Caroline A. MACKINTOSH

582 citations
14 papers · 462 indexed · h-index 10
Topics
Polyamine Metabolism and Applications (10 papers)Cannabis and Cannabinoid Research (7 papers)Amino Acid Enzymes and Metabolism (6 papers)

In The Last Decade

Caroline A. MACKINTOSH

14 papers receiving 444 citations

Peers

Caroline A. MACKINTOSH
Comparison fields: 5 of 63
  • Molecular Biology 304
  • Plant Science 232
  • Biochemistry 81
  • Pharmacology 70
  • Cell Biology 70
Replace Shino Goto‐Yamada with:
Shino Goto‐Yamada Japan
Anke Mayer Germany
Jun Sheng China
Raquel Serrano Spain
Amparo Ruiz Spain
Kerstin Freidel Germany
Yanli Qi China
Anne‐Marie Schweingruber Switzerland
Harutake Yamazaki Japan
Stephanie L. Ricupero‐Hovasse United States
Caroline A. MACKINTOSH relative to Shino Goto‐Yamada Japan Shino Goto‐Yamada's profile →
Citations per field
00.5×8.8×
Shino Goto‐Yamada · 1×
Citations per year

Countries citing papers authored by Caroline A. MACKINTOSH

Since Specialization
Citations

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

Fields of papers citing papers by Caroline A. MACKINTOSH

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline A. MACKINTOSH. 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 Caroline A. MACKINTOSH. The network helps show where Caroline A. MACKINTOSH may publish in the future.

Co-authorship network of co-authors of Caroline A. MACKINTOSH

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline A. MACKINTOSH. A scholar is included among the top collaborators of Caroline A. MACKINTOSH 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 Caroline A. MACKINTOSH. Caroline A. MACKINTOSH is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 58
2 6
3 122
4 42
5 5
6 18
7 59
8 42
9 29
10 10
11 19
12 4
13 47
14 1

About Caroline A. MACKINTOSH

Caroline A. MACKINTOSH is a scholar working on Biochemistry, Pharmacology and Molecular Biology, having authored 14 papers that have together received 462 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (10 papers), Cannabis and Cannabinoid Research (7 papers) and Amino Acid Enzymes and Metabolism (6 papers). The work is most often cited by research in Biochemistry (81 citations), Plant Science (232 citations) and Molecular Biology (304 citations). Caroline A. MACKINTOSH has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Anthony E. Pegg, Gary J. Muehlbauer, Shane Heinen, Lorien Radmer, Janet M. Lewis, Gerald D. Baldridge, Sanghyun Shin, R.J. Zeyen, Carlo Guarnieri and Benedetta Tantini. Their work appears in journals such as Biochemical Journal, FEBS Letters and FEMS Microbiology Letters.

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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