B.C. ORCUTT

25 total papers · 732 total citations
21 papers, 504 citations indexed

About

B.C. ORCUTT is a scholar working on Molecular Biology, Ecology and Artificial Intelligence. According to data from OpenAlex, B.C. ORCUTT has authored 21 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Artificial Intelligence. Recurrent topics in B.C. ORCUTT's work include Genomics and Phylogenetic Studies (12 papers), RNA and protein synthesis mechanisms (8 papers) and Glycosylation and Glycoproteins Research (4 papers). B.C. ORCUTT is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), RNA and protein synthesis mechanisms (8 papers) and Glycosylation and Glycoproteins Research (4 papers). B.C. ORCUTT collaborates with scholars based in United States, Japan and Germany. B.C. ORCUTT's co-authors include M. O. Dayhoff, Li‐Tzu Yeh, Winona C. Barker, G. Y. Srinivasarao, John S. Garavelli, Roger I. Jones, Cathy Wu, Peter B. McGarvey, Robert S. Ledley and W. C. Barker and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

B.C. ORCUTT

19 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
B.C. ORCUTT 424 47 41 37 36 21 504
Saad Haider 261 0.6× 26 0.6× 37 0.9× 16 0.4× 42 1.2× 18 483
Matthew B. Kerby 202 0.5× 26 0.6× 30 0.7× 15 0.4× 21 0.6× 16 527
Elisa Cilia 446 1.1× 35 0.7× 80 2.0× 15 0.4× 86 2.4× 18 552
Lin Liang 414 1.0× 24 0.5× 73 1.8× 15 0.4× 17 0.5× 28 554
Filippo Pullara 320 0.8× 21 0.4× 31 0.8× 38 1.0× 64 1.8× 17 524
Snezana Drmanac 485 1.1× 18 0.4× 47 1.1× 22 0.6× 17 0.5× 18 607
Nawar Malhis 441 1.0× 18 0.4× 103 2.5× 23 0.6× 69 1.9× 18 517
Gregory S. Stupp 417 1.0× 120 2.6× 72 1.8× 14 0.4× 14 0.4× 18 544
Evangelos Karatzas 294 0.7× 24 0.5× 27 0.7× 30 0.8× 8 0.2× 29 470
Gabriele Orlando 458 1.1× 31 0.7× 95 2.3× 9 0.2× 78 2.2× 25 612

Countries citing papers authored by B.C. ORCUTT

Since Specialization
Citations

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

Fields of papers citing papers by B.C. ORCUTT

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B.C. ORCUTT

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