Mona Purcell

904 citations
10 papers · 100 · h-index 6

Impact in

    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis
    • Radiopharmaceutical Chemistry and Applications
    • Medical Imaging Techniques and Applications
    • Monoclonal and Polyclonal Antibodies Research

Papers in

Mona Purcell

10 papers receiving 98 citations

Peers

Mona Purcell
Comparison fields: 5 of 49
  • Oncology 42
  • Radiology, Nuclear Medicine and Imaging 35
  • Immunology 24
  • Toxicology 3
  • Pharmacology 11
Replace Xi-ying Yao with:
Xi-ying Yao China
Qingyang Xiao Sweden
Samuel M. Rubinstein United States
Bingpeng Yao China
Heike Kunze‐Schumacher Germany
Gregor Dombrowsky Germany
Agnès Représa France
Daniel Byun United States
Marine Richard Switzerland
Radha Ramakrishnan United States
Mona Purcell relative to Xi-ying Yao China Xi-ying Yao's profile →
Citations per field
00.5×5.7×
Xi-ying Yao · 1×
Citations per year

Countries citing papers authored by Mona Purcell

Since Specialization
Citations

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

Fields of papers citing papers by Mona Purcell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202027
2 202019
3 201817
4 201512
5
Translational studies with [11C]MK-3168, a PET tracer for fatty acid amide hydrolase (FAAH)
20129
6 20235
7 20214
8
Discovery and Preclinical Evaluation of an mGluR2-NAM PET Radioligand.
20164
9 20112
10 20201

About Mona Purcell

Mona Purcell is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 100 indexed citations. Recurring topics across this work include Bone health and treatments (2 papers), Medical Imaging Techniques and Applications (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Bone health and osteoporosis research (1 paper), Pharmacological Effects and Toxicity Studies (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Oncology (42 citations), Radiology, Nuclear Medicine and Imaging (35 citations), Immunology (24 citations), Toxicology (3 citations) and Pharmacology (11 citations). Mona Purcell has collaborated with scholars based in United States, Netherlands and Sweden. Frequent co-authors include Marie A. Holahan, Liza Gantert, Eric D. Hostetler, Hyking Haley, Daniel Rubins, Jeffrey L. Evelhoch, Paul McQuade, Xiangjun Meng, Wenping Li and Shu-An Lin. Their work appears in journals such as Molecular Imaging and Biology, Bone, Vaccine, Bioorganic & Medicinal Chemistry Letters and Journal of Labelled Compounds and Radiopharmaceuticals.

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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