Brian T. Kalish

103 total papers · 3.6k total citations
53 papers, 1.7k citations indexed

About

Brian T. Kalish is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Brian T. Kalish has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 15 papers in Molecular Biology and 13 papers in Surgery. Recurrent topics in Brian T. Kalish's work include Congenital Heart Disease Studies (8 papers), Neonatal and fetal brain pathology (6 papers) and Congenital Diaphragmatic Hernia Studies (6 papers). Brian T. Kalish is often cited by papers focused on Congenital Heart Disease Studies (8 papers), Neonatal and fetal brain pathology (6 papers) and Congenital Diaphragmatic Hernia Studies (6 papers). Brian T. Kalish collaborates with scholars based in United States, Canada and Netherlands. Brian T. Kalish's co-authors include Mark Puder, Vincent E. de Meijer, Jan N.M. IJzermans, Elliott R. Haut, David T. Efron, Adil H. Haider, Kent A. Stevens, Alicia N. Kieninger, Edward E. Cornwell and David C. Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

In The Last Decade

Brian T. Kalish

51 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Brian T. Kalish 456 425 374 224 198 53 1.7k
Concetta Scazzone 658 1.4× 232 0.5× 242 0.6× 128 0.6× 151 0.8× 82 2.1k
Tracy Dew 320 0.7× 469 1.1× 291 0.8× 103 0.5× 49 0.2× 50 1.9k
Thomas Lescot 355 0.8× 322 0.8× 136 0.4× 218 1.0× 65 0.3× 65 1.4k
Masaru Kubota 229 0.5× 315 0.7× 526 1.4× 52 0.2× 125 0.6× 94 1.7k
Jean‐Marc Sabaté 405 0.9× 965 2.3× 365 1.0× 152 0.7× 83 0.4× 83 2.4k
Süleyman Caner Karahan 198 0.4× 464 1.1× 292 0.8× 93 0.4× 80 0.4× 109 1.8k
Katharina Kurz 256 0.6× 199 0.5× 497 1.3× 59 0.3× 145 0.7× 76 2.1k
K. van Ackern 262 0.6× 265 0.6× 314 0.8× 160 0.7× 165 0.8× 76 1.9k
Thanjavur S. Ravikumar 381 0.8× 343 0.8× 393 1.1× 44 0.2× 208 1.1× 48 1.9k
Shaolong Yang 371 0.8× 190 0.4× 775 2.1× 110 0.5× 70 0.4× 55 1.9k

Countries citing papers authored by Brian T. Kalish

Since Specialization
Citations

This map shows the geographic impact of Brian T. Kalish'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 Brian T. Kalish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Kalish more than expected).

Fields of papers citing papers by Brian T. Kalish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian T. Kalish. 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 Brian T. Kalish. The network helps show where Brian T. Kalish may publish in the future.

Co-authorship network of co-authors of Brian T. Kalish

This figure shows the co-authorship network connecting the top 25 collaborators of Brian T. Kalish. A scholar is included among the top collaborators of Brian T. Kalish 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 Brian T. Kalish. Brian T. Kalish 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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