Daniel R. Scholes

512 total citations
21 papers, 388 citations indexed

About

Daniel R. Scholes is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniel R. Scholes has authored 21 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 10 papers in Molecular Biology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniel R. Scholes's work include Plant Stress Responses and Tolerance (6 papers), Plant and animal studies (5 papers) and Plant Reproductive Biology (4 papers). Daniel R. Scholes is often cited by papers focused on Plant Stress Responses and Tolerance (6 papers), Plant and animal studies (5 papers) and Plant Reproductive Biology (4 papers). Daniel R. Scholes collaborates with scholars based in United States, Italy and Australia. Daniel R. Scholes's co-authors include Ken N. Paige, Andrew V. Suarez, Martin Bohn, John A. Juvik, Ann Pearson, Feng Sheng Hu, David M. Nelson, Sindhu M. Krishnankutty, Raymond E. Zielinski and Adrian A. Smith and has published in prestigious journals such as PLoS ONE, Ecology and Earth and Planetary Science Letters.

In The Last Decade

Daniel R. Scholes

20 papers receiving 382 citations

Peers

Daniel R. Scholes
Comparison fields: 5 of 69
  • Plant Science 220
  • Molecular Biology 143
  • Ecology, Evolution, Behavior and Systematics 113
  • Nature and Landscape Conservation 72
  • Genetics 64
Replace Shun K. Hirota with:
Shun K. Hirota Japan
Patricia L. M. Lang Germany
Víctor L. Finot Chile
N. Ivalú Cacho United States
Mária Höhn Hungary
Jan Hackel United Kingdom
Alexander Gamisch Austria
Diego Alarcón Chile
P. B. Heenan New Zealand
Panagiota Malakasi United Kingdom
Shun K. Hirota Japan View profile →
Citations per field, relative to Daniel R. Scholes
Daniel R. Scholes · 1×
Citations per year, relative to Daniel R. Scholes
Daniel R. Scholes · 1×

Countries citing papers authored by Daniel R. Scholes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Scholes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Scholes

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Scholes. A scholar is included among the top collaborators of Daniel R. Scholes 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 Daniel R. Scholes. Daniel R. Scholes 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
# Work Indexed citations
1 6
2 3
3 1
4 8
5 21
6 6
7 13
8 8
9 5
10 110
11 9
12 2
13 19
14 38
15 4
16
The Genetic Basis of Overcompensation in Plants: A Synthesis
15
17 16
18 39
19 27
20 13

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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