Olivia Molinar‐Inglis

420 citations
18 papers · 295 · h-index 10

Impact in

Papers in

Olivia Molinar‐Inglis

18 papers receiving 292 citations

Peers

Olivia Molinar‐Inglis
Comparison fields: 5 of 75
  • Surfaces, Coatings and Films 19
  • Biophysics 15
  • Molecular Biology 163
  • Hematology 26
  • Cell Biology 36
Replace Eiko Hayashi with:
Eiko Hayashi Japan
William S. Craig
Lydia A. Perkins United States
James N. Psathas United States
Shubhangi Agarwal United States
Tongyao Yu China
Juliane Eggermann Germany
Debopriya Das United States
Daniel J. Canaday United States
Jason H. Williams United States
Olivia Molinar‐Inglis relative to Eiko Hayashi Japan Eiko Hayashi's profile →
Citations per field
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Eiko Hayashi · 1×
Citations per year

Countries citing papers authored by Olivia Molinar‐Inglis

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Molinar‐Inglis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivia Molinar‐Inglis. 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 Olivia Molinar‐Inglis. The network helps show where Olivia Molinar‐Inglis may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201559
2 202038
3 202036
4 202027
5 202025
6 202118
7 201315
8 202214
9 201114
10 202410
11 20249
12 20207
13 20237
14 20237
15 20184
16 20242
17 20242
18 20201

About Olivia Molinar‐Inglis

Olivia Molinar‐Inglis is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Public Health, Environmental and Occupational Health and Cancer Research, having authored 18 papers that have together received 295 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (4 papers), Radiation Dose and Imaging (4 papers), Receptor Mechanisms and Signaling (3 papers), Cellular Mechanics and Interactions (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Protease and Inhibitor Mechanisms (3 papers), S100 Proteins and Annexins (2 papers) and Radiation Therapy and Dosimetry (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (19 citations), Biophysics (15 citations), Molecular Biology (163 citations), Hematology (26 citations) and Cell Biology (36 citations). Olivia Molinar‐Inglis has collaborated with scholars based in United States. Frequent co-authors include JoAnn Trejo, Brooke M. McCartney, Saadyah Averick, Jin Zhang, Subha R. Das, Krzysztof Matyjaszewski, Bruce A. Armitage, Andrea L. DiCarlo, Neil Grimsey and Ying Lin. Their work appears in journals such as Radiation Research, Journal of Biological Chemistry, International Journal of Radiation Biology, Proceedings of the National Academy of Sciences and Scientific Reports.

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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