Laszlo J. Karai

25 total papers · 425 total citations
17 papers, 263 citations indexed

About

Laszlo J. Karai is a scholar working on Dermatology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Laszlo J. Karai has authored 17 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Dermatology, 8 papers in Pathology and Forensic Medicine and 8 papers in Epidemiology. Recurrent topics in Laszlo J. Karai's work include Lymphoma Diagnosis and Treatment (7 papers), Cutaneous lymphoproliferative disorders research (7 papers) and Fungal Infections and Studies (4 papers). Laszlo J. Karai is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Cutaneous lymphoproliferative disorders research (7 papers) and Fungal Infections and Studies (4 papers). Laszlo J. Karai collaborates with scholars based in United States, Switzerland and Germany. Laszlo J. Karai's co-authors include Marshall E. Kadin, Eric D. Hsi, Ryan A. Knudson, Andrew L. Feldman, Jason C. Sluzevich, Rhett P. Ketterling, Alistair Robson, Joseph Susa, Werner Kempf and Christina Mitteldorf and has published in prestigious journals such as Cancer Research, The American Journal of Surgical Pathology and Journal of the American Academy of Dermatology.

In The Last Decade

Laszlo J. Karai

17 papers receiving 260 citations

Author Peers

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

Author Last Decade Papers Cites
Laszlo J. Karai 186 161 116 63 40 17 263
Paul I. Dantzig 110 0.6× 102 0.6× 82 0.7× 63 1.0× 42 1.1× 18 299
Felix Weihsengruber 90 0.5× 98 0.6× 69 0.6× 122 1.9× 41 1.0× 15 253
C.J.G. Sanders 137 0.7× 77 0.5× 102 0.9× 45 0.7× 90 2.3× 19 301
Ingrid López‐Lerma 116 0.6× 98 0.6× 53 0.5× 34 0.5× 38 0.9× 19 260
Rahul N. Chavan 89 0.5× 116 0.7× 177 1.5× 70 1.1× 47 1.2× 13 304
D Shpiro 222 1.2× 83 0.5× 79 0.7× 25 0.4× 62 1.6× 11 294
Tina Petrogiannis‐Haliotis 70 0.4× 115 0.7× 60 0.5× 162 2.6× 61 1.5× 17 321
Laila El‐Shabrawi‐Caelen 234 1.3× 157 1.0× 100 0.9× 123 2.0× 28 0.7× 13 316
Alix Baugier de Materre 80 0.4× 98 0.6× 43 0.4× 110 1.7× 45 1.1× 13 219
M.T. Yebra-Pimentel 130 0.7× 130 0.8× 106 0.9× 35 0.6× 79 2.0× 24 297

Countries citing papers authored by Laszlo J. Karai

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo J. Karai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laszlo J. Karai. 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 Laszlo J. Karai. The network helps show where Laszlo J. Karai may publish in the future.

Co-authorship network of co-authors of Laszlo J. Karai

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