J. Marc Pipas

76 total papers · 3.2k total citations
58 papers, 2.4k citations indexed

About

J. Marc Pipas is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J. Marc Pipas has authored 58 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oncology, 18 papers in Cancer Research and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J. Marc Pipas's work include Pancreatic and Hepatic Oncology Research (25 papers), Colorectal Cancer Treatments and Studies (11 papers) and Cancer Genomics and Diagnostics (11 papers). J. Marc Pipas is often cited by papers focused on Pancreatic and Hepatic Oncology Research (25 papers), Colorectal Cancer Treatments and Studies (11 papers) and Cancer Genomics and Diagnostics (11 papers). J. Marc Pipas collaborates with scholars based in United States, United Kingdom and Spain. J. Marc Pipas's co-authors include John A. Baron, Electra D. Paskett, Nicholas J. Petrelli, Robert S. Sandler, Charles L. Loprinzi, Gideon Steinbach, Susan Budinger, Daniel D. Karp, Susan Halabi and Roger Keresztes and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

J. Marc Pipas

52 papers receiving 2.4k citations

Hit Papers

A Randomized Trial of Asp... 2003 2026 2010 2018 2003 250 500 750

Author Peers

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

Author Last Decade Papers Cites
J. Marc Pipas 1.3k 796 703 556 481 58 2.4k
Roger Keresztes 1.1k 0.8× 456 0.6× 656 0.9× 335 0.6× 694 1.4× 37 2.7k
Axel Grothey 2.0k 1.6× 412 0.5× 657 0.9× 515 0.9× 228 0.5× 82 3.3k
Susana M. Campos 1.6k 1.3× 346 0.4× 853 1.2× 317 0.6× 396 0.8× 101 3.2k
Rachel Midgley 1.7k 1.3× 559 0.7× 928 1.3× 287 0.5× 179 0.4× 56 2.8k
Anthony Douglas-Jones 1.1k 0.8× 1.1k 1.4× 1.1k 1.6× 550 1.0× 168 0.3× 91 3.3k
T.J. Powles 1.9k 1.5× 1.2k 1.5× 777 1.1× 327 0.6× 370 0.8× 73 3.7k
G Winde 864 0.7× 221 0.3× 405 0.6× 813 1.5× 261 0.5× 84 2.0k
Jin S. Lee 1.2k 0.9× 467 0.6× 1.3k 1.9× 475 0.9× 127 0.3× 61 3.4k
Rudolf Maibach 1.6k 1.2× 648 0.8× 684 1.0× 1.2k 2.2× 125 0.3× 73 3.7k
Timothy G. Cooke 1.9k 1.5× 902 1.1× 1.2k 1.7× 356 0.6× 99 0.2× 64 3.4k

Countries citing papers authored by J. Marc Pipas

Since Specialization
Citations

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

Fields of papers citing papers by J. Marc Pipas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Marc Pipas. 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 J. Marc Pipas. The network helps show where J. Marc Pipas may publish in the future.

Co-authorship network of co-authors of J. Marc Pipas

This figure shows the co-authorship network connecting the top 25 collaborators of J. Marc Pipas. A scholar is included among the top collaborators of J. Marc Pipas 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 J. Marc Pipas. J. Marc Pipas 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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