Grace Salsbury

18 total papers · 753 total citations
4 papers, 83 citations indexed

About

Grace Salsbury is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Grace Salsbury has authored 4 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Grace Salsbury's work include Mitochondrial Function and Pathology (3 papers), Genetic Neurodegenerative Diseases (2 papers) and ATP Synthase and ATPases Research (2 papers). Grace Salsbury is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Genetic Neurodegenerative Diseases (2 papers) and ATP Synthase and ATPases Research (2 papers). Grace Salsbury collaborates with scholars based in United Kingdom, Italy and Germany. Grace Salsbury's co-authors include Patrick Yu‐Wai‐Man, J. Paul Chapple, Michael E. Cheetham, Jacqueline van der Spuy, Sarah J. Tabrizi, Rachel Flomen, Caroline Benn, Michael Flower, Kirupa Sathasivam and Daniel Goodwin and has published in prestigious journals such as Human Molecular Genetics, Experimental Hematology and Molecular Therapy — Nucleic Acids.

In The Last Decade

Grace Salsbury

4 papers receiving 83 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Grace Salsbury 71 38 15 10 5 4 83
Inès Mademan 67 0.9× 48 1.3× 11 0.7× 19 1.9× 4 0.8× 4 107
Olena Kucheruk 77 1.1× 63 1.7× 28 1.9× 19 1.9× 2 0.4× 3 103
Adolfo López de Munaín Arregui 42 0.6× 16 0.4× 10 0.7× 7 0.7× 8 1.6× 5 60
Mike Badminton 202 2.8× 38 1.0× 8 0.5× 16 1.6× 2 0.4× 6 240
Lisa Abreu 49 0.7× 34 0.9× 9 0.6× 18 1.8× 1 0.2× 4 78
Mirja Thomsen 30 0.4× 25 0.7× 20 1.3× 5 0.5× 2 0.4× 4 64
Asunción Martínez‐Descals 87 1.2× 35 0.9× 20 1.3× 3 0.3× 4 108
Jean‐Baptiste Noury 67 0.9× 22 0.6× 6 0.4× 9 0.9× 24 4.8× 6 98
María Hernández 69 1.0× 26 0.7× 12 0.8× 14 1.4× 1 0.2× 4 110
Elisabeth Ollagnon 42 0.6× 50 1.3× 24 1.6× 14 1.4× 2 0.4× 6 83

Countries citing papers authored by Grace Salsbury

Since Specialization
Citations

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

Fields of papers citing papers by Grace Salsbury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Salsbury

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

All Works

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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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