Cathleen Brdlik

16 total papers · 1.8k total citations
10 papers, 456 citations indexed

About

Cathleen Brdlik is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cathleen Brdlik has authored 10 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cathleen Brdlik's work include Monoclonal and Polyclonal Antibodies Research (4 papers), HER2/EGFR in Cancer Research (4 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Cathleen Brdlik is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), HER2/EGFR in Cancer Research (4 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Cathleen Brdlik collaborates with scholars based in United States, Spain and United Kingdom. Cathleen Brdlik's co-authors include H. Michael Shepard, Hans Schreiber, Craig M. Crews, M Snyder, Wei Niu, Jin Pei, Stuart K. Kim, Anthony A. Hyman, Mark Gerstein and Chao Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Cathleen Brdlik

10 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Cathleen Brdlik 262 178 132 72 45 10 456
Ivo Rimann 194 0.7× 85 0.5× 85 0.6× 15 0.2× 22 0.5× 11 414
Joong‐Gook Kim 229 0.9× 49 0.3× 89 0.7× 39 0.5× 24 0.5× 13 439
Makiko Inoue 187 0.7× 50 0.3× 189 1.4× 19 0.3× 19 0.4× 14 410
Scott McCauley 200 0.8× 188 1.1× 48 0.4× 13 0.2× 42 0.9× 13 454
Maaike C.W. van den Berg 243 0.9× 49 0.3× 119 0.9× 8 0.1× 14 0.3× 9 456
Michael Salmans 291 1.1× 156 0.9× 15 0.1× 35 0.5× 38 0.8× 10 497
Abel Soto-Gamez 206 0.8× 50 0.3× 47 0.4× 13 0.2× 21 0.5× 15 431
Sven Fischer 221 0.8× 56 0.3× 12 0.1× 45 0.6× 13 0.3× 11 486
Lisa McFerrin 273 1.0× 68 0.4× 13 0.1× 25 0.3× 56 1.2× 9 459
Estelle Llamosas 333 1.3× 93 0.5× 23 0.2× 14 0.2× 8 0.2× 17 429

Countries citing papers authored by Cathleen Brdlik

Since Specialization
Citations

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

Fields of papers citing papers by Cathleen Brdlik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cathleen Brdlik. 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 Cathleen Brdlik. The network helps show where Cathleen Brdlik may publish in the future.

Co-authorship network of co-authors of Cathleen Brdlik

This figure shows the co-authorship network connecting the top 25 collaborators of Cathleen Brdlik. A scholar is included among the top collaborators of Cathleen Brdlik 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 Cathleen Brdlik. Cathleen Brdlik 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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