J. J. Miller

137 total papers · 4.9k total citations
87 papers, 1.7k citations indexed

About

J. J. Miller is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, J. J. Miller has authored 87 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 17 papers in Plant Science and 13 papers in Food Science. Recurrent topics in J. J. Miller's work include Fungal and yeast genetics research (26 papers), Yeasts and Rust Fungi Studies (13 papers) and Fermentation and Sensory Analysis (13 papers). J. J. Miller is often cited by papers focused on Fungal and yeast genetics research (26 papers), Yeasts and Rust Fungi Studies (13 papers) and Fermentation and Sensory Analysis (13 papers). J. J. Miller collaborates with scholars based in United States, Canada and Austria. J. J. Miller's co-authors include R. D. Pontefract, J. H. Tremaine, O. Hoffmann‐Ostenhof, C. Ramírez, Moritz Hardt, Charles F. Delwiche, Marilyn L. Shaw, John L. Santa, Edward J. Wegman and Alan Musgrave and has published in prestigious journals such as Nature, Psychological Bulletin and Applied and Environmental Microbiology.

In The Last Decade

J. J. Miller

82 papers receiving 1.5k citations

Author Peers

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

Author						Papers	Cites
J. J. Miller	557	222	218	169	158	87	1.7k
Geert De Soete	368 0.7×	213 1.0×	189 0.9×	74 0.4×	111 0.7×	56	1.8k
Carla M. Carvalho	594 1.1×	325 1.5×	269 1.2×	115 0.7×	445 2.8×	42	2.1k
M.S. Sánchez	196 0.4×	111 0.5×	224 1.0×	210 1.2×	54 0.3×	65	1.7k
Abhaya Indrayan	154 0.3×	92 0.4×	95 0.4×	163 1.0×	54 0.3×	98	1.6k
Tong Tong Wu	413 0.7×	137 0.6×	62 0.3×	41 0.2×	196 1.2×	85	1.7k
Daeyoung Kim	407 0.7×	74 0.3×	80 0.4×	165 1.0×	100 0.6×	80	1.3k
M. Luz Calle	802 1.4×	149 0.7×	79 0.4×	63 0.4×	176 1.1×	45	1.6k
Daniel R. Jeske	205 0.4×	165 0.7×	27 0.1×	138 0.8×	325 2.1×	125	2.0k
Christiane Guinot	137 0.2×	111 0.5×	183 0.8×	56 0.3×	60 0.4×	71	1.9k
Sun Young Hwang	495 0.9×	65 0.3×	160 0.7×	73 0.4×	241 1.5×	125	2.0k

Countries citing papers authored by J. J. Miller

Since Specialization

Citations

This map shows the geographic impact of J. J. 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. J. 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. J. Miller more than expected).

Fields of papers citing papers by J. J. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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