J. W. Miller

35 total papers · 768 total citations
16 papers, 602 citations indexed

About

J. W. Miller is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, J. W. Miller has authored 16 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 7 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in J. W. Miller's work include Plant Pathogenic Bacteria Studies (8 papers), Plant Pathogens and Fungal Diseases (7 papers) and Banana Cultivation and Research (3 papers). J. W. Miller is often cited by papers focused on Plant Pathogenic Bacteria Studies (8 papers), Plant Pathogens and Fungal Diseases (7 papers) and Banana Cultivation and Research (3 papers). J. W. Miller collaborates with scholars based in United States, Australia and France. J. W. Miller's co-authors include Maurice S. Swanson, Robert Roberts, Nikolai A. Timchenko, Lubov Timchenko, C. Thomas Caskey, Li Lin, Jack D. Griffith, Carl R. Urbinati, Susan Michalowski and R. E. Stall and has published in prestigious journals such as Nucleic Acids Research, New Phytologist and Phytopathology.

In The Last Decade

J. W. Miller

13 papers receiving 576 citations

Author Peers

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

Author						Papers	Cites
J. W. Miller	493	309	106	80	73	16	602
Pierre Pouliquin	463 0.9×	234 0.8×	42 0.4×	178 2.2×	39 0.5×	14	558
Mateusz de Mezer	502 1.0×	300 1.0×	58 0.5×	37 0.5×	12 0.2×	19	623
Richard Pelletier	457 0.9×	249 0.8×	32 0.3×	26 0.3×	38 0.5×	11	524
Lan Wei	591 1.2×	249 0.8×	25 0.2×	255 3.2×	50 0.7×	19	657
Brennon O’Callaghan	530 1.1×	300 1.0×	19 0.2×	17 0.2×	57 0.8×	15	651
Leon R. Carlock	400 0.8×	283 0.9×	22 0.2×	45 0.6×	24 0.3×	19	587
Abrar Qurashi	531 1.1×	182 0.6×	56 0.5×	25 0.3×	100 1.4×	17	658
Sergio Salvatori	514 1.0×	211 0.7×	11 0.1×	127 1.6×	118 1.6×	26	614
Philipp Christoph Janiesch	422 0.9×	97 0.3×	17 0.2×	23 0.3×	100 1.4×	10	528
Koh Yano	323 0.7×	117 0.4×	17 0.2×	24 0.3×	68 0.9×	18	536

Countries citing papers authored by J. W. Miller

Since Specialization

Citations

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

Fields of papers citing papers by J. W. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. W. Miller

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