Mia R. Garrard

1.0k citations
3 papers · 355 indexed · h-index 3
Topics
Spectroscopy Techniques in Biomedical and Chemical Research (2 papers)Ion-surface interactions and analysis (1 paper)Gold and Silver Nanoparticles Synthesis and Applications (1 paper)
Journals
Cancer ResearchScience Translational MedicineProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Partner nations
United States

In The Last Decade

Mia R. Garrard

3 papers receiving 346 citations

Peers

Mia R. Garrard
Comparison fields: 5 of 55
  • Biophysics 256
  • Biomedical Engineering 132
  • Analytical Chemistry 103
  • Molecular Biology 89
  • Radiology, Nuclear Medicine and Imaging 61
Replace Spencer Lewis with:
Spencer Lewis United States
Mark G. Hegarty United Kingdom
Brandy Broadbent United States
Kirk Urmey Canada
Marco Andreana Austria
Binlin Wu United States
Zhijie Liu China
C. Ramírez United Kingdom
Antonia Lichtenegger Austria
Mia R. Garrard relative to Spencer Lewis United States Spencer Lewis's profile →
Citations per field
00.5×1.5×
Spencer Lewis · 1×
Citations per year

Countries citing papers authored by Mia R. Garrard

Since Specialization
Citations

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

Fields of papers citing papers by Mia R. Garrard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mia R. Garrard. 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 Mia R. Garrard. The network helps show where Mia R. Garrard may publish in the future.

Co-authorship network of co-authors of Mia R. Garrard

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

All Works

About Mia R. Garrard

Mia R. Garrard is a scholar working on Biophysics, Computer Science Applications and Artificial Intelligence, having authored 3 papers that have together received 355 indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Ion-surface interactions and analysis (1 paper) and Gold and Silver Nanoparticles Synthesis and Applications (1 paper). The work is most often cited by research in Biophysics (256 citations), Analytical Chemistry (103 citations) and Genetics (38 citations). Mia R. Garrard has collaborated with scholars based in United States. Frequent co-authors include Daniel A. Orringer, Cormac O. Maher, Sandra Camelo‐Piragua, Matija Snuderl, Spencer Lewis, Amanda Fisher‐Hubbard, Jason Heth, Nader Sanai, Oren Sagher and X. Sunney Xie. Their work appears in journals such as Cancer Research, Science Translational Medicine and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

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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