Matthew C. Lucas

68 total papers · 1.0k total citations
32 papers, 528 citations indexed

About

Matthew C. Lucas is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew C. Lucas has authored 32 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Organic Chemistry and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew C. Lucas's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Mast cells and histamine (4 papers). Matthew C. Lucas is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Mast cells and histamine (4 papers). Matthew C. Lucas collaborates with scholars based in United States, United Kingdom and Switzerland. Matthew C. Lucas's co-authors include Marian Powderly, Peter D. Howes, Seng‐Lai Tan, Cheng Liao, Julie A. DeMartino, Christopher S. Stevenson, Pravin S. Iyer, Bertrand Le Bourdonnec, Kenneth J. Rhodes and Robert H. Scannevin and has published in prestigious journals such as Cancer Research, Chemical Communications and Journal of Medicinal Chemistry.

In The Last Decade

Matthew C. Lucas

29 papers receiving 514 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew C. Lucas 220 158 87 66 47 32 528
Daniel J. Burdick 96 0.4× 352 2.2× 47 0.5× 43 0.7× 29 0.6× 19 612
Antonio Limatola 91 0.4× 249 1.6× 26 0.3× 43 0.7× 34 0.7× 16 472
T Watanabe 81 0.4× 135 0.9× 46 0.5× 42 0.6× 62 1.3× 20 452
Kaoru Terai 77 0.3× 254 1.6× 37 0.4× 29 0.4× 24 0.5× 25 475
Yusuke Suzuki 106 0.5× 359 2.3× 60 0.7× 24 0.4× 49 1.0× 25 541
Patrick Berna 88 0.4× 313 2.0× 27 0.3× 23 0.3× 55 1.2× 18 505
Pedro Brugarolas 51 0.2× 270 1.7× 38 0.4× 30 0.5× 30 0.6× 43 563
Le Wang 66 0.3× 320 2.0× 50 0.6× 26 0.4× 22 0.5× 38 578
Naoko Katayama 124 0.6× 248 1.6× 135 1.6× 14 0.2× 26 0.6× 19 510
Junping Pei 109 0.5× 299 1.9× 27 0.3× 44 0.7× 21 0.4× 24 502

Countries citing papers authored by Matthew C. Lucas

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Lucas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Lucas. 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 Matthew C. Lucas. The network helps show where Matthew C. Lucas may publish in the future.

Co-authorship network of co-authors of Matthew C. Lucas

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Lucas. A scholar is included among the top collaborators of Matthew C. Lucas 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 Matthew C. Lucas. Matthew C. Lucas 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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