Brian T. Golitz

53 total papers · 582 total citations
16 papers, 276 citations indexed

About

Brian T. Golitz is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Brian T. Golitz has authored 16 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Brian T. Golitz's work include Protein Degradation and Inhibitors (3 papers), Computational Drug Discovery Methods (3 papers) and Melanoma and MAPK Pathways (3 papers). Brian T. Golitz is often cited by papers focused on Protein Degradation and Inhibitors (3 papers), Computational Drug Discovery Methods (3 papers) and Melanoma and MAPK Pathways (3 papers). Brian T. Golitz collaborates with scholars based in United States and Germany. Brian T. Golitz's co-authors include Gary L. Johnson, Jon S. Zawistowski, Noah Sciaky, Joel S. Parker, Deborah A. Granger, Kazuhiro Nakamura, Naim U. Rashid, Mohanish Deshmukh, Vijay Swahari and Bingying Zhou and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Research and The FASEB Journal.

In The Last Decade

Brian T. Golitz

13 papers receiving 276 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. Golitz 212 77 59 28 23 16 276
Thibault Houlès 203 1.0× 85 1.1× 58 1.0× 21 0.8× 26 1.1× 12 291
Simone Jueliger 166 0.8× 63 0.8× 50 0.8× 23 0.8× 40 1.7× 16 240
Courtney L. Andersen 141 0.7× 68 0.9× 39 0.7× 30 1.1× 38 1.7× 17 284
Anna A. Marusiak 189 0.9× 82 1.1× 70 1.2× 42 1.5× 17 0.7× 16 254
Karen Jung 218 1.0× 105 1.4× 90 1.5× 25 0.9× 42 1.8× 19 329
Romain M. Larive 233 1.1× 87 1.1× 51 0.9× 17 0.6× 33 1.4× 18 323
Weijie Song 190 0.9× 87 1.1× 78 1.3× 19 0.7× 38 1.7× 11 270
Jingying Cao 237 1.1× 68 0.9× 68 1.2× 13 0.5× 16 0.7× 11 286
Hanna Karvonen 224 1.1× 105 1.4× 59 1.0× 31 1.1× 28 1.2× 13 327
Shiyi Yu 249 1.2× 95 1.2× 66 1.1× 28 1.0× 26 1.1× 21 328

Countries citing papers authored by Brian T. Golitz

Since Specialization
Citations

This map shows the geographic impact of Brian T. Golitz'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. Golitz 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. Golitz more than expected).

Fields of papers citing papers by Brian T. Golitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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