Judit Kajtár

77 total papers · 1.1k total citations
51 papers, 850 citations indexed

About

Judit Kajtár is a scholar working on Molecular Biology, Organic Chemistry and Spectroscopy. According to data from OpenAlex, Judit Kajtár has authored 51 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 15 papers in Organic Chemistry and 12 papers in Spectroscopy. Recurrent topics in Judit Kajtár's work include Chemical Synthesis and Analysis (16 papers), Biopolymer Synthesis and Applications (11 papers) and Analytical Chemistry and Chromatography (7 papers). Judit Kajtár is often cited by papers focused on Chemical Synthesis and Analysis (16 papers), Biopolymer Synthesis and Applications (11 papers) and Analytical Chemistry and Chromatography (7 papers). Judit Kajtár collaborates with scholars based in Hungary, United Kingdom and Czechia. Judit Kajtár's co-authors include Ferenc Hudecz, M. Hollósi, M. Szekerke, M. Kajtár, Gábor Mező, J Somogyi, Péter Csermely, L. Ötvös, Gerald D. Fasman and C. Ronald Kahn and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Judit Kajtár

49 papers receiving 830 citations

Author Peers

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

Author Last Decade Papers Cites
Judit Kajtár 565 181 112 103 99 51 850
Yolanda Pérez 555 1.0× 135 0.7× 173 1.5× 65 0.6× 82 0.8× 44 925
Xiajuan Zou 492 0.9× 289 1.6× 151 1.3× 53 0.5× 81 0.8× 33 977
Andrea Caporale 649 1.1× 186 1.0× 49 0.4× 115 1.1× 145 1.5× 64 1.0k
Gabriella D’Auria 551 1.0× 149 0.8× 55 0.5× 48 0.5× 66 0.7× 75 801
Zsuzsa Májer 432 0.8× 204 1.1× 145 1.3× 55 0.5× 92 0.9× 71 888
Francesca Vasile 571 1.0× 177 1.0× 44 0.4× 110 1.1× 47 0.5× 63 841
Heide Kogelberg 555 1.0× 231 1.3× 50 0.4× 109 1.1× 62 0.6× 33 870
Amit Kumar 497 0.9× 212 1.2× 90 0.8× 119 1.2× 66 0.7× 59 993
Akio Takimoto 530 0.9× 196 1.1× 69 0.6× 95 0.9× 34 0.3× 38 952
Beat Wipf 682 1.2× 109 0.6× 185 1.7× 83 0.8× 52 0.5× 20 1.0k

Countries citing papers authored by Judit Kajtár

Since Specialization
Citations

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

Fields of papers citing papers by Judit Kajtár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judit Kajtár

This figure shows the co-authorship network connecting the top 25 collaborators of Judit Kajtár. A scholar is included among the top collaborators of Judit Kajtár 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 Judit Kajtár. Judit Kajtár 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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