Daniel P. Matton

2.4k citations
67 papers · 2.0k indexed · h-index 26

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 532
  • Molecular Biology 1.6k
  • Biotechnology 91
  • Horticulture 6
Replace Wan‐Jung Chang with:
Wan‐Jung Chang Taiwan
Francisco Madueño Spain
Ole Mattsson Denmark
Tracey A. Ruhlman United States
Helmut Bäumlein Germany
Guang‐Yuh Jauh Taiwan
Hélène San Clemente France
Beverly A. Underwood United States
Mengliang Cao China
Reidunn B. Aalen Norway
Daniel P. Matton relative to Wan‐Jung Chang Taiwan Wan‐Jung Chang's profile →
Citations per field
00.5×2.7×
Wan‐Jung Chang · 1×
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-authorship network

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
#Work
1 20193
2 20192
3 20132
4 201141
5 201011
6 20078
7 20077
8 200637
9 200519
10 200518
11 200519
12 20039
13 200287
14 200234
15 19994
16 199625
17 199547
18 199060
19 199011
20 19907

About Daniel P. Matton

Daniel P. Matton is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Food Science and Immunology and Allergy, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Plant Reproductive Biology (43 papers), Plant Molecular Biology Research (30 papers), Plant tissue culture and regeneration (11 papers), Plant-Microbe Interactions and Immunity (10 papers), Potato Plant Research (9 papers), Plant and animal studies (8 papers), Photosynthetic Processes and Mechanisms (7 papers) and Plant Disease Resistance and Genetics (6 papers). The work is most often cited by research in Plant Science (1.6k citations), Ecology, Evolution, Behavior and Systematics (532 citations), Molecular Biology (1.6k citations), Biotechnology (91 citations) and Horticulture (6 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, Xike Qin, Claude Bertrand and Rajagopal Subramaniam. 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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