Alexandre K. Monro

2.1k total citations · 2 hit papers
46 papers, 998 citations indexed

About

Alexandre K. Monro is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology and Plant Science. According to data from OpenAlex, Alexandre K. Monro has authored 46 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Ecology, Evolution, Behavior and Systematics, 22 papers in Molecular Biology and 17 papers in Plant Science. Recurrent topics in Alexandre K. Monro's work include Plant Diversity and Evolution (26 papers), Plant and animal studies (25 papers) and Plant and Fungal Species Descriptions (22 papers). Alexandre K. Monro is often cited by papers focused on Plant Diversity and Evolution (26 papers), Plant and animal studies (25 papers) and Plant and Fungal Species Descriptions (22 papers). Alexandre K. Monro collaborates with scholars based in United Kingdom, China and United States. Alexandre K. Monro's co-authors include Shawn W. Laffan, Michael D. Crisp, H. Peter Linder, Nadia Bystriakova, Long‐Fei Fu, Yi‐Gang Wei, Fang Wen, Alexandre Antonelli, Steven Dodsworth and Oscar A. Pérez‐Escobar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Alexandre K. Monro

42 papers receiving 941 citations

Hit Papers

Endemism in the Australian flora 2001 2026 2009 2017 2001 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandre K. Monro United Kingdom 12 519 390 294 223 200 46 998
Carlos E. González‐Orozco Australia 17 510 1.0× 610 1.6× 385 1.3× 183 0.8× 130 0.7× 26 1.0k
Gilles Dauby Belgium 16 530 1.0× 384 1.0× 260 0.9× 167 0.7× 221 1.1× 39 982
Florian C. Boucher France 17 710 1.4× 764 2.0× 365 1.2× 327 1.5× 197 1.0× 28 1.3k
Aelys M. Humphreys Sweden 19 816 1.6× 422 1.1× 232 0.8× 428 1.9× 334 1.7× 35 1.4k
Tariq Stévart Belgium 17 802 1.5× 420 1.1× 294 1.0× 195 0.9× 389 1.9× 99 1.2k
Nunzio Knerr Australia 19 628 1.2× 751 1.9× 506 1.7× 223 1.0× 141 0.7× 34 1.4k
Rafael Molina‐Venegas Spain 17 400 0.8× 462 1.2× 312 1.1× 246 1.1× 66 0.3× 42 997
Anne Blach‐Overgaard Denmark 13 339 0.7× 383 1.0× 378 1.3× 121 0.5× 96 0.5× 17 833
Jan Schnitzler Germany 22 650 1.3× 462 1.2× 275 0.9× 267 1.2× 323 1.6× 32 1.5k
Renske E. Onstein Germany 25 1.0k 2.0× 626 1.6× 253 0.9× 387 1.7× 387 1.9× 52 1.6k

Countries citing papers authored by Alexandre K. Monro

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre K. Monro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandre K. Monro. 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 Alexandre K. Monro. The network helps show where Alexandre K. Monro may publish in the future.

Co-authorship network of co-authors of Alexandre K. Monro

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

All Works

20 of 20 papers shown
2.
Bystriakova, Nadia, et al.. (2024). A new R package to parse plant species occurrence records into unique collection events efficiently reduces data redundancy. Scientific Reports. 14(1). 5450–5450. 2 indexed citations
3.
Ondo, Ian, Kiran L. Dhanjal‐Adams, Samuel Pironon, et al.. (2024). Plant diversity darkspots for global collection priorities. New Phytologist. 244(2). 719–733. 31 indexed citations breakdown →
4.
Ramírez‐Barahona, Santiago, et al.. (2023). How diverse are the mountain karst forests of Mexico?. PLoS ONE. 18(10). e0292352–e0292352. 5 indexed citations
5.
Magdalena, Carlos, Natalia A. S. Przelomska, Oscar A. Pérez‐Escobar, et al.. (2022). Revised Species Delimitation in the Giant Water Lily Genus Victoria (Nymphaeaceae) Confirms a New Species and Has Implications for Its Conservation. Frontiers in Plant Science. 13. 883151–883151. 11 indexed citations
6.
Fu, Long‐Fei, Alexandre K. Monro, Qiang Fan, et al.. (2022). Pilea danxiaensis (Urticaceae), a new species in the Danxia landform from Guangdong, China including a description of the entire chloroplast genome. PhytoKeys. 204. 109–119. 2 indexed citations
7.
Wu, Zeng‐Yuan, Richard I. Milne, Jie Liu, et al.. (2022). Phylogenomics and evolutionary history of Oreocnide (Urticaceae) shed light on recent geological and climatic events in SE Asia. Molecular Phylogenetics and Evolution. 175. 107555–107555. 12 indexed citations
8.
Liu, Jie, Gregory W. Stull, Moses C. Wambulwa, et al.. (2022). Deep Insights Into the Plastome Evolution and Phylogenetic Relationships of the Tribe Urticeae (Family Urticaceae). Frontiers in Plant Science. 13. 870949–870949. 21 indexed citations
9.
Fu, Long‐Fei, Alexandre K. Monro, & Yi‐Gang Wei. (2022). Cataloguing vascular plant diversity of karst caves in China. Biodiversity Science. 30(7). 21537–21537. 6 indexed citations
11.
Gardner, Elliot M., Mira Garner, Robyn S. Cowan, et al.. (2021). Repeated parallel losses of inflexed stamens in Moraceae: Phylogenomics and generic revision of the tribe Moreae and the reinstatement of the tribe Olmedieae (Moraceae). Taxon. 70(5). 946–988. 14 indexed citations
12.
Grace, Olwen M., Oscar A. Pérez‐Escobar, Eve Lucas, et al.. (2021). Botanical Monography in the Anthropocene. Trends in Plant Science. 26(5). 433–441. 33 indexed citations
13.
Fu, Long‐Fei, Alexandre K. Monro, Tiange Yang, et al.. (2021). Elatostema qinzhouense (Urticaceae), a new species from limestone karst in Guangxi, China. PeerJ. 9. e11148–e11148. 4 indexed citations
14.
Gardner, Elliot M., et al.. (2021). Phylogenomics of Brosimum (Moraceae) and allied genera, including a revised subgeneric system. Taxon. 70(4). 778–792. 3 indexed citations
15.
Stonis, Jonas R., Arūnas Diškus, M. Alma Solís, & Alexandre K. Monro. (2021). Diagnostics of Manitischeria gen. nov., an Old-World genus of leaf-mining Tischeriidae, composed of new species and species formerly in Tischeria Zeller. Zootaxa. 4964(2). zootaxa.4964.2.2–zootaxa.4964.2.2. 9 indexed citations
16.
Bystriakova, Nadia, Carolina Tovar, Alexandre K. Monro, et al.. (2021). Colombia’s bioregions as a source of useful plants. PLoS ONE. 16(8). e0256457–e0256457. 7 indexed citations
17.
Wells, Tom, Olivier Maurin, Steven Dodsworth, et al.. (2020). Combination of Sanger and target-enrichment markers supports revised generic delimitation in the problematic ‘Urera clade’ of the nettle family (Urticaceae). Molecular Phylogenetics and Evolution. 158. 107008–107008. 9 indexed citations
18.
Fu, Long‐Fei, et al.. (2019). The rediscovery and delimitation of Elatostema setulosum W.T.Wang (Urticaceae). PhytoKeys. 126. 79–88. 2 indexed citations
19.
Bystriakova, Nadia, et al.. (2019). A Preliminary Evaluation of The Karst Flora of Brazil Using Collections Data. Scientific Reports. 9(1). 17037–17037. 19 indexed citations
20.
Zhang, Zhi‐Qiang, Maarten J. M. Christenhusz, Hans‐Joachim Esser, et al.. (2014). The making of world’s largest journal in systematic botany. Phytotaxa. 191(1). 1 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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