Olivia Molinar‐Inglis

448 citations
18 papers · 312 · h-index 11

Impact in

Papers in

Olivia Molinar‐Inglis

18 papers receiving 311 citations

Peers

Olivia Molinar‐Inglis
Comparison fields: 5 of 75
  • Surfaces, Coatings and Films 18
  • Hematology 26
  • Biophysics 14
  • Molecular Biology 163
  • Cell Biology 36
Replace Eiko Hayashi with:
Eiko Hayashi Japan
Jason H. Williams United States
Debopriya Das United States
Tongyao Yu China
Tanmoy Saha United States
April Xu United States
Lucia Binó Czechia
Ashok Malavalli United States
A. Necco Italy
Secil Koseoglu United States
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Citations per field
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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 202040
3 202040
4 202027
5 202026
6 202121
7 201315
8 201114
9 202214
10 202412
11 202412
12 20239
13 20207
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 312 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (4 papers), Protease and Inhibitor Mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cellular Mechanics and Interactions (3 papers), Radiation Dose and Imaging (3 papers), S100 Proteins and Annexins (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (18 citations), Hematology (26 citations), Biophysics (14 citations), Molecular Biology (163 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, Jin Zhang, Bruce A. Armitage, Saadyah Averick, Subha R. Das, Krzysztof Matyjaszewski, Andrea L. DiCarlo, Neil Grimsey and Ming‐Yuan Chen. 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 Nature Communications.

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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