Daniel E. Stanton

2.6k citations
45 papers · 1.0k · h-index 17

Impact in

Papers in

Daniel E. Stanton

44 papers receiving 977 citations

Peers

Daniel E. Stanton
Comparison fields: 5 of 123
  • Ecology, Evolution, Behavior and Systematics 384
  • Ecology 285
  • Gender Studies 92
  • Plant Science 350
  • Ecological Modeling 37
Replace Leslie R. Brown with:
Leslie R. Brown South Africa
Lesley G. Campbell United States
Ian D. Rotherham United Kingdom
Koichi Tanaka Japan
Jeremiah A. Henning United States
Parvin Sultana United Kingdom
Esther Sebastián‐González Spain
Bruce H. Pugesek United States
Julían Mónge-Nájera Costa Rica
S. J. Willott United Kingdom
Daniel E. Stanton relative to Leslie R. Brown South Africa Leslie R. Brown's profile →
Citations per field
00.5×3.7×
Leslie R. Brown · 1×
Citations per year

Countries citing papers authored by Daniel E. Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Stanton. 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 Daniel E. Stanton. The network helps show where Daniel E. Stanton may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel E. Stanton, 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 Daniel E. Stanton Line = papers co-authored together Daniel E. Stanton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012122
2 2015116
3 200695
4 202285
5 201478
6 200646
7 202045
8 201537
9 201932
10 201429
11 201326
12 201725
13 202323
14 202420
15 201419
16 200518
17 202216
18 202115
19 202113
20 201313

About Daniel E. Stanton

Daniel E. Stanton is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Ecology, Nature and Landscape Conservation and Atmospheric Science, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lichen and fungal ecology (19 papers), Biocrusts and Microbial Ecology (11 papers), Bryophyte Studies and Records (11 papers), Botany and Plant Ecology Studies (7 papers), Peatlands and Wetlands Ecology (5 papers), Geology and Paleoclimatology Research (5 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (384 citations), Ecology (285 citations), Gender Studies (92 citations), Plant Science (350 citations) and Ecological Modeling (37 citations). Daniel E. Stanton has collaborated with scholars based in United States, Australia and Chile. Frequent co-authors include Allison K. Shaw, Juan J. Armestó, Marilyn C. Ball, Pieter T. J. Johnson, Lars O. Hedin, Henry S. Horn, Nele Schmitz, Graham D. Farquhar, Hoa Thi Nguyen and Kenneth J. Forshay. Their work appears in journals such as Ecology, The Bryologist, American Journal of Botany, New Phytologist and Ecosphere.

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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