John T. Preskitt

45 total papers · 980 total citations
29 papers, 698 citations indexed

About

John T. Preskitt is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, John T. Preskitt has authored 29 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 10 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in John T. Preskitt's work include Pancreatic and Hepatic Oncology Research (6 papers), Parathyroid Disorders and Treatments (5 papers) and Cutaneous Melanoma Detection and Management (5 papers). John T. Preskitt is often cited by papers focused on Pancreatic and Hepatic Oncology Research (6 papers), Parathyroid Disorders and Treatments (5 papers) and Cutaneous Melanoma Detection and Management (5 papers). John T. Preskitt collaborates with scholars based in United States and Ireland. John T. Preskitt's co-authors include Joseph A. Kuhn, T. L. Fisher, Todd M. McCarty, Clifford P. Clark, John C. O'Brien, Zelig H. Lieberman, James W. Fleshman, Gerald Ogola, Brett A. Johnson and Anthony C. Waddimba and has published in prestigious journals such as Annals of Surgery, Annals of the New York Academy of Sciences and The American Journal of Surgery.

In The Last Decade

John T. Preskitt

25 papers receiving 666 citations

Author Peers

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

Author						Papers	Cites
John T. Preskitt	313	264	155	153	72	29	698
G D Oates	235 0.8×	375 1.4×	172 1.1×	78 0.5×	184 2.6×	28	734
İşık Adalet	219 0.7×	303 1.1×	165 1.1×	224 1.5×	161 2.2×	40	712
Judith M. Joyce	163 0.5×	245 0.9×	151 1.0×	61 0.4×	266 3.7×	46	782
Giuseppe Iaria	86 0.3×	298 1.1×	57 0.4×	91 0.6×	60 0.8×	45	699
E. P. N. OʼDONOGHUE	87 0.3×	220 0.8×	403 2.6×	96 0.6×	72 1.0×	41	769
C. Lowdell	305 1.0×	240 0.9×	165 1.1×	64 0.4×	30 0.4×	29	660
Francesco Candiani	102 0.3×	340 1.3×	81 0.5×	99 0.6×	144 2.0×	26	593
Patrizia Pacini	165 0.5×	182 0.7×	110 0.7×	87 0.6×	145 2.0×	45	699
Alice Coogan	152 0.5×	142 0.5×	175 1.1×	87 0.6×	43 0.6×	34	566
Hiroaki Hazama	134 0.4×	153 0.6×	83 0.5×	346 2.3×	141 2.0×	19	699

Countries citing papers authored by John T. Preskitt

Since Specialization

Citations

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

Fields of papers citing papers by John T. Preskitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John T. Preskitt

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