Marc S. Arkovitz

52 total papers · 2.2k total citations
41 papers, 1.4k citations indexed

About

Marc S. Arkovitz is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Marc S. Arkovitz has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 23 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Marc S. Arkovitz's work include Congenital Diaphragmatic Hernia Studies (15 papers), Neonatal Respiratory Health Research (7 papers) and Congenital Anomalies and Fetal Surgery (6 papers). Marc S. Arkovitz is often cited by papers focused on Congenital Diaphragmatic Hernia Studies (15 papers), Neonatal Respiratory Health Research (7 papers) and Congenital Anomalies and Fetal Surgery (6 papers). Marc S. Arkovitz collaborates with scholars based in United States, Israel and Canada. Marc S. Arkovitz's co-authors include Charles J.H. Stolar, Lynn T. Landmesser, Yuka Maeno-Hikichi, Gyu-Hwan Park, Cathleen Lutz, Shingo Kariya, Umrao R. Monani, Victor F. Garcia, Jason C. Fisher and Victor F. Garcia and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Human Molecular Genetics.

In The Last Decade

Marc S. Arkovitz

41 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Marc S. Arkovitz 788 517 476 335 131 41 1.4k
Patrícia Semedo 500 0.6× 162 0.3× 655 1.4× 629 1.9× 81 0.6× 38 1.6k
Jiangning Tan 361 0.5× 480 0.9× 531 1.1× 440 1.3× 151 1.2× 33 1.6k
Chung‐Ho Chang 570 0.7× 206 0.4× 639 1.3× 118 0.4× 95 0.7× 57 1.8k
Kathleen Laborde 416 0.5× 258 0.5× 588 1.2× 186 0.6× 78 0.6× 55 1.8k
Takeshi Shono 353 0.4× 124 0.2× 396 0.8× 176 0.5× 115 0.9× 59 1.3k
Maria Ausiliatrice Puglisi 475 0.6× 205 0.4× 475 1.0× 210 0.6× 167 1.3× 39 1.5k
Joseph Lee 916 1.2× 111 0.2× 475 1.0× 202 0.6× 67 0.5× 50 1.6k
Dominique Erni 663 0.8× 136 0.3× 281 0.6× 132 0.4× 134 1.0× 53 1.4k
Cho‐Ming Chao 615 0.8× 763 1.5× 478 1.0× 119 0.4× 60 0.5× 40 1.3k
Mariana A. Antunes 388 0.5× 842 1.6× 337 0.7× 574 1.7× 180 1.4× 49 1.4k

Countries citing papers authored by Marc S. Arkovitz

Since Specialization
Citations

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

Fields of papers citing papers by Marc S. Arkovitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc S. Arkovitz. 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 Marc S. Arkovitz. The network helps show where Marc S. Arkovitz may publish in the future.

Co-authorship network of co-authors of Marc S. Arkovitz

This figure shows the co-authorship network connecting the top 25 collaborators of Marc S. Arkovitz. A scholar is included among the top collaborators of Marc S. Arkovitz 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 Marc S. Arkovitz. Marc S. Arkovitz 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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