Anna Prinster

3.1k citations
65 papers · 2.5k · h-index 27

Impact in

Papers in

Anna Prinster

64 papers receiving 2.5k citations

Peers

Anna Prinster
Comparison fields: 5 of 125
  • Pathology and Forensic Medicine 561
  • Cognitive Neuroscience 567
  • Radiology, Nuclear Medicine and Imaging 479
  • Psychiatry and Mental health 257
  • Endocrinology, Diabetes and Metabolism 278
Replace Natalie May Zahr with:
Natalie May Zahr United States
Mario Quarantelli Italy
Sadahiko Nishizawa Japan
Tsutomu Nakada Japan
Song Lai United States
Donna J. Cross United States
Claudia Costa Leite Brazil
Matthias Reimold Germany
Peter Bartenstein Germany
Hikaru Seto Japan
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Citations per field
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Citations per year

Countries citing papers authored by Anna Prinster

Since Specialization
Citations

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

Fields of papers citing papers by Anna Prinster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012201
2
Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction.
2004194
3 2015171
4 1997162
5 2005151
6 2005134
7 2015115
8 2007112
9 2017102
10 200990
11 201072
12 201557
13 201254
14 199653
15 201653
16 201750
17 200944
18 199740
19 201738
20 201737

About Anna Prinster

Anna Prinster is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cognitive Neuroscience, Sensory Systems and Nutrition and Dietetics, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (13 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (9 papers), Functional Brain Connectivity Studies (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Medical Imaging Techniques and Applications (6 papers) and Eating Disorders and Behaviors (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (561 citations), Cognitive Neuroscience (567 citations), Radiology, Nuclear Medicine and Imaging (479 citations), Psychiatry and Mental health (257 citations) and Endocrinology, Diabetes and Metabolism (278 citations). Anna Prinster has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Mario Quarantelli, Marco Salvatore, Arturo Brunetti, Bruno Alfano, Jean‐Claude Baron, Angela Albarosa Rivellese, Roberta Lanzillo, Giovanni Annuzzi, Marcello Mancini and Vincenzo Brescia Morra. Their work appears in journals such as NeuroImage, Investigative Ophthalmology & Visual Science, Multiple Sclerosis Journal, European Journal of Clinical Investigation and PLoS ONE.

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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