Fiona Freeman

468 citations
14 papers · 370 · h-index 10

Impact in

Papers in

Fiona Freeman

13 papers receiving 357 citations

Peers

Fiona Freeman
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 237
  • Developmental Biology 14
  • Cognitive Neuroscience 117
  • Neurology 43
  • Behavioral Neuroscience 16
Replace К. В. Анохин with:
К. В. Анохин Russia
Donald B. Newman United States
M. Cu�nod Switzerland
Arjen J. Boender Netherlands
Diane W. Lee United States
Tara Deemyad Iran
Claire E. Geddes United States
Marcia G. Welsh United States
Sandrine Schuhler United Kingdom
Hyopil Kim South Korea
Fiona Freeman relative to К. В. Анохин Russia К. В. Анохин's profile →
Citations per field
00.5×1.5×2.2×
К. В. Анохин · 1×
Citations per year

Countries citing papers authored by Fiona Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Fiona Freeman, 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 Fiona Freeman Line = papers co-authored together Fiona Freeman links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1995137
2 200457
3 201232
4 199528
5 199927
6 200220
7 200019
8 200011
9 199910
10 20179
11 20009
12
A modified staining technique for Trichomonas vaginalis.
19586
13 20013
14
The role of the bone marrow in antibody production in amoebiasis.
19582

About Fiona Freeman

Fiona Freeman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology, Cognitive Neuroscience and Animal Science and Zoology, having authored 14 papers that have together received 370 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuroendocrine regulation and behavior (3 papers), Memory and Neural Mechanisms (3 papers), Neuropeptides and Animal Physiology (3 papers), Ion channel regulation and function (2 papers), Animal Nutrition and Physiology (2 papers) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (237 citations), Developmental Biology (14 citations), Cognitive Neuroscience (117 citations), Neurology (43 citations) and Behavioral Neuroscience (16 citations). Fiona Freeman has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Andrew Scholey, S. P. R. Rose, Steven P. R. Rose, Ian G. Young, Jane A. Davies, Jonathan P. Bacon, Iain M. Dykes, John M. Dickenson, F. Anne Stephenson and A. Richard Rutter. Their work appears in journals such as Neurobiology of Learning and Memory, Learning & Memory, European Journal of Neuroscience, Brain Research and Journal of Neurochemistry.

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.

Explore authors with similar magnitude of impact