John Daniel Curtis

1.3k citations
51 papers · 1.0k · h-index 20

Impact in

Papers in

John Daniel Curtis

51 papers receiving 956 citations

Peers

John Daniel Curtis
Comparison fields: 5 of 80
  • Ecology, Evolution, Behavior and Systematics 448
  • Plant Science 585
  • Cancer Research 121
  • Forestry 31
  • Molecular Biology 422
Replace Marie‐Stéphanie Samain with:
Marie‐Stéphanie Samain Mexico
Denise María Trombert Oliveira Brazil
Anthony Russell Bean Australia
Fangyun Cheng China
Esther Gerber Switzerland
Mostafa Assadi Iran
Egizia Falistocco Italy
Christoph Dobeś Austria
Walter W. Schwabe United Kingdom
Kiyotoshi Takeno Japan
John Daniel Curtis relative to Marie‐Stéphanie Samain Mexico Marie‐Stéphanie Samain's profile →
Citations per field
00.5×2×3×3.6×
Marie‐Stéphanie Samain · 1×
Citations per year

Countries citing papers authored by John Daniel Curtis

Since Specialization
Citations

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

Fields of papers citing papers by John Daniel Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside John Daniel Curtis, 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 John Daniel Curtis Line = papers co-authored together John Daniel Curtis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200670
2 199063
3 197462
4 198857
5 199652
6 199448
7 198444
8 199236
9 200136
10 198533
11 197831
12 198827
13 198327
14 198626
15 198623
16 199322
17 199122
18 198921
19 199720
20 197420

About John Daniel Curtis

John Daniel Curtis is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Nature and Landscape Conservation, Cell Biology and Cancer Research, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant Diversity and Evolution (19 papers), Plant Taxonomy and Phylogenetics (11 papers), Mediterranean and Iberian flora and fauna (8 papers), Fern and Epiphyte Biology (7 papers), Botany, Ecology, and Taxonomy Studies (7 papers), Plant Reproductive Biology (6 papers), Plant Pathogens and Fungal Diseases (6 papers) and Plant and animal studies (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (448 citations), Plant Science (585 citations), Cancer Research (121 citations), Forestry (31 citations) and Molecular Biology (422 citations). John Daniel Curtis has collaborated with scholars based in United States. Frequent co-authors include Nels R. Lersten, Harry T. Horner, Bruce E. Haissig, Richard A. Popham, P. A. Dailey, Curtis L. Baysinger, Michael J. Collins, Mark Alan Rosen, Michael I. Norton and Rebecca L. Davis. Their work appears in journals such as American Journal of Botany, Plant Systematics and Evolution, New Phytologist, International Journal of Plant Sciences and Canadian Journal of Forest Research.

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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