Jeffrey V. Miller

8 total papers · 588 total citations
7 papers, 474 citations indexed

About

Jeffrey V. Miller is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biotechnology. According to data from OpenAlex, Jeffrey V. Miller has authored 7 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Biotechnology. Recurrent topics in Jeffrey V. Miller's work include Microbial Metabolic Engineering and Bioproduction (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Microbial metabolism and enzyme function (2 papers). Jeffrey V. Miller is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Microbial metabolism and enzyme function (2 papers). Jeffrey V. Miller collaborates with scholars based in United States and Germany. Jeffrey V. Miller's co-authors include David A. Estell, Robert A. Lazarus, Michael A. Raftery, Paul Hartig, H P Moore, Steven G. Blanchard, Wilson C.‐S. Wu, Catherine D. Strader, Janet Elliott and David R. Light and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jeffrey V. Miller

7 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Jeffrey V. Miller	370	86	57	48	44	7	474
J. Watson	348 0.9×	70 0.8×	32 0.6×	30 0.6×	29 0.7×	9	491
L. Nedyalkova	301 0.8×	42 0.5×	47 0.8×	23 0.5×	14 0.3×	9	527
Wendy S. Smith	329 0.9×	101 1.2×	28 0.5×	58 1.2×	11 0.3×	10	463
Rosa Uy	296 0.8×	66 0.8×	26 0.5×	17 0.4×	44 1.0×	8	454
James A. Patterson	267 0.7×	77 0.9×	27 0.5×	74 1.5×	17 0.4×	8	545
Mahmoud Ghanem	364 1.0×	39 0.5×	24 0.4×	98 2.0×	19 0.4×	17	506
Werner Mewes	327 0.9×	54 0.6×	22 0.4×	18 0.4×	20 0.5×	7	449
Dong‐Seung Seen	302 0.8×	37 0.4×	29 0.5×	13 0.3×	21 0.5×	7	479
C. Peneff	393 1.1×	17 0.2×	29 0.5×	54 1.1×	55 1.3×	9	522
James C. Bearden	313 0.8×	46 0.5×	30 0.5×	17 0.4×	23 0.5×	8	477

Countries citing papers authored by Jeffrey V. Miller

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey V. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey V. Miller

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