Daniel P. Matton

2.4k citations
67 papers · 2.1k · h-index 26

Impact in

Papers in

    • Plant Reproductive Biology 41
    • Plant tissue culture and regeneration 10
    • Photosynthetic Processes and Mechanisms 7
    • Plant Molecular Biology Research 28
    • Plant-Microbe Interactions and Immunity 9
    • Plant Virus Research Studies 6

Daniel P. Matton

67 papers receiving 2.0k citations

Peers

Daniel P. Matton
Comparison fields: 5 of 70
  • Plant Science 1.6k
  • Ecology, Evolution, Behavior and Systematics 552
  • Molecular Biology 1.6k
  • Biotechnology 95
  • Immunology and Allergy 22
Replace Wan‐Jung Chang with:
Wan‐Jung Chang Taiwan
Ole Mattsson Denmark
Guang‐Yuh Jauh Taiwan
Clay Carter United States
Beverly A. Underwood United States
Tracey A. Ruhlman United States
Françoise Grellet France
De Ye China
Reidunn B. Aalen Norway
Martha L. Crouch United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel P. Matton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Matton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997153
2 1989141
3 2004139
4 1994115
5 1995108
6 1999102
7 200293
8 200272
9 199064
10 199356
11 199547
12 200447
13 201245
14 201143
15 199940
16 199739
17 200538
18 200637
19 200237
20 200436

About Daniel P. Matton

Daniel P. Matton is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Food Science and Genetics, having authored 67 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant Reproductive Biology (41 papers), Plant Molecular Biology Research (28 papers), Plant tissue culture and regeneration (10 papers), Plant-Microbe Interactions and Immunity (9 papers), Potato Plant Research (9 papers), Plant and animal studies (8 papers), Photosynthetic Processes and Mechanisms (7 papers) and Plant Virus Research Studies (6 papers). The work is most often cited by research in Plant Science (1.6k citations), Ecology, Evolution, Behavior and Systematics (552 citations), Molecular Biology (1.6k citations), Biotechnology (95 citations) and Immunology and Allergy (22 citations). Daniel P. Matton has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Normand Brisson, Martin O’Brien, David Morse, Mario Cappadocia, Ed Newbigin, Adrienne E. Clarke, G. Laublin, Claude Bertrand, Rajagopal Subramaniam and Norbert Naß. Their work appears in journals such as Plant Molecular Biology, The Plant Cell, Planta, Plant Signaling & Behavior and The Plant Journal.

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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