Daniel Cook

3.9k citations
185 papers · 2.9k · h-index 31

Impact in

Papers in

Daniel Cook

178 papers receiving 2.8k citations

Peers

Daniel Cook
Comparison fields: 5 of 107
  • Ecology, Evolution, Behavior and Systematics 1.4k
  • Pharmacology 512
  • Cell Biology 619
  • Pharmacology 582
  • Plant Science 954
Replace G. Ravikanth with:
G. Ravikanth India
Bryan L. Stegelmeier United States
Sylvie Rapior France
Shun‐Xing Guo China
Giuseppe Venturella Italy
Marcos Sobral Brazil
Ahmed Al‐Rawahi Oman
Silvio Uhlig Norway
Christian Paetz Germany
Lowell P. Bush United States
Daniel Cook relative to G. Ravikanth India G. Ravikanth's profile →
Citations per field
00.5×
G. Ravikanth · 1×
Citations per year

Countries citing papers authored by Daniel Cook

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013136
2 201495
3 200780
4 200980
5 201474
6 200972
7 201070
8 201765
9 201364
10 201262
11 201361
12 200955
13 201353
14 201147
15 201345
16 201040
17 201039
18 201036
19 201435
20 201234

About Daniel Cook

Daniel Cook is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Pharmacology, Plant Science and Pharmacology, having authored 185 papers that have together received 2.9k indexed citations. Recurring topics across this work include Plant and fungal interactions (71 papers), Plant-based Medicinal Research (47 papers), Plant Pathogens and Fungal Diseases (42 papers), Plant Toxicity and Pharmacological Properties (42 papers), Botanical Research and Chemistry (40 papers), Berberine and alkaloids research (21 papers), Microbial Natural Products and Biosynthesis (15 papers) and Alkaloids: synthesis and pharmacology (15 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.4k citations), Pharmacology (512 citations), Cell Biology (619 citations), Pharmacology (582 citations) and Plant Science (954 citations). Daniel Cook has collaborated with scholars based in United States, Brazil and Uruguay. Frequent co-authors include Dale R. Gardner, James A. Pfister, Kevin D. Welch, Stephen T. Lee, Benedict T. Green, Michael H. Ralphs, Kip E. Panter, Bryan L. Stegelmeier, Wesley T. Beaulieu and Franklin Riet-Corrêa. Their work appears in journals such as Toxicon, Journal of Agricultural and Food Chemistry, Journal of Animal Science, Rangelands and Journal of Chemical Ecology.

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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