J.-L. Gesztesi

14 total papers · 514 total citations
13 papers, 378 citations indexed

About

J.-L. Gesztesi is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, J.-L. Gesztesi has authored 13 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 6 papers in Infectious Diseases and 5 papers in Immunology. Recurrent topics in J.-L. Gesztesi's work include Fungal Infections and Studies (12 papers), Antifungal resistance and susceptibility (6 papers) and Nail Diseases and Treatments (5 papers). J.-L. Gesztesi is often cited by papers focused on Fungal Infections and Studies (12 papers), Antifungal resistance and susceptibility (6 papers) and Nail Diseases and Treatments (5 papers). J.-L. Gesztesi collaborates with scholars based in Brazil, Czechia and Paraguay. J.-L. Gesztesi's co-authors include José Daniel Lopes, Adriana Pardini Vicentini, Jane Zveiter de Moraes, Luiz R. Travassos, Wanderley de Souza, M.F. Franco, Zoilo Pires dè Camargo, Luiz Juliano, Rosana Puccia and Adriana K. Carmona and has published in prestigious journals such as Journal of Clinical Microbiology, Infection and Immunity and Clinical & Experimental Immunology.

In The Last Decade

J.-L. Gesztesi

13 papers receiving 364 citations

Author Peers

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

Author						Papers	Cites
J.-L. Gesztesi	318	241	80	69	58	13	378
Shuxiong Nong	330 1.0×	291 1.2×	59 0.7×	100 1.4×	30 0.5×	10	424
C M L Maffei	315 1.0×	201 0.8×	53 0.7×	79 1.1×	71 1.2×	16	443
A. Marot-Leblond	165 0.5×	248 1.0×	75 0.9×	26 0.4×	21 0.4×	15	344
M Franco	319 1.0×	202 0.8×	50 0.6×	53 0.8×	71 1.2×	19	388
Nida S. Khan	169 0.5×	161 0.7×	95 1.2×	127 1.8×	13 0.2×	10	348
Wendy Chaka	235 0.7×	169 0.7×	36 0.5×	110 1.6×	15 0.3×	10	336
Leire López-Soria	190 0.6×	218 0.9×	31 0.4×	20 0.3×	63 1.1×	21	360
Jianchi Ma	261 0.8×	205 0.9×	39 0.5×	27 0.4×	65 1.1×	21	350
V. Annaix	137 0.4×	292 1.2×	105 1.3×	27 0.4×	38 0.7×	11	401
Maria N. Chitasombat	221 0.7×	198 0.8×	38 0.5×	18 0.3×	43 0.7×	16	337

Countries citing papers authored by J.-L. Gesztesi

Since Specialization

Citations

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

Fields of papers citing papers by J.-L. Gesztesi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-L. Gesztesi. 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 J.-L. Gesztesi. The network helps show where J.-L. Gesztesi may publish in the future.

Co-authorship network of co-authors of J.-L. Gesztesi

This figure shows the co-authorship network connecting the top 25 collaborators of J.-L. Gesztesi. A scholar is included among the top collaborators of J.-L. Gesztesi 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 J.-L. Gesztesi. J.-L. Gesztesi 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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