Geoffrey T. Smith

24 total papers · 1.5k total citations
20 papers, 1.2k citations indexed

About

Geoffrey T. Smith is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Geoffrey T. Smith has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Spectroscopy. Recurrent topics in Geoffrey T. Smith's work include Ubiquitin and proteasome pathways (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and RNA and protein synthesis mechanisms (3 papers). Geoffrey T. Smith is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and RNA and protein synthesis mechanisms (3 papers). Geoffrey T. Smith collaborates with scholars based in United States, United Kingdom and Canada. Geoffrey T. Smith's co-authors include Raymond J. Deshaies, Ruihua Fang, Sonja Hess, Michael J. Sweredoski, Johannes Graumann, J. Russell Lipford, Gabriela Alexandru, Yong Chi, Anastasia Kalli and Rati Verma and has published in prestigious journals such as Nature, Cell and Journal of the American Chemical Society.

In The Last Decade

Geoffrey T. Smith

18 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Geoffrey T. Smith	857	306	230	164	142	20	1.2k
Guido Sauer	870 1.0×	469 1.5×	97 0.4×	142 0.9×	74 0.5×	21	1.5k
Robyn M. Kaake	899 1.0×	261 0.9×	180 0.8×	86 0.5×	292 2.1×	28	1.3k
Peter Blattmann	547 0.6×	81 0.3×	208 0.9×	130 0.8×	122 0.9×	24	1.0k
Neysan Donnelly	886 1.0×	542 1.8×	203 0.9×	121 0.7×	44 0.3×	11	1.3k
Kevin Hakala	807 0.9×	258 0.8×	118 0.5×	209 1.3×	58 0.4×	31	1.2k
Thomas Linke	1.1k 1.2×	350 1.1×	78 0.3×	74 0.5×	76 0.5×	34	1.4k
Saranya Kittanakom	867 1.0×	173 0.6×	61 0.3×	167 1.0×	46 0.3×	28	1.2k
Akiyuki Hada	935 1.1×	425 1.4×	320 1.4×	181 1.1×	28 0.2×	23	1.5k
Laura Lawrie	773 0.9×	144 0.5×	69 0.3×	161 1.0×	186 1.3×	14	1.1k
Fabio Talamo	802 0.9×	130 0.4×	82 0.4×	107 0.7×	96 0.7×	28	1.2k

Countries citing papers authored by Geoffrey T. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey T. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey T. Smith

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