James T. Webber

117 total papers · 14.3k total citations
15 papers, 553 citations indexed

About

James T. Webber is a scholar working on Molecular Biology, Spectroscopy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, James T. Webber has authored 15 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Spectroscopy and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in James T. Webber's work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). James T. Webber is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). James T. Webber collaborates with scholars based in United States, Israel and Russia. James T. Webber's co-authors include Jarrod A. Marto, Scott B. Ficarro, Feng Zhou, Yi Zhang, Sourav Bandyopadhyay, John D. Gordan, Marlene J. Carrasco-Alfonso, Rebecca S. Levin, Chance John Luckey and Manor Askenazi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

James T. Webber

15 papers receiving 552 citations

Author Peers

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

Author						Papers	Cites
James T. Webber	388	197	91	55	49	15	553
Rikke Raaen Lund	325 0.8×	138 0.7×	135 1.5×	105 1.9×	40 0.8×	10	552
Tara Hiltke	389 1.0×	164 0.8×	61 0.7×	59 1.1×	21 0.4×	15	570
Kohji Nagano	383 1.0×	137 0.7×	59 0.6×	18 0.3×	76 1.6×	18	550
Michael Turewicz	340 0.9×	150 0.8×	36 0.4×	25 0.5×	38 0.8×	29	540
Wojciech Woźny	363 0.9×	125 0.6×	67 0.7×	30 0.5×	19 0.4×	17	523
Hannah Johnson	349 0.9×	133 0.7×	103 1.1×	66 1.2×	73 1.5×	26	522
Alice Yang	383 1.0×	172 0.9×	57 0.6×	25 0.5×	86 1.8×	14	627
Un‐Beom Kang	390 1.0×	150 0.8×	75 0.8×	49 0.9×	69 1.4×	23	599
Harvey E. Johnston	326 0.8×	67 0.3×	134 1.5×	62 1.1×	72 1.5×	15	606
Stephen R. Fuhs	557 1.4×	163 0.8×	126 1.4×	24 0.4×	62 1.3×	9	697

Countries citing papers authored by James T. Webber

Since Specialization

Citations

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

Fields of papers citing papers by James T. Webber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James T. Webber

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