David Glenny

2.1k citations
59 papers · 1.1k · h-index 16

Impact in

Papers in

David Glenny

55 papers receiving 1.0k citations

Peers

David Glenny
Comparison fields: 5 of 48
  • Ecology, Evolution, Behavior and Systematics 877
  • Plant Science 645
  • Nature and Landscape Conservation 156
  • Ecological Modeling 47
  • Paleontology 59
Replace Patrick J. Brownsey with:
Patrick J. Brownsey New Zealand
Ana Rosa Burgaz Spain
J. Alfredo Reyes‐Betancort Spain
Yasuyuki Watano Japan
Matthew Jebb United Kingdom
Benjamin Laenen Sweden
Leon R. Perrie New Zealand
Philip Thomas United Kingdom
Jairo Patiño Spain
Michael Stech Netherlands
David Glenny relative to Patrick J. Brownsey New Zealand Patrick J. Brownsey's profile →
Citations per field
00.5×1.5×
Patrick J. Brownsey · 1×
Citations per year

Countries citing papers authored by David Glenny

Since Specialization
Citations

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

Fields of papers citing papers by David Glenny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Glenny, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Glenny Line = papers co-authored together David Glenny links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002182
2 2006171
3 2001120
4 200366
5 199950
6 199949
7 200645
8
Phylogeny of liverworts – beyond a leaf and a thallus.
200444
9
A flora of the liverworts and hornworts of New Zealand
200838
10 201430
11 200426
12 199823
13 199022
14 199721
15 201919
16 199817
17 199714
18 200914
19 201013
20 199610

About David Glenny

David Glenny is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Ecology, Molecular Biology and Oceanography, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Botany and Plant Ecology Studies (40 papers), Bryophyte Studies and Records (35 papers), Lichen and fungal ecology (23 papers), Plant Diversity and Evolution (14 papers), Botany, Ecology, and Taxonomy Studies (9 papers), Fern and Epiphyte Biology (6 papers), Plant and Fungal Species Descriptions (5 papers) and Peatlands and Wetlands Ecology (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (877 citations), Plant Science (645 citations), Nature and Landscape Conservation (156 citations), Ecological Modeling (47 citations) and Paleontology (59 citations). David Glenny has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Steven J. Wagstaff, Peter J. Lockhart, Richard C. Winkworth, Sinikka Piippo, Aino Juslén, John J. Engel, Xiaolan He, Ilse Breitwieser, Daniel H. Huson and Patricia A. McLenachan. Their work appears in journals such as Journal of Bryology, Phytotaxa, Australian Systematic Botany, The Bryologist and Molecular Phylogenetics and Evolution.

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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