Nathan D. Miller

62 total papers · 2.9k total citations
40 papers, 2.0k citations indexed

About

Nathan D. Miller is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Nathan D. Miller has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 17 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Nathan D. Miller's work include Plant Molecular Biology Research (19 papers), Plant nutrient uptake and metabolism (10 papers) and Plant Reproductive Biology (10 papers). Nathan D. Miller is often cited by papers focused on Plant Molecular Biology Research (19 papers), Plant nutrient uptake and metabolism (10 papers) and Plant Reproductive Biology (10 papers). Nathan D. Miller collaborates with scholars based in United States, Argentina and South Korea. Nathan D. Miller's co-authors include Edgar P. Spalding, Gabriele B. Monshausen, Daniel R. Lewis, Cheng Dai, Guosheng Wu, Angus Murphy, Simon Gilroy, Tessa Durham Brooks, Gloria K. Muday and Richard F. Helm and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and SHILAP Revista de lepidopterología.

In The Last Decade

Nathan D. Miller

39 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Nathan D. Miller 1.7k 977 192 133 90 40 2.0k
Qing Wang 1.5k 0.9× 787 0.8× 148 0.8× 245 1.8× 42 0.5× 73 2.0k
Camilla Beate Hill 1.8k 1.0× 803 0.8× 244 1.3× 72 0.5× 98 1.1× 62 2.3k
Douglas G. Muench 1.7k 1.0× 1.1k 1.1× 81 0.4× 68 0.5× 122 1.4× 52 2.4k
Rajib Roychowdhury 2.0k 1.2× 625 0.6× 167 0.9× 82 0.6× 94 1.0× 58 2.4k
Dominik K. Großkinsky 1.7k 1.0× 547 0.6× 92 0.5× 124 0.9× 127 1.4× 44 2.0k
Rohit Joshi 2.3k 1.3× 1.0k 1.1× 129 0.7× 76 0.6× 68 0.8× 89 2.7k
Francesco Cellini 1.8k 1.1× 1.0k 1.0× 371 1.9× 187 1.4× 73 0.8× 60 2.4k
Magdalena Julkowska 1.7k 1.0× 657 0.7× 90 0.5× 64 0.5× 58 0.6× 31 1.9k
Abdul Rahim Harun 1.9k 1.1× 610 0.6× 506 2.6× 79 0.6× 92 1.0× 85 2.2k
Christine Granier 2.5k 1.5× 758 0.8× 322 1.7× 262 2.0× 62 0.7× 46 2.9k

Countries citing papers authored by Nathan D. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Nathan D. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan D. Miller

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