Daniel C. Ilut

1.7k citations
28 papers · 1.3k · h-index 18

Impact in

Papers in

    • Plant Virus Research Studies 4
    • Peanut Plant Research Studies 3
    • Chromosomal and Genetic Variations 3
    • Plant biochemistry and biosynthesis 5
    • Genomics and Phylogenetic Studies 3

Daniel C. Ilut

28 papers receiving 1.3k citations

Peers

Daniel C. Ilut
Comparison fields: 5 of 71
  • Ecological Modeling 90
  • Plant Science 732
  • Biochemistry 68
  • Genetics 264
  • Biochemistry 67
Replace Nathalie Chantret with:
Nathalie Chantret France
J. Richard Abbott United States
Don Stewart Canada
Jer‐Ming Hu Taiwan
Nicky Wybouw Belgium
Jiří Král Czechia
Mónica Saldarriaga‐Córdoba Chile
Yifeng Chen China
Etienne Bucher Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Daniel C. Ilut

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Ilut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013231
2 2008128
3 2005102
4 201795
5 201489
6 201281
7 201065
8 202058
9 201450
10 201540
11 200839
12 200638
13 201735
14 200734
15 202033
16 202032
17 201623
18 200921
19 202017
20 201516

About Daniel C. Ilut

Daniel C. Ilut is a scholar working on Plant Science, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Inorganic Chemistry, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (5 papers), Plant Virus Research Studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genomics and Phylogenetic Studies (3 papers), Plant and animal studies (3 papers), Peanut Plant Research Studies (3 papers), Genetic diversity and population structure (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Ecological Modeling (90 citations), Plant Science (732 citations), Biochemistry (68 citations), Genetics (264 citations) and Biochemistry (67 citations). Daniel C. Ilut has collaborated with scholars based in United States, Mexico and Australia. Frequent co-authors include Jeff J. Doyle, Marie L. Nydam, Matthew P. Hare, Michael A. Gore, Gregory D. May, Andrew D Farmer, John M. Dyer, Matthew A. Jenks, Jason Stajich and Susan Rundell Singer. Their work appears in journals such as BMC Plant Biology, PLANT PHYSIOLOGY, Theoretical and Applied Genetics, The Plant Cell and Industrial Crops and Products.

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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