Bernard Wone

1.2k citations
27 papers · 764 · h-index 13

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 4
    • Metabolomics and Mass Spectrometry Studies 3
    • Physiological and biochemical adaptations 8

Bernard Wone

26 papers receiving 754 citations

Peers

Bernard Wone
Comparison fields: 5 of 77
  • Ecology, Evolution, Behavior and Systematics 223
  • Plant Science 398
  • Ecological Modeling 38
  • Ecology 177
  • Global and Planetary Change 120
Replace Ilkka Kronholm with:
Ilkka Kronholm Finland
Gustavo Souza Brazil
Kristin Sikkink United States
John T. Lovell United States
Irvin L. Pan United States
Shingo Kaneko Japan
Chris Thoen Belgium
Daniel A. Bastías New Zealand
Jordi Salmona France
Mariano Álvarez United States
Bernard Wone relative to Ilkka Kronholm Finland Ilkka Kronholm's profile →
Citations per field
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Ilkka Kronholm · 1×
Citations per year

Countries citing papers authored by Bernard Wone

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Wone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011189
2 2012116
3 201284
4 200975
5 201755
6 201339
7 200331
8 201530
9 199820
10 201317
11 202116
12 201116
13 202113
14 201812
15 20189
16 20139
17 20218
18 20167
19 20244
20 20183

About Bernard Wone

Bernard Wone is a scholar working on Molecular Biology, Ecology, Physiology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 27 papers that have together received 764 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (8 papers), Adipose Tissue and Metabolism (8 papers), Plant Stress Responses and Tolerance (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Plant Molecular Biology Research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Genetics and Physical Performance (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (223 citations), Plant Science (398 citations), Ecological Modeling (38 citations), Ecology (177 citations) and Global and Planetary Change (120 citations). Bernard Wone has collaborated with scholars based in United States, Ireland and Denmark. Frequent co-authors include John C. Cushman, Melvin J. Oliver, John Ryals, Lining Guo, Danny C. Alexander, Jack P. Hayes, Abou Yobi, Wenxin Xu, Marta K. Labocha and Michael W. Sears. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Journal of Herpetology, The FASEB Journal, Nanoscale Advances and Scientific Reports.

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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