Phyllis Greenfield

502 citations
10 papers · 388 · h-index 8

Impact in

Papers in

Phyllis Greenfield

10 papers receiving 358 citations

Peers

Phyllis Greenfield
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 175
  • Pharmacology 71
  • Molecular Biology 210
  • Cell Biology 49
  • Aquatic Science 16
Replace E. J. Boell with:
E. J. Boell United States
N. Frontali Italy
Irvine R. Hagadorn United States
Paul B.J. Woodson United States
Eric Hanneman United States
D.R. Dickinson United States
C.D. Johnson United States
Jean‐Claude David France
J.J. Barlow United Kingdom
Il Jin Bak United States
Phyllis Greenfield relative to E. J. Boell United States E. J. Boell's profile →
Citations per field
00.5×1.5×
E. J. Boell · 1×
Citations per year

Countries citing papers authored by Phyllis Greenfield

Since Specialization
Citations

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

Fields of papers citing papers by Phyllis Greenfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Phyllis Greenfield, 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 Phyllis Greenfield Line = papers co-authored together Phyllis Greenfield links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 195697
2 195597
3
Biological Laboratory Data
195973
4 195542
5 197228
6 196820
7 196312
8 19708
9 19526
10 19715

About Phyllis Greenfield

Phyllis Greenfield is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Ecology and Computational Theory and Mathematics, having authored 10 papers that have together received 388 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (5 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Computational Drug Discovery Methods (3 papers), Physiological and biochemical adaptations (3 papers), Mitochondrial Function and Pathology (2 papers), Ion Transport and Channel Regulation (1 paper), Metabolism and Genetic Disorders (1 paper) and Reproductive biology and impacts on aquatic species (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (175 citations), Pharmacology (71 citations), Molecular Biology (210 citations), Cell Biology (49 citations) and Aquatic Science (16 citations). Phyllis Greenfield has collaborated with scholars based in United States, Panama and Italy. Frequent co-authors include E. J. Boell, S. C. Shen, Shyh‐Chiang Shen, Albert Derby and Bertil Hille. Their work appears in journals such as Journal of Experimental Zoology, The Journal of Comparative Neurology, Experimental Biology and Medicine, The Yale Journal of Biology and Medicine and Developmental Biology.

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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