Alyssa M. Redding

15 total papers · 971 total citations
5 papers, 572 citations indexed

About

Alyssa M. Redding is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Infectious Diseases. According to data from OpenAlex, Alyssa M. Redding has authored 5 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Health, Toxicology and Mutagenesis and 1 paper in Infectious Diseases. Recurrent topics in Alyssa M. Redding's work include Glycosylation and Glycoproteins Research (1 paper), Enzyme Production and Characterization (1 paper) and Physiological and biochemical adaptations (1 paper). Alyssa M. Redding is often cited by papers focused on Glycosylation and Glycoproteins Research (1 paper), Enzyme Production and Characterization (1 paper) and Physiological and biochemical adaptations (1 paper). Alyssa M. Redding collaborates with scholars based in United States and China. Alyssa M. Redding's co-authors include Jay D. Keasling, Christopher J. Petzold, Eric J. Steen, Samuel A. Myers, Rossana Chan, Mario Ouellet, Aindrila Mukhopadhyay, Jizhong Zhou, Adam P. Arkin and Marcin P. Joachimiak and has published in prestigious journals such as Journal of Bacteriology, BMC Genomics and Journal of Proteome Research.

In The Last Decade

Alyssa M. Redding

5 papers receiving 558 citations

Author Peers

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

Author						Papers	Cites
Alyssa M. Redding	434	292	59	51	43	5	572
Daniel Bröker	377 0.9×	190 0.7×	54 0.9×	35 0.7×	30 0.7×	11	651
Lluis Masip	441 1.0×	83 0.3×	51 0.9×	95 1.9×	24 0.6×	12	694
F P Yu	393 0.9×	93 0.3×	75 1.3×	30 0.6×	18 0.4×	7	649
Matthew W. Keller	426 1.0×	197 0.7×	67 1.1×	60 1.2×	66 1.5×	18	646
Jan A. M. de Bont	379 0.9×	107 0.4×	77 1.3×	22 0.4×	18 0.4×	8	551
Helge K. Abicht	190 0.4×	108 0.4×	53 0.9×	126 2.5×	17 0.4×	12	682
Rohini Srinivasan	329 0.8×	57 0.2×	52 0.9×	36 0.7×	14 0.3×	5	569
Karen Lund	250 0.6×	96 0.3×	39 0.7×	74 1.5×	42 1.0×	15	539
Arnaud Lagorce	495 1.1×	93 0.3×	60 1.0×	33 0.6×	45 1.0×	13	621
I. Voß	364 0.8×	88 0.3×	54 0.9×	17 0.3×	34 0.8×	7	680

Countries citing papers authored by Alyssa M. Redding

Since Specialization

Citations

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

Fields of papers citing papers by Alyssa M. Redding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alyssa M. Redding. 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 Alyssa M. Redding. The network helps show where Alyssa M. Redding may publish in the future.

Co-authorship network of co-authors of Alyssa M. Redding

This figure shows the co-authorship network connecting the top 25 collaborators of Alyssa M. Redding. A scholar is included among the top collaborators of Alyssa M. Redding 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 Alyssa M. Redding. Alyssa M. Redding 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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