Grace Brown

26 papers receiving 776 citations

Peers

Grace Brown
Comparison fields: 5 of 116
  • Clinical Biochemistry 192
  • Nuclear Energy and Engineering 3
  • Molecular Biology 409
  • Endocrinology, Diabetes and Metabolism 86
  • Public Administration 19
Replace Saikat Santra with:
Saikat Santra United Kingdom
Munekage Yamaguchi Japan
Daniel Winnica United States
Theresa A. Davies United States
P. Morrison United States
Bohan Chen China
T. Christensen Denmark
O Bellini Italy
Richard T. W. Scott United States
Akiko Murata Japan
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Citations per field
00.5×1.6×
Saikat Santra · 1×
Citations per year

Countries citing papers authored by Grace Brown

Since Specialization
Citations

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

Fields of papers citing papers by Grace Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000175
2 2000148
3 1994147
4 199465
5 200361
6 201153
7 199149
8 198927
9 202216
10 199716
11 200112
12 200912
13
Mitochondrial cytopathies, phenotypic heterogeneity and a high incidence.
20069
14 20058
15 20138
16 19958
17 19997
18 19794
19
Inspiring rural practice: Australian and International Perspectives
20094
20 20133

About Grace Brown

Grace Brown is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Public Administration and Materials Chemistry, having authored 27 papers that have together received 841 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Metabolism and Genetic Disorders (5 papers), ATP Synthase and ATPases Research (4 papers), Social Work Education and Practice (3 papers), Carbon Nanotubes in Composites (3 papers), Diet and metabolism studies (2 papers), Rural development and sustainability (2 papers) and Graphene research and applications (2 papers). The work is most often cited by research in Clinical Biochemistry (192 citations), Nuclear Energy and Engineering (3 citations), Molecular Biology (409 citations), Endocrinology, Diabetes and Metabolism (86 citations) and Public Administration (19 citations). Grace Brown has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Joanna Poulton, Caroline A. Sewry, Karl Morten, M.L.H. Green, J. L. Hutchison, Sam R. Bailey, Emmanuel Flahaut, Jeremy Sloan, Karl S. Coleman and C. W. Potter. Their work appears in journals such as Journal of Inherited Metabolic Disease, Australian Social Work, Human Molecular Genetics, Open Heart and American Journal of Physiology-Endocrinology and Metabolism.

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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