Matthew Zinkgraf

813 citations
25 papers · 594 indexed · h-index 15
Topics
Plant Molecular Biology Research (7 papers)Plant Gene Expression Analysis (6 papers)Ecology and Vegetation Dynamics Studies (6 papers)
Partner nations
United StatesSwedenChina

In The Last Decade

Matthew Zinkgraf

24 papers receiving 587 citations

Peers

Matthew Zinkgraf
Comparison fields: 5 of 55
  • Plant Science 364
  • Molecular Biology 265
  • Ecology, Evolution, Behavior and Systematics 139
  • Nature and Landscape Conservation 99
  • Genetics 77
Replace Gary J. Houliston with:
Gary J. Houliston New Zealand
David Macaya‐Sanz United States
Alejandra Vázquez‐Lobo Mexico
Gavin F. Moran Australia
John Frampton United States
Miki Okada United States
Carol A. Loopstra United States
Gancho T. Slavov United Kingdom
Daniel Verhaegen France
Jules S. Freeman Australia
Matthew Zinkgraf relative to Gary J. Houliston New Zealand Gary J. Houliston's profile →
Citations per field
00.5×3.7×
Gary J. Houliston · 1×
Citations per year

Countries citing papers authored by Matthew Zinkgraf

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Zinkgraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Zinkgraf

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Zinkgraf. A scholar is included among the top collaborators of Matthew Zinkgraf 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 Matthew Zinkgraf. Matthew Zinkgraf 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
#WorkIndexed citations
1 1
2 4
3 3
4 2
5 23
6 12
7 7
8 4
9 76
10 11
11 57
12 56
13 40
14 61
15 22
16
From genes to ecosystems: emerging concepts bridging ecological and evolutionary dynamics
4
17 14
18 25
19 24
20 14

About Matthew Zinkgraf

Matthew Zinkgraf is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 25 papers that have together received 594 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (7 papers), Plant Gene Expression Analysis (6 papers) and Ecology and Vegetation Dynamics Studies (6 papers). The work is most often cited by research in Plant Science (364 citations), Nature and Landscape Conservation (99 citations) and Ecology, Evolution, Behavior and Systematics (139 citations). Matthew Zinkgraf has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Andrew Groover, Vladimir Filkov, Lijun Liu, Thomas G. Whitham, Suzanne Gerttula, Luca Comai, Isabelle Henry, Victor Missirian, Zacchaeus G. Compson and Louis J. Lamit. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Plant Cell 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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