Bernd J. Pichler

16.5k citations
281 papers · 11.2k indexed · 2 hit papers · h-index 54

Bernd J. Pichler

271 papers receiving 11.0k citations

Hit Papers

Advances in ...1342008202620142020200400600

Peers

Bernd J. Pichler
Comparison fields: 5 of 180
  • Radiology, Nuclear Medicine and Imaging 6.3k
  • Radiation 2.0k
  • Cancer Research 583
  • Oncology 1.1k
  • Biomedical Engineering 1.7k
Replace Alexander Gottschalk with:
Alexander Gottschalk United States
Jan Grimm United States
Terence Z. Wong United States
Marco Salvatore Italy
Masahiro Endo Japan
Tian Liu United States
Arend Heerschap Netherlands
Jacques Barbet France
Arion F. Chatziioannou United States
Martin G. Pomper United States
Bernd J. Pichler relative to Alexander Gottschalk United States Alexander Gottschalk's profile →
Citations per field
00.5×1.6×
Alexander Gottschalk · 1×
Citations per year

Countries citing papers authored by Bernd J. Pichler

Since Specialization
Citations

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

Fields of papers citing papers by Bernd J. Pichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernd J. Pichler. 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 Bernd J. Pichler. The network helps show where Bernd J. Pichler may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20241
3 202310
4 20234
5 20235
6 20233
7 20230
8 20229
9 20222
10 202123
11 202141
12 202112
13
[C-11]MODAG-001-towards a PET tracer targeting alpha-synuclein aggregates
20211
14 20206
15 20194
16 20186
17 201627
18 20161
19 201331
20 2013126

About Bernd J. Pichler

Bernd J. Pichler is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Cancer Research, having authored 281 papers that have together received 11.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (123 papers), Advanced MRI Techniques and Applications (53 papers), Radiation Detection and Scintillator Technologies (40 papers), Radiomics and Machine Learning in Medical Imaging (33 papers), Atomic and Subatomic Physics Research (27 papers), Cancer, Hypoxia, and Metabolism (19 papers), Radiopharmaceutical Chemistry and Applications (18 papers) and Advanced X-ray and CT Imaging (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (6.3k citations), Radiation (2.0k citations) and Cancer Research (583 citations). Bernd J. Pichler has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin S. Judenhofer, Hans F. Wehrl, Armin Kolb, Simon R. Cherry, Bernhard Schölkopf, Matthias Hofmann, Claus D. Claussen, Manfred Kneilling, Ciprian Catana and Heinz-Peter Schlemmer. Their work appears in journals such as Journal of Nuclear Medicine, Molecular Imaging and Biology, European Journal of Nuclear Medicine and Molecular Imaging, Physics in Medicine and Biology and Theranostics.

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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