×	12 0.3×	190 5.9×	15	335
Rafael Moura Maurmann	114 0.7×	32 0.8×	41 1.1×	10 0.3×	94 2.9×	14	338
Megan E. Murphy	78 0.5×	16 0.4×	12 0.3×	7 0.2×	89 2.8×	15	401
Christopher Godfrey	29 0.2×	32 0.8×	11 0.3×	6 0.2×	63 2.0×	17	331
Sarah C. Krzastek	108 0.7×	20 0.5×	21 0.5×	42 1.2×	59 1.8×	22	352

Countries citing papers authored by Ágnes Péterfalvi

Since Specialization

Citations

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

Fields of papers citing papers by Ágnes Péterfalvi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Péterfalvi

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

All Works

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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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