Ryan Overland

12 papers receiving 823 citations

Peers

Ryan Overland
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 245
  • Developmental Neuroscience 41
  • Radiology, Nuclear Medicine and Imaging 211
  • Oncology 243
  • Molecular Biology 556
Replace Madeleine J. Oudin with:
Madeleine J. Oudin United States
Anna Arnal Estape United States
Matthias Osswald Germany
Ying-Jiun J. Chen United States
Joanne Wuu United States
Ana Rita Pombo Antunes Belgium
Suzanne Claxton United Kingdom
Isabel Arrillaga‐Romany United States
Marianne Labussière France
Kelli B. Pointer United States
Ryan Overland relative to Madeleine J. Oudin United States Madeleine J. Oudin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ryan Overland

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Overland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2012222
2 2007170
3 2003156
4 2010135
5 201385
6 200850
7 20139
8 20096
9 20104
10 20133
11 20111
12 20111

About Ryan Overland

Ryan Overland is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 842 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers), Lung Cancer Treatments and Mutations (2 papers), Genetic Neurodegenerative Diseases (2 papers), Ubiquitin and proteasome pathways (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (245 citations), Developmental Neuroscience (41 citations), Radiology, Nuclear Medicine and Imaging (211 citations), Oncology (243 citations) and Molecular Biology (556 citations). Ryan Overland has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Ghazaleh Sadri‐Vakili, Eva Xia, Violette Paragas, Ulrik B. Nielsen, Charlotte F. McDonagh, J. Jang‐Ho, Andrew D. Strand, Richard G. Ellenbogen, Roshantha A.S. Chandraratna and Joel I. Pritchard. Their work appears in journals such as Cancer Research, Journal of Neuroscience, Molecular Cancer Therapeutics, Nature Medicine and Journal of Clinical Oncology.

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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