Jan W. Maas

865 total citations
9 papers, 667 citations indexed

About

Jan W. Maas is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Jan W. Maas has authored 9 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Genetics. Recurrent topics in Jan W. Maas's work include Plant and Fungal Species Descriptions (6 papers), Plant Diversity and Evolution (6 papers) and Plant and animal studies (5 papers). Jan W. Maas is often cited by papers focused on Plant and Fungal Species Descriptions (6 papers), Plant Diversity and Evolution (6 papers) and Plant and animal studies (5 papers). Jan W. Maas collaborates with scholars based in Netherlands, United Kingdom and United States. Jan W. Maas's co-authors include Roy H. J. Erkens, Lars W. Chatrou, Thomas L. P. Couvreur, Michael D. Pirie, Johan B. Mols, Kurt M. Neubig, Mark W. Chase, Richard M. Saunders, J. Richard Abbott and Timotheüs van der Niet and has published in prestigious journals such as PLoS ONE, Phytochemistry and Journal of Biogeography.

In The Last Decade

Jan W. Maas

9 papers receiving 648 citations

Peers

Jan W. Maas

EEBS

BIOCH

GENET

Pedro Luís Rodrigues de Moraes Brazil

Leonid V. Averyanov Russia

R.P.J. de Kok United Kingdom

Hsi‐Wen Li China

Kent Kainulainen Sweden

James W. Horn United States

Lyn A. Craven Australia

Dennis W. Stevenson United States

Eugenio Santiago‐Valentín Puerto Rico

Tatyana Livshultz United States

Pedro Luís Rodrigues de Moraes Brazil

Jan W. Maas

487 ×1.0

EEBS

319 ×0.8

212 ×1.3

80 ×1.2

BIOCH

48 ×0.9

GENET

Citations per year, relative to Jan W. Maas Jan W. Maas (= 1×) peers Pedro Luís Rodrigues de Moraes

Countries citing papers authored by Jan W. Maas

Since Specialization

Citations

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

Fields of papers citing papers by Jan W. Maas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan W. Maas

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

All Works

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9 of 9 papers shown

Erkens, Roy H. J., Lars W. Chatrou, Tanawat Chaowasku, et al.. (2014). A decade of uncertainty: Resolving the phylogenetic position of Diclinanona (Annonaceae), including taxonomic notes and a key to the species. Taxon. 63(6). 1244–1252. 9 indexed citations

Chatrou, Lars W., Michael D. Pirie, Roy H. J. Erkens, et al.. (2012). A new subfamilial and tribal classification of the pantropical flowering plant family Annonaceae informed by molecular phylogenetics. Botanical Journal of the Linnean Society. 169(1). 5–40. 243 indexed citations

Groot, G.A. de, Heinjo J. During, Jan W. Maas, et al.. (2011). Use of rbcL and trnL-F as a Two-Locus DNA Barcode for Identification of NW-European Ferns: An Ecological Perspective. PLoS ONE. 6(1). e16371–e16371. 107 indexed citations

Chatrou, Lars W., Pilar Escribano, M.A. Viruel, et al.. (2009). Flanking regions of monomorphic microsatellite loci provide a new source of data for plant species-level phylogenetics. Molecular Phylogenetics and Evolution. 53(3). 726–733. 32 indexed citations

Erkens, Roy H. J., Jan W. Maas, & Thomas L. P. Couvreur. (2009). From Africa via Europe to South America: migrational route of a species‐rich genus of Neotropical lowland rain forest trees (Guatteria, Annonaceae). Journal of Biogeography. 36(12). 2338–2352. 60 indexed citations

Erkens, Roy H. J., et al.. (2008). Assessment of age and greenness of herbarium specimens as predictors for successful extraction and amplification of DNA. Blumea - Biodiversity Evolution and Biogeography of Plants. 53(2). 407–428. 58 indexed citations

Erkens, Roy H. J., Lars W. Chatrou, Jan W. Maas, Timotheüs van der Niet, & Vincent Savolainen. (2007). A rapid diversification of rainforest trees (Guatteria; Annonaceae) following dispersal from Central into South America. Molecular Phylogenetics and Evolution. 44(1). 399–411. 98 indexed citations

Erkens, Roy H. J., Lars W. Chatrou, J. Koek‐Noorman, Jan W. Maas, & Paul J. M. Maas. (2007). Classification of a large and widespread genus of Neotropical trees, Guatteria (Annonaceae) and its three satellite genera Guatteriella, Guatteriopsis and Heteropetalum. Taxon. 56(3). 757–774. 47 indexed citations

Brederode, J. van, et al.. (1980). The 2″-O-glucosylation of vitexin and isovitexin in petals of Silene alba is catalysed by two different enzymes. Phytochemistry. 19(9). 1935–1937. 13 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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