Jeffrey Tredup

37 total papers · 1.3k total citations
17 papers, 360 citations indexed

About

Jeffrey Tredup is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Jeffrey Tredup has authored 17 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Immunology. Recurrent topics in Jeffrey Tredup's work include Protein Kinase Regulation and GTPase Signaling (9 papers), Cellular transport and secretion (4 papers) and Lipid Membrane Structure and Behavior (2 papers). Jeffrey Tredup is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (9 papers), Cellular transport and secretion (4 papers) and Lipid Membrane Structure and Behavior (2 papers). Jeffrey Tredup collaborates with scholars based in United States, Germany and Sweden. Jeffrey Tredup's co-authors include Mark R. Witmer, James R. Burke, Amy Kenter, Ti Chen, Alexander Vinitsky, Kurt R. Gregor, Kenneth M. Tramposch, Dianlin Xie, Gene M. Dubowchik and Vivekananda M. Vrudhula and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular and Cellular Biology.

In The Last Decade

Jeffrey Tredup

17 papers receiving 352 citations

Author Peers

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

Author						Papers	Cites
Jeffrey Tredup	191	109	71	64	42	17	360
Minhao Huang	196 1.0×	119 1.1×	81 1.1×	36 0.6×	13 0.3×	19	331
Arnaud Bourin	149 0.8×	83 0.8×	47 0.7×	30 0.5×	20 0.5×	10	326
Dexuan Yang	176 0.9×	71 0.7×	60 0.8×	28 0.4×	13 0.3×	15	328
Chao Yao	200 1.0×	151 1.4×	67 0.9×	25 0.4×	13 0.3×	21	402
Nicolas Soldermann	214 1.1×	151 1.4×	29 0.4×	37 0.6×	22 0.5×	15	374
George Lund	247 1.3×	52 0.5×	38 0.5×	20 0.3×	28 0.7×	12	362
Vito Coviello	177 0.9×	77 0.7×	85 1.2×	17 0.3×	13 0.3×	15	368
Paul A. Tuthill	167 0.9×	148 1.4×	66 0.9×	21 0.3×	14 0.3×	14	370
Shengyong Yang	184 1.0×	73 0.7×	101 1.4×	35 0.5×	7 0.2×	18	352
Amit Nathubhai	274 1.4×	113 1.0×	93 1.3×	48 0.8×	8 0.2×	16	381

Countries citing papers authored by Jeffrey Tredup

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey Tredup

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Tredup. 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 Jeffrey Tredup. The network helps show where Jeffrey Tredup may publish in the future.

Co-authorship network of co-authors of Jeffrey Tredup

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