Vincent T. Bicocca

71 total papers · 489 total citations
20 papers, 345 citations indexed

About

Vincent T. Bicocca is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Vincent T. Bicocca has authored 20 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Surgery and 3 papers in Oncology. Recurrent topics in Vincent T. Bicocca's work include Bladder and Urothelial Cancer Treatments (7 papers), Epigenetics and DNA Methylation (5 papers) and Genomics and Chromatin Dynamics (4 papers). Vincent T. Bicocca is often cited by papers focused on Bladder and Urothelial Cancer Treatments (7 papers), Epigenetics and DNA Methylation (5 papers) and Genomics and Chromatin Dynamics (4 papers). Vincent T. Bicocca collaborates with scholars based in United States, Japan and Finland. Vincent T. Bicocca's co-authors include Jeffrey Tyner, Bill H. Chang, Brian Druker, Marc Loriaux, Markus Müschen, Behzad Kharabi Masouleh, Eric U. Selker, Shinji Honda, Keyur K. Adhvaryu and Tereza Ormsby and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Vincent T. Bicocca

17 papers receiving 343 citations

Author Peers

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

Author Last Decade Papers Cites
Vincent T. Bicocca 160 59 59 34 34 20 345
Marieke Lamers 278 1.7× 23 0.4× 78 1.3× 32 0.9× 29 0.9× 14 390
Markus Dangl 256 1.6× 90 1.5× 91 1.5× 15 0.4× 16 0.5× 14 339
L. Juliano 215 1.3× 25 0.4× 116 2.0× 49 1.4× 21 0.6× 23 388
R.G. Fish 162 1.0× 82 1.4× 61 1.0× 12 0.4× 14 0.4× 26 346
Guohua Jiang 319 2.0× 20 0.3× 33 0.6× 26 0.8× 15 0.4× 18 395
J. Stamberg 151 0.9× 78 1.3× 17 0.3× 49 1.4× 11 0.3× 17 329
Yang Yu 196 1.2× 53 0.9× 32 0.5× 7 0.2× 16 0.5× 29 399
XH Wang 120 0.8× 45 0.8× 83 1.4× 14 0.4× 26 0.8× 19 361
J J Fawcett 228 1.4× 67 1.1× 54 0.9× 10 0.3× 12 0.4× 12 367
Chiyoko Satoh 189 1.2× 43 0.7× 15 0.3× 15 0.4× 42 1.2× 26 312

Countries citing papers authored by Vincent T. Bicocca

Since Specialization
Citations

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

Fields of papers citing papers by Vincent T. Bicocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent T. Bicocca

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