John P. Gustin

33 total papers · 1.1k total citations
12 papers, 640 citations indexed

About

John P. Gustin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, John P. Gustin has authored 12 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in John P. Gustin's work include PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer Genomics and Diagnostics (3 papers) and CRISPR and Genetic Engineering (3 papers). John P. Gustin is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer Genomics and Diagnostics (3 papers) and CRISPR and Genetic Engineering (3 papers). John P. Gustin collaborates with scholars based in United States, Russia and Puerto Rico. John P. Gustin's co-authors include Josh Lauring, Ben Ho Park, Hiroyuki Konishi, Abde M. Abukhdeir, Joseph P. Garay, David Cosgrove, Bedri Karakas, Yuko Konishi, Kurtis E. Bachman and Kyung Hee Yi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Cancer Research.

In The Last Decade

John P. Gustin

12 papers receiving 628 citations

Author Peers

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

Author						Papers	Cites
John P. Gustin	512	206	149	109	67	12	640
Umut H. Toprak	406 0.8×	221 1.1×	215 1.4×	73 0.7×	41 0.6×	13	724
Juliet Williams	483 0.9×	260 1.3×	126 0.8×	109 1.0×	84 1.3×	14	704
B Forseth	400 0.8×	200 1.0×	247 1.7×	55 0.5×	84 1.3×	18	670
Karen A. Reeves	437 0.9×	318 1.5×	197 1.3×	166 1.5×	34 0.5×	11	754
Bernard Leroy	451 0.9×	396 1.9×	286 1.9×	89 0.8×	63 0.9×	10	743
Edith A. Leonhardt	587 1.1×	254 1.2×	172 1.2×	64 0.6×	73 1.1×	11	763
Dan Lu	458 0.9×	202 1.0×	132 0.9×	85 0.8×	30 0.4×	16	692
Maïa Chanrion	512 1.0×	231 1.1×	194 1.3×	86 0.8×	69 1.0×	9	750
Takuma Shikata	457 0.9×	154 0.7×	85 0.6×	66 0.6×	35 0.5×	10	620
Grace R. Anderson	572 1.1×	189 0.9×	210 1.4×	63 0.6×	41 0.6×	13	761

Countries citing papers authored by John P. Gustin

Since Specialization

Citations

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

Fields of papers citing papers by John P. Gustin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Gustin

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