A. Dinsmoor Webb

104 total papers · 1.8k total citations
83 papers, 1.1k citations indexed

About

A. Dinsmoor Webb is a scholar working on Food Science, Plant Science and Molecular Biology. According to data from OpenAlex, A. Dinsmoor Webb has authored 83 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Food Science, 41 papers in Plant Science and 29 papers in Molecular Biology. Recurrent topics in A. Dinsmoor Webb's work include Fermentation and Sensory Analysis (57 papers), Horticultural and Viticultural Research (34 papers) and Plant biochemistry and biosynthesis (20 papers). A. Dinsmoor Webb is often cited by papers focused on Fermentation and Sensory Analysis (57 papers), Horticultural and Viticultural Research (34 papers) and Plant biochemistry and biosynthesis (20 papers). A. Dinsmoor Webb collaborates with scholars based in United States and Sweden. A. Dinsmoor Webb's co-authors include Richard E. Kepner, Carlos J. Müller, Linda Maggiora, C.J. van Wyk, Ralph E. Kunkee, Gordon J. Pilone, Robert M. Ikeda, D. W. Anderson, B. C. Rankine and Ann C. Noble and has published in prestigious journals such as Nature, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

A. Dinsmoor Webb

82 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
A. Dinsmoor Webb 757 424 329 267 215 83 1.1k
Richard E. Kepner 756 1.0× 472 1.1× 362 1.1× 256 1.0× 268 1.2× 83 1.3k
J. Crouzet 603 0.8× 513 1.2× 362 1.1× 324 1.2× 80 0.4× 55 1.2k
María João Cabrita 711 0.9× 531 1.3× 423 1.3× 231 0.9× 132 0.6× 69 1.4k
Siegfried Nitz 572 0.8× 470 1.1× 276 0.8× 208 0.8× 108 0.5× 38 1.1k
Manuel G. Moshonas 496 0.7× 508 1.2× 323 1.0× 274 1.0× 105 0.5× 66 1.1k
Rosaria Cozzolino 331 0.4× 455 1.1× 366 1.1× 158 0.6× 156 0.7× 63 1.1k
Ivana Bonaccorsi 782 1.0× 425 1.0× 539 1.6× 296 1.1× 327 1.5× 66 1.5k
Mónica Bueno 657 0.9× 378 0.9× 265 0.8× 364 1.4× 176 0.8× 52 1.4k
Renata Zawirska‐Wojtasiak 643 0.8× 377 0.9× 264 0.8× 397 1.5× 100 0.5× 55 1.5k
Jan Demyttenaere 503 0.7× 274 0.6× 404 1.2× 139 0.5× 180 0.8× 41 1.2k

Countries citing papers authored by A. Dinsmoor Webb

Since Specialization
Citations

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

Fields of papers citing papers by A. Dinsmoor Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Dinsmoor Webb. 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 A. Dinsmoor Webb. The network helps show where A. Dinsmoor Webb may publish in the future.

Co-authorship network of co-authors of A. Dinsmoor Webb

This figure shows the co-authorship network connecting the top 25 collaborators of A. Dinsmoor Webb. A scholar is included among the top collaborators of A. Dinsmoor Webb 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 A. Dinsmoor Webb. A. Dinsmoor Webb 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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