Rachel S. Gormal

1.3k citations
30 papers · 555 indexed · h-index 14
Topics
Cellular transport and secretion (17 papers)Lipid Membrane Structure and Behavior (10 papers)Neuroscience and Neuropharmacology Research (5 papers)

In The Last Decade

Rachel S. Gormal

29 papers receiving 550 citations

Peers

Rachel S. Gormal
Comparison fields: 5 of 68
  • Molecular Biology 345
  • Cell Biology 295
  • Cellular and Molecular Neuroscience 173
  • Physiology 91
  • Biophysics 56
Replace Max Adrian with:
Max Adrian Netherlands
Marisa M. Brockmann Germany
Philip M. Borden United States
Andreas Papadopulos Australia
Joanna Lipka Netherlands
Frédéric Jaskolski France
Elena Tortosa Spain
Niclas Gimber Germany
Karen Perez de Arce United States
Adekunle T. Bademosi Australia
Rachel S. Gormal relative to Max Adrian Netherlands Max Adrian's profile →
Citations per field
00.5×1.5×
Max Adrian · 1×
Citations per year

Countries citing papers authored by Rachel S. Gormal

Since Specialization
Citations

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

Fields of papers citing papers by Rachel S. Gormal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel S. Gormal. 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 Rachel S. Gormal. The network helps show where Rachel S. Gormal may publish in the future.

Co-authorship network of co-authors of Rachel S. Gormal

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 1
4 7
5 15
6 12
7 10
8 18
9 8
10 6
11 5
12 13
13 45
14 7
15 4
16 56
17 50
18 30
19 47
20 19

About Rachel S. Gormal

Rachel S. Gormal is a scholar working on Cell Biology, Biophysics and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 555 indexed citations. Recurring topics across this work include Cellular transport and secretion (17 papers), Lipid Membrane Structure and Behavior (10 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cell Biology (295 citations), Biophysics (56 citations) and Cellular and Molecular Neuroscience (173 citations). Rachel S. Gormal has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Frédéric A. Meunier, Sally Martin, Andreas Papadopulos, Vanesa M. Tomatis, Ramón Martínez‐Mármol, Brett M. Collins, Tristan P. Wallis, Nancy T. Malintan, Tam Nguyen and Elizabeth J. Coulson. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications 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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