Michael J. Moore

11.9k total citations · 5 hit papers
123 papers, 7.0k citations indexed

About

Michael J. Moore is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology and Plant Science. According to data from OpenAlex, Michael J. Moore has authored 123 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Ecology, Evolution, Behavior and Systematics, 55 papers in Molecular Biology and 30 papers in Plant Science. Recurrent topics in Michael J. Moore's work include Plant Diversity and Evolution (51 papers), Plant and Fungal Species Descriptions (32 papers) and Plant and animal studies (26 papers). Michael J. Moore is often cited by papers focused on Plant Diversity and Evolution (51 papers), Plant and Fungal Species Descriptions (32 papers) and Plant and animal studies (26 papers). Michael J. Moore collaborates with scholars based in United States, China and United Kingdom. Michael J. Moore's co-authors include Pamela S. Soltis, Charles D. Bell, Ting‐Shuang Yi, Li D, Xiao‐Jian Qu, Stephen A. Smith, Ya Yang, Samuel F. Brockington, J. Gordon Burleigh and Joseph W. Brown and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Michael J. Moore

118 papers receiving 6.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes

2019 751 citations Michael J. Moore et al. profile →
Phylogenetic analysis of 83 plastid genes further resolves the early diversification of eudicots

2010 558 citations Michael J. Moore, Pamela S. Soltis et al. profile →
Using plastid genome-scale data to resolve enigmatic relationships among basal angiosperms

2007 550 citations Michael J. Moore, Pamela S. Soltis et al. profile →
Contemporaneous and recent radiations of the world's major succulent plant lineages

2011 399 citations Michael J. Moore et al. profile →
Analysis of phylogenomic datasets reveals conflict, concordance, and gene duplications with examples from animals and plants

2015 348 citations Stephen A. Smith, Michael J. Moore et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael J. Moore United States	42	4.5k	3.9k	2.1k	1.3k	501	123	7.0k
Christopher S. Campbell United States	38	3.5k 0.8×	3.9k 1.0×	3.9k 1.8×	1.0k 0.8×	330 0.7×	101	8.0k
Anders Larsson Sweden	29	1.7k 0.4×	982 0.2×	854 0.4×	530 0.4×	110 0.2×	76	4.4k
Ewa Ziętkiewicz Poland	28	2.2k 0.5×	612 0.2×	2.2k 1.0×	1.9k 1.5×	266 0.5×	60	4.9k
Ya Yang China	26	1.6k 0.4×	1.1k 0.3×	853 0.4×	591 0.5×	229 0.5×	99	3.0k
Zhao Lai United States	31	2.3k 0.5×	1.0k 0.3×	1.8k 0.9×	1.4k 1.1×	70 0.1×	109	4.6k
Ken Kawamoto Japan	25	2.6k 0.6×	457 0.1×	3.0k 1.4×	2.9k 2.3×	171 0.3×	42	6.6k
John R. Wood United Kingdom	32	918 0.2×	1.0k 0.3×	1.0k 0.5×	324 0.3×	158 0.3×	188	3.7k
Christine Müller Germany	50	1.7k 0.4×	3.4k 0.9×	2.0k 1.0×	1.1k 0.9×	37 0.1×	115	6.8k
Jörg Fuchs Germany	50	5.6k 1.3×	557 0.1×	5.3k 2.5×	909 0.7×	107 0.2×	308	9.7k
Yingxiang Wang China	36	1.7k 0.4×	500 0.1×	1.7k 0.8×	556 0.4×	137 0.3×	172	3.5k

Countries citing papers authored by Michael J. Moore

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Moore. A scholar is included among the top collaborators of Michael J. Moore 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 Michael J. Moore. Michael J. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Palacio, Sara, et al.. (2024). Nutritional convergence in plants growing on gypsum soils in two distinct climatic regions. Annals of Botany. 134(6). 1003–1012. 1 indexed citations

Jang, H. Josh, Nakul M. Shah, Yonghao Liang, et al.. (2024). Epigenetic therapy potentiates transposable element transcription to create tumor-enriched antigens in glioblastoma cells. Nature Genetics. 56(9). 1903–1913. 19 indexed citations

Walker, Joseph F., Hannah E. Marx, Ya Yang, et al.. (2024). The link between ancient whole‐genome duplications and cold adaptations in the Caryophyllaceae. American Journal of Botany. 111(8). e16350–e16350. 5 indexed citations

Feng, Tao, Boas Pucker, Bo Song, et al.. (2023). The genome of the glasshouse plant noble rhubarb (Rheum nobile) provides a window into alpine adaptation. Communications Biology. 6(1). 14 indexed citations

Greene, Alicia, et al.. (2023). A Magnetic Resonance Imaging Protocol for the Evaluation of Pediatric Postappendectomy Abscess: A Quality Improvement Project. Journal of Surgical Research. 293. 587–595. 1 indexed citations

Fant, Jeremie B., et al.. (2023). Hawkmoth and bee pollinators impact pollen dispersal at the landscape but not local scales in two species of Oenothera. American Journal of Botany. 110(6). e16156–e16156. 5 indexed citations

Wang, Hong‐Xin, Diego F. Morales‐Briones, Michael J. Moore, Jun Wen, & Hua‐Feng Wang. (2021). A phylogenomic perspective on gene tree conflict and character evolution in Caprifoliaceae using target enrichment data, with Zabelioideae recognized as a new subfamily. Journal of Systematics and Evolution. 59(5). 897–914. 44 indexed citations

Jaimes, Camilo, et al.. (2021). Magnetic resonance imaging in children with implants. Pediatric Radiology. 51(5). 748–759. 7 indexed citations

Morales‐Briones, Diego F., Gudrun Kadereit, Michael J. Moore, et al.. (2020). Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l. Systematic Biology. 70(2). 219–235. 139 indexed citations

10.

Alazraki, Adina, Cynthia K. Rigsby, Ramesh S. Iyer, et al.. (2020). ACR Appropriateness Criteria® Vomiting in Infants. Journal of the American College of Radiology. 17(11). S505–S515. 7 indexed citations

11.

Sheehan, Hester, Tao Feng, Nathanael Walker‐Hale, et al.. (2019). Evolution of l‐DOPA 4,5‐dioxygenase activity allows for recurrent specialisation to betalain pigmentation in Caryophyllales. New Phytologist. 227(3). 914–929. 48 indexed citations

12.

Wang, Hong‐Xin, Huan Liu, Michael J. Moore, et al.. (2019). Plastid phylogenomic insights into the evolution of the Caprifoliaceae s.l. (Dipsacales). Molecular Phylogenetics and Evolution. 142. 106641–106641. 54 indexed citations

13.

Flores‐Olvera, Hilda, et al.. (2018). A new and unusual endemic species from the Chihuahuan Desert, Mexico: Antiphytum geoffreyi (Boraginaceae, Echiochiloideae). Phytotaxa. 367(3). 2 indexed citations

14.

Fritsch, Peter W., Michael J. Moore, Tao Feng, et al.. (2018). Plastid phylogenomics resolves infrafamilial relationships of the Styracaceae and sheds light on the backbone relationships of the Ericales. Molecular Phylogenetics and Evolution. 121. 198–211. 41 indexed citations

15.

Smith, Stephen A., Joseph W. Brown, Ya Yang, et al.. (2017). Disparity, diversity, and duplications in the Caryophyllales. New Phytologist. 217(2). 836–854. 54 indexed citations

16.

Yang, Ya, Michael J. Moore, Samuel F. Brockington, et al.. (2017). Improved transcriptome sampling pinpoints 26 ancient and more recent polyploidy events in Caryophyllales, including two allopolyploidy events. New Phytologist. 217(2). 855–870. 72 indexed citations

17.

Feng, Tao, Michael J. Moore, Yanxia Sun, et al.. (2017). Phylogenetic study of the tribe Potentilleae (Rosaceae), with further insight into the disintegration of Sibbaldia. Journal of Systematics and Evolution. 55(3). 177–191. 26 indexed citations

18.

Fant, Jeremie B., Michael J. Moore, Amy P. Hastings, et al.. (2016). Microsatellites for Oenothera gayleana and O. hartwegii subsp. filifolia (Onagraceae), and their utility in section Calylophus. Applications in Plant Sciences. 4(2). 3 indexed citations

19.

Givnish, Thomas J., Mercedes Ames, Joel R. McNeal, et al.. (2010). Assembling the Tree of the Monocotyledons: Plastome Sequence Phylogeny and Evolution of Poales¹. Annals of the Missouri Botanical Garden. 97(4). 584–616. 189 indexed citations

20.

Harden, Fiona, et al.. (2002). PCDDS; PCDFS and dioxin-like PCBS in human milk samples from Australia. Queensland's institutional digital repository (The University of Queensland). 56. 321–324. 4 indexed citations

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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