R. T. MacFarland

20 total papers · 1.3k total citations
16 papers, 1.0k citations indexed

About

R. T. MacFarland is a scholar working on Molecular Biology, Oncology and Biomaterials. According to data from OpenAlex, R. T. MacFarland has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Biomaterials. Recurrent topics in R. T. MacFarland's work include Phytochemistry and Bioactive Compounds (4 papers), Chemokine receptors and signaling (4 papers) and Phytochemical Studies and Bioactivities (4 papers). R. T. MacFarland is often cited by papers focused on Phytochemistry and Bioactive Compounds (4 papers), Chemokine receptors and signaling (4 papers) and Phytochemical Studies and Bioactivities (4 papers). R. T. MacFarland collaborates with scholars based in United States, Belgium and Canada. R. T. MacFarland's co-authors include Gary Bridger, Geoffrey Henson, Charles Flexner, Craig W. Hendrix, Joseph A. Beavo, Bruce D. Zelus, Edward J. Fuchs, Karin Badel, Gary Calandra and Marshall J. Glesby and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Antimicrobial Agents and Chemotherapy.

In The Last Decade

R. T. MacFarland

16 papers receiving 1000 citations

Author Peers

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

Author Last Decade Papers Cites
R. T. MacFarland 421 418 338 212 208 16 1.0k
Shalley K. Gupta 498 1.2× 532 1.3× 394 1.2× 64 0.3× 83 0.4× 15 1.1k
Hye‐Sook Kwon 389 0.9× 194 0.5× 421 1.2× 88 0.4× 144 0.7× 23 1.0k
Annette Schwartz 257 0.6× 198 0.5× 297 0.9× 52 0.2× 84 0.4× 17 911
Lino L. Teichmann 672 1.6× 227 0.5× 214 0.6× 31 0.1× 183 0.9× 26 1.2k
Susan Swift 281 0.7× 243 0.6× 428 1.3× 50 0.2× 481 2.3× 20 1.1k
Luciana Masiello 127 0.3× 494 1.2× 607 1.8× 64 0.3× 82 0.4× 20 1.2k
Raffaella Guerriero 204 0.5× 147 0.4× 357 1.1× 56 0.3× 494 2.4× 28 1.0k
Corinne Hiéblot 341 0.8× 117 0.3× 494 1.5× 79 0.4× 64 0.3× 25 1.1k
Christine Schweitzer 155 0.4× 249 0.6× 276 0.8× 125 0.6× 84 0.4× 18 912
Leal Oburoglu 414 1.0× 106 0.3× 327 1.0× 91 0.4× 58 0.3× 16 827

Countries citing papers authored by R. T. MacFarland

Since Specialization
Citations

This map shows the geographic impact of R. T. MacFarland'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 R. T. MacFarland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. T. MacFarland more than expected).

Fields of papers citing papers by R. T. MacFarland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. T. MacFarland

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