Paul R. Territo

3.8k citations
93 papers · 2.3k indexed · h-index 26

Paul R. Territo

90 papers receiving 2.3k citations

Peers

Paul R. Territo
Comparison fields: 5 of 129
  • Physiology 203
  • Biological Psychiatry 69
  • Neurology 196
  • Physiology 375
  • Cellular and Molecular Neuroscience 253
Replace Elke Decrock with:
Elke Decrock Belgium
Mario Passalacqua Italy
Xiaoping Qi United States
Reinhard Wetzker Germany
Isabella Panfoli Italy
Kiyofumi Asai Japan
Masato Kobayashi Japan
Maria A. Mariggiò Italy
Jens P. Bankstahl Germany
Kortaro Tanaka Japan
Paul R. Territo relative to Elke Decrock Belgium Elke Decrock's profile →
Citations per field
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Citations per year

Countries citing papers authored by Paul R. Territo

Since Specialization
Citations

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

Fields of papers citing papers by Paul R. Territo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20240
5 20231
6 202335
7 20234
8 20229
9 202032
10 202062
11
Purinergic Receptors of the Central Nervous System: Biology, PET Ligands, and Their Applications:
20201
12 201924
13 20198
14 201829
15
Characterization of 11C-GSK1482160 for Targeting the P2X7 Receptor as a Biomarker for Neuroinflammation
20177
16
Measurement of cardiovascular function using a novel view-sharing PET reconstruction method and tracer kinetic analysis
20161
17 20148
18
The HMGB1-RAGE axis mediates traumatic brain injury-induced pulmonary dysfunction in lung transplantation
20147
19
Human adipose derived stromal/stem cells (hASCs) protect against STZ-induced hyperglycemia; analysis of hASC-derived paracrine effectors
20141
20 199817

About Paul R. Territo

Paul R. Territo is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (10 papers), Alzheimer's disease research and treatments (9 papers), Advanced MRI Techniques and Applications (9 papers), MRI in cancer diagnosis (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Physiology (203 citations), Biological Psychiatry (69 citations) and Neurology (196 citations). Paul R. Territo has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert S. Balaban, Stephanie French, Vamsi K. Mootha, Hamideh Zarrinmayeh, Brian P. McCarthy, Gary D. Hutchins, F.J. Evans, Warren W. Burggren, Amanda A. Riley and Scott A. Persohn. Their work appears in journals such as Alzheimer s & Dementia, Abdominal Radiology, Bioorganic & Medicinal Chemistry Letters, Alzheimer s & Dementia Translational Research & Clinical Interventions and JCI Insight.

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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