Philip G. Cabaud

12 total papers · 839 total citations
11 papers, 723 citations indexed

About

Philip G. Cabaud is a scholar working on Surgery, Rheumatology and Molecular Biology. According to data from OpenAlex, Philip G. Cabaud has authored 11 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Rheumatology and 2 papers in Molecular Biology. Recurrent topics in Philip G. Cabaud's work include Cancer, Hypoxia, and Metabolism (1 paper), Bone and Dental Protein Studies (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). Philip G. Cabaud is often cited by papers focused on Cancer, Hypoxia, and Metabolism (1 paper), Bone and Dental Protein Studies (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). Philip G. Cabaud collaborates with scholars based in United States. Philip G. Cabaud's co-authors include Felix Wröblewski, Robert D. Leeper, Robert W. Hillman, Frank C. Hamm and Edward R. Dorney and has published in prestigious journals such as American Journal of Clinical Nutrition, Annals of Surgery and American Journal of Obstetrics and Gynecology.

In The Last Decade

Philip G. Cabaud

11 papers receiving 608 citations

Hit Papers

Colorimetric Measurement ... 1958 2026 1980 2003 1958 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Philip G. Cabaud 186 94 78 78 76 11 723
Sam Berkman 194 1.0× 146 1.6× 96 1.2× 77 1.0× 123 1.6× 11 868
Hossam M.M. Arafa 255 1.4× 99 1.1× 78 1.0× 58 0.7× 47 0.6× 28 906
J. de la Huerga 147 0.8× 50 0.5× 71 0.9× 64 0.8× 108 1.4× 28 669
Izabela Berdowska 220 1.2× 35 0.4× 49 0.6× 70 0.9× 69 0.9× 27 700
Zahur Zaman 147 0.8× 59 0.6× 136 1.7× 76 1.0× 228 3.0× 27 724
H. Talke 134 0.7× 49 0.5× 63 0.8× 112 1.4× 71 0.9× 24 672
Hongbo Weng 334 1.8× 50 0.5× 106 1.4× 47 0.6× 130 1.7× 30 827
Hiromi Ota 207 1.1× 66 0.7× 143 1.8× 22 0.3× 46 0.6× 12 860
L. L. Miller 248 1.3× 106 1.1× 125 1.6× 99 1.3× 134 1.8× 11 849
J Fischbein 335 1.8× 98 1.0× 154 2.0× 25 0.3× 144 1.9× 7 877

Countries citing papers authored by Philip G. Cabaud

Since Specialization
Citations

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

Fields of papers citing papers by Philip G. Cabaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip G. Cabaud. 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 Philip G. Cabaud. The network helps show where Philip G. Cabaud may publish in the future.

Co-authorship network of co-authors of Philip G. Cabaud

This figure shows the co-authorship network connecting the top 25 collaborators of Philip G. Cabaud. A scholar is included among the top collaborators of Philip G. Cabaud 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 Philip G. Cabaud. Philip G. Cabaud 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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