Daniel C. Ilut

1.6k citations
23 papers · 827 indexed · h-index 15

Impact in

Papers in

Daniel C. Ilut

22 papers receiving 813 citations

Peers

Daniel C. Ilut
Comparison fields: 5 of 70
  • Ecological Modeling 82
  • Plant Science 408
  • Biochemistry 61
  • Global and Planetary Change 176
  • Biochemistry 48
Replace Mónica Saldarriaga‐Córdoba with:
Mónica Saldarriaga‐Córdoba Chile
Don Stewart Canada
Martha C. Domínguez Argentina
Jer‐Ming Hu Taiwan
Nicky Wybouw Belgium
Yifeng Chen China
Joel W. Ochieng Kenya
Patrick Léger France
Federica Cattonaro Italy
Daniel C. Ilut relative to Mónica Saldarriaga‐Córdoba Chile Mónica Saldarriaga‐Córdoba's profile →
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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013210
2 201488
3 201783
4 201273
5 201052
6 201445
7 200637
8 201535
9 200732
10 201730
11 202029
12 201620
13 200918
14 202015
15 201514
16 201910
17 20219
18 20127
19 20197
20 20057

About Daniel C. Ilut

Daniel C. Ilut is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Ecological Modeling, Biochemistry and Molecular Biology, having authored 23 papers that have together received 827 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (5 papers), Genomics and Phylogenetic Studies (4 papers), Plant Virus Research Studies (4 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Plant Gene Expression Analysis (3 papers), Genetic diversity and population structure (3 papers), Plant and animal studies (3 papers) and Soybean genetics and cultivation (2 papers). The work is most often cited by research in Ecological Modeling (82 citations), Plant Science (408 citations), Biochemistry (61 citations), Global and Planetary Change (176 citations) and Biochemistry (48 citations). Daniel C. Ilut has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Marie L. Nydam, Matthew P. Hare, Jeff J. Doyle, Michael A. Gore, Andrew Farmer, Gregory D. May, John M. Dyer, Matthew A. Jenks, Timothy Y. James and Sandra V. Flechas. Their work appears in journals such as Theoretical and Applied Genetics, Industrial Crops and Products, BMC Plant Biology, Scientific Reports and PLANT PHYSIOLOGY.

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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