Hans‐Georg Buchholz

1.0k total citations
15 papers, 807 citations indexed

About

Hans‐Georg Buchholz is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Hans‐Georg Buchholz has authored 15 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Psychiatry and Mental health and 5 papers in Neurology. Recurrent topics in Hans‐Georg Buchholz's work include Medical Imaging Techniques and Applications (5 papers), Schizophrenia research and treatment (4 papers) and Neurological disorders and treatments (3 papers). Hans‐Georg Buchholz is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Schizophrenia research and treatment (4 papers) and Neurological disorders and treatments (3 papers). Hans‐Georg Buchholz collaborates with scholars based in Germany, United States and Denmark. Hans‐Georg Buchholz's co-authors include Peter Bartenstein, Christian Landvogt, Gerhard Gründer, Mathias Schreckenberger, Ingo Vernaleken, Peter Bartenstein, Thomas Siessmeier, Helmut Reber, Dean F. Wong and Paul Cumming and has published in prestigious journals such as NeuroImage, Neuropsychopharmacology and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Hans‐Georg Buchholz

15 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans‐Georg Buchholz Germany 13 339 277 218 197 161 15 807
S. Watanuki Japan 22 420 1.2× 169 0.6× 124 0.6× 141 0.7× 128 0.8× 54 1.1k
Luis F. Gomez United States 10 214 0.6× 210 0.8× 128 0.6× 79 0.4× 153 1.0× 17 922
Jules Lavalaye Netherlands 18 225 0.7× 322 1.2× 418 1.9× 119 0.6× 223 1.4× 41 1.3k
Marie-Christine Petit-Taboué France 16 428 1.3× 157 0.6× 227 1.0× 353 1.8× 231 1.4× 19 1.2k
Esa Eronen Finland 10 297 0.9× 129 0.5× 158 0.7× 92 0.5× 108 0.7× 10 764
Tetsuro Tago Japan 15 247 0.7× 251 0.9× 180 0.8× 95 0.5× 180 1.1× 48 925
Marie-Claude Asselin United Kingdom 10 370 1.1× 393 1.4× 260 1.2× 297 1.5× 87 0.5× 14 995
Chunfang Xia United States 7 195 0.6× 294 1.1× 122 0.6× 126 0.6× 172 1.1× 10 874
G.P. Pelliccioli Italy 15 303 0.9× 114 0.4× 95 0.4× 122 0.6× 242 1.5× 33 892
Jerome A. G. Russell United States 12 404 1.2× 274 1.0× 222 1.0× 239 1.2× 183 1.1× 13 1.0k

Countries citing papers authored by Hans‐Georg Buchholz

Since Specialization
Citations

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

Fields of papers citing papers by Hans‐Georg Buchholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans‐Georg Buchholz. 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 Hans‐Georg Buchholz. The network helps show where Hans‐Georg Buchholz may publish in the future.

Co-authorship network of co-authors of Hans‐Georg Buchholz

This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Georg Buchholz. A scholar is included among the top collaborators of Hans‐Georg Buchholz 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 Hans‐Georg Buchholz. Hans‐Georg Buchholz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Cumming, Paul, Guoming Xiong, Christian la Fougère, et al.. (2012). Surrogate markers for cerebral blood flow correlate with [18F]‐fallypride binding potential at dopamine D2/3 receptors in human striatum. Synapse. 67(4). 199–203. 17 indexed citations
2.
Vernaleken, Ingo, Robert Lin, Hans‐Georg Buchholz, et al.. (2011). The applicability of SRTM in [18F]fallypride PET investigations: Impact of scan durations. Journal of Cerebral Blood Flow & Metabolism. 31(9). 1958–1966. 31 indexed citations
3.
Landvogt, Christian, et al.. (2010). Alteration of dopamine D2/D3 receptor binding in patients with juvenile myoclonic epilepsy. Epilepsia. 51(9). 1699–1706. 53 indexed citations
4.
Kumakura, Yoshitaka, Erik Hvid Danielsen, Albert Gjedde, et al.. (2009). Elevated [18F]FDOPA utilization in the periaqueductal gray and medial nucleus accumbens of patients with early Parkinson's disease. NeuroImage. 49(4). 2933–2939. 26 indexed citations
5.
Yakushev, Igor, Christian Landvogt, Hans‐Georg Buchholz, et al.. (2008). Choice of reference area in studies of Alzheimer's disease using positron emission tomography with fluorodeoxyglucose-F18. Psychiatry Research Neuroimaging. 164(2). 143–153. 96 indexed citations
6.
Vernaleken, Ingo, Hildegard Janouschek, Tanja Veselinović, et al.. (2008). Striatal and Extrastriatal D2/D3-Receptor-Binding Properties of Ziprasidone. Journal of Clinical Psychopharmacology. 28(6). 608–617. 31 indexed citations
7.
Buchmann, Inga, Uwe Haberkorn, Irene Schmidtmann, et al.. (2007). Influence of Cell Proportions and Proliferation Rates on FDG Uptake in Squamous-Cell Esophageal Carcinoma: A PET Study. Cancer Biotherapy and Radiopharmaceuticals. 23(2). 172–180. 9 indexed citations
8.
Werhahn, Konrad J., Christian Landvogt, Sven Klimpe, et al.. (2006). Decreased Dopamine D2/D3‐Receptor Binding in Temporal Lobe Epilepsy: An [18F]Fallypride PET Study. Epilepsia. 47(8). 1392–1396. 74 indexed citations
9.
Vernaleken, Ingo, Hans‐Georg Buchholz, Yoshitaka Kumakura, et al.. (2006). ‘Prefrontal’ cognitive performance of healthy subjects positively correlates with cerebral FDOPA influx: An exploratory [18F]‐fluoro‐L‐DOPA‐PET investigation. Human Brain Mapping. 28(10). 931–939. 56 indexed citations
10.
Gründer, Gerhard, Christian Landvogt, Ingo Vernaleken, et al.. (2005). The Striatal and Extrastriatal D2/D3 Receptor-Binding Profile of Clozapine in Patients with Schizophrenia. Neuropsychopharmacology. 31(5). 1027–1035. 67 indexed citations
11.
Helisch, Andreas, Helmut Reber, Hans‐Georg Buchholz, et al.. (2004). Pre-therapeutic dosimetry and biodistribution of 86Y-DOTA-Phe1-Tyr3-octreotide versus 111In-pentetreotide in patients with advanced neuroendocrine tumours. European Journal of Nuclear Medicine and Molecular Imaging. 31(10). 1386–92. 102 indexed citations
12.
13.
Gründer, Gerhard, Thomas Siessmeier, Markus Piel, et al.. (2003). Quantification of D2-like dopamine receptors in the human brain with 18F-desmethoxyfallypride.. PubMed. 44(1). 109–16. 47 indexed citations
14.
Gründer, Gerhard, Ingo Vernaleken, Matthias J. Müller, et al.. (2002). Subchronic Haloperidol Downregulates Dopamine Synthesis Capacity in the Brain of Schizophrenic Patients In Vivo. Neuropsychopharmacology. 28(4). 787–794. 77 indexed citations
15.
Förster, Gregor J., M. Engelbach, Jörg Brockmann, et al.. (2001). Preliminary data on biodistribution and dosimetry for therapy planning of somatostatin receptor positive tumours: comparison of 86Y-DOTATOC and 111In-DTPA-octreotide. European Journal of Nuclear Medicine and Molecular Imaging. 28(12). 1743–1750. 116 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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