Fiona E. Holmes

2.2k citations
37 papers · 1.8k indexed · h-index 20

Impact in

Papers in

Fiona E. Holmes

36 papers receiving 1.8k citations

Peers

Fiona E. Holmes
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 1.3k
  • Endocrine and Autonomic Systems 223
  • Developmental Neuroscience 130
  • Physiology 383
  • Molecular Biology 941
Replace Å. Dagerlind with:
Å. Dagerlind Sweden
Tiina P. Iismaa Australia
M. Del Fiacco Italy
Hans Ericson Sweden
Meena Jhanwar‐Uniyal United States
Norbert Chauvet France
Dominique Nouel Canada
Istvàn Lengvári Hungary
Barry D. Sawyer United States
Jari Rossi Finland
Fiona E. Holmes relative to Å. Dagerlind Sweden Å. Dagerlind's profile →
Citations per field
00.5×7.9×
Å. Dagerlind · 1×
Citations per year

Countries citing papers authored by Fiona E. Holmes

Since Specialization
Citations

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

Fields of papers citing papers by Fiona E. Holmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201951
2 201617
3 201512
4 2014254
5 201131
6 2011148
7 201018
8 201011
9 200810
10 200831
11 200853
12 200724
13 200680
14 200548
15 200441
16 200224
17 200116
18 200060
19
Trophic control of survival and proliferation in cultured rat embryo forebrain germinal cells by α-adrenoreceptors
19952
20 19951

About Fiona E. Holmes

Fiona E. Holmes is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Physiology and Endocrine and Autonomic Systems, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (23 papers), Signaling Pathways in Disease (11 papers), Receptor Mechanisms and Signaling (9 papers), Nerve injury and regeneration (7 papers), Pain Mechanisms and Treatments (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Neuroendocrine regulation and behavior (3 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Endocrine and Autonomic Systems (223 citations), Developmental Neuroscience (130 citations), Physiology (383 citations) and Molecular Biology (941 citations). Fiona E. Holmes has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include David Wynick, Niall C. H. Kerr, Andrea Bacon, Robert J. P. Pope, Vassilis Pachnis, Andrew L. Gundlach, Tomas Hökfelt, Roland Lang, Barbara Kofler and Penny Vanderplank. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Neuroscience, Journal of Neurochemistry, Molecular Pain and Journal of Neuroscience.

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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