Per Suppa

470 total citations
17 papers, 319 citations indexed

About

Per Suppa is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Per Suppa has authored 17 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Psychiatry and Mental health, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Physiology. Recurrent topics in Per Suppa's work include Dementia and Cognitive Impairment Research (10 papers), Alzheimer's disease research and treatments (6 papers) and Neurological Disease Mechanisms and Treatments (5 papers). Per Suppa is often cited by papers focused on Dementia and Cognitive Impairment Research (10 papers), Alzheimer's disease research and treatments (6 papers) and Neurological Disease Mechanisms and Treatments (5 papers). Per Suppa collaborates with scholars based in Germany, France and Switzerland. Per Suppa's co-authors include Lothar Spies, Ralph Buchert, Roland Opfer, Catharina Lange, Sven Schippling, Hans‐Jürgen Huppertz, Ann‐Christin Ostwaldt, Praveena Manogaran, Harald Hampel and Lars Frings and has published in prestigious journals such as Neurobiology of Aging, Physics in Medicine and Biology and Journal of Alzheimer s Disease.

In The Last Decade

Per Suppa

17 papers receiving 315 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Per Suppa Germany 11 132 100 96 82 61 17 319
Viktor Wottschel United Kingdom 10 105 0.8× 150 1.5× 70 0.7× 98 1.2× 59 1.0× 17 419
Julien Lamy France 10 84 0.6× 97 1.0× 49 0.5× 75 0.9× 81 1.3× 35 351
Guendalina Bonifacio Italy 6 100 0.8× 135 1.4× 48 0.5× 85 1.0× 56 0.9× 7 361
Ameet C. Patel United States 7 88 0.7× 64 0.6× 71 0.7× 61 0.7× 49 0.8× 16 349
Carlos A. Sánchez-Catasús Netherlands 12 83 0.6× 122 1.2× 52 0.5× 109 1.3× 121 2.0× 32 391
Istvan Csapo United States 8 94 0.7× 105 1.1× 64 0.7× 28 0.3× 91 1.5× 8 348
YongSoo Shim South Korea 12 107 0.8× 92 0.9× 55 0.6× 68 0.8× 138 2.3× 40 443
Catherine Randall United States 8 106 0.8× 64 0.6× 124 1.3× 39 0.5× 56 0.9× 9 323
Roberto De Blasi Italy 14 128 1.0× 82 0.8× 74 0.8× 66 0.8× 184 3.0× 55 493
Katsuyuki Obara Japan 10 112 0.8× 85 0.8× 57 0.6× 71 0.9× 143 2.3× 28 399

Countries citing papers authored by Per Suppa

Since Specialization
Citations

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

Fields of papers citing papers by Per Suppa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Suppa

This figure shows the co-authorship network connecting the top 25 collaborators of Per Suppa. A scholar is included among the top collaborators of Per Suppa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Per Suppa. Per Suppa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Wang, Su, Jan M. Friedman, Per Suppa, Ralph Buchert, & Victor‐Felix Mautner. (2022). White matter is increased in the brains of adults with neurofibromatosis 1. Orphanet Journal of Rare Diseases. 17(1). 115–115. 6 indexed citations
2.
Wang, Su, Victor‐Felix Mautner, Ralph Buchert, et al.. (2021). Alterations in brain morphology by MRI in adults with neurofibromatosis 1. Orphanet Journal of Rare Diseases. 16(1). 462–462. 6 indexed citations
3.
Hedderich, Dennis M., Michael Dieckmeyer, Marion Ortner, et al.. (2020). Normative brain volume reports may improve differential diagnosis of dementing neurodegenerative diseases in clinical practice. European Radiology. 30(5). 2821–2829. 24 indexed citations
4.
Apostolova, Ivayla, Catharina Lange, Per Suppa, et al.. (2018). Impact of plasma glucose level on the pattern of brain FDG uptake and the predictive power of FDG PET in mild cognitive impairment. European Journal of Nuclear Medicine and Molecular Imaging. 45(8). 1417–1422. 21 indexed citations
5.
Ostwaldt, Ann‐Christin, et al.. (2018). MRI-Based Brain Volumetry at a Single Time Point Complements Clinical Evaluation of Patients With Multiple Sclerosis in an Outpatient Setting. Frontiers in Neurology. 9. 545–545. 13 indexed citations
6.
Apostolova, Ivayla, Catharina Lange, Per Suppa, et al.. (2018). Hypermetabolism in the hippocampal formation of cognitively impaired patients indicates detrimental maladaptation. Neurobiology of Aging. 65. 41–50. 23 indexed citations
7.
Schippling, Sven, Ann‐Christin Ostwaldt, Per Suppa, et al.. (2017). Global and regional annual brain volume loss rates in physiological aging. Journal of Neurology. 264(3). 520–528. 64 indexed citations
8.
9.
10.
Lange, Catharina, Per Suppa, Kerstin Ritter, et al.. (2016). Mental speed is associated with the shape irregularity of white matter MRI hyperintensity load. Brain Imaging and Behavior. 11(6). 1720–1730. 9 indexed citations
11.
Suppa, Per, Harald Hampel, Catharina Lange, et al.. (2016). Performance of Hippocampus Volumetry with FSL-FIRST for Prediction of Alzheimer’s Disease Dementia in at Risk Subjects with Amnestic Mild Cognitive Impairment. Journal of Alzheimer s Disease. 51(3). 867–873. 11 indexed citations
12.
13.
Suppa, Per, Simone Lista, Catharina Lange, et al.. (2015). P3‐159: Impact of the MRI acquisition protocol on the hippocampus volume obtained by two methodologically distinct methods for fully automated volumetry: Spm12 and fsl‐first. Alzheimer s & Dementia. 11(7S_Part_15). 1 indexed citations
14.
Lange, Catharina, Per Suppa, Lars Frings, et al.. (2015). Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer’s Disease Conversion. Journal of Alzheimer s Disease. 49(4). 945–959. 46 indexed citations
15.
Suppa, Per, et al.. (2015). Fully Automated Atlas-Based Hippocampal Volumetry for Detection of Alzheimer's Disease in a Memory Clinic Setting. Journal of Alzheimer s Disease. 44(1). 183–193. 21 indexed citations
16.
Suppa, Per, Harald Hampel, Lothar Spies, et al.. (2015). Fully Automated Atlas-Based Hippocampus Volumetry for Clinical Routine: Validation in Subjects with Mild Cognitive Impairment from the ADNI Cohort. Journal of Alzheimer s Disease. 46(1). 199–209. 20 indexed citations
17.
Spies, Lothar, et al.. (2013). Fully automatic detection of deep white matter T1 hypointense lesions in multiple sclerosis. Physics in Medicine and Biology. 58(23). 8323–8337. 9 indexed citations

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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