Thomas Pöschinger

762 citations
20 papers · 528 · h-index 10

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

Thomas Pöschinger

20 papers receiving 521 citations

Peers

Thomas Pöschinger
Comparison fields: 5 of 73
  • Biophysics 72
  • Immunology 136
  • Hepatology 30
  • Oncology 97
  • Molecular Biology 241
Replace Jakob Kaeppler with:
Jakob Kaeppler United Kingdom
Patrick Leyshock United States
Julie Ducreux Belgium
Alexander Filatenkov United States
Shigeaki Umeda Japan
Ramya Sivakumar United States
Steven Eck United States
Myrto K. Moutafi United States
Candace C. Liu United States
Diane Michelle Horowitz United States
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Citations per field
00.5×2×3.3×
Jakob Kaeppler · 1×
Citations per year

Countries citing papers authored by Thomas Pöschinger

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Pöschinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2019176
2 2020172
3 202226
4 201125
5 202420
6 201919
7 201418
8 201314
9 201713
10 201413
11 20228
12 20177
13 20235
14 20103
15 20083
16 20222
17 20101
18 20091
19 20241
20 20101

About Thomas Pöschinger

Thomas Pöschinger is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Biomedical Engineering, Biophysics and Oncology, having authored 20 papers that have together received 528 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Medical Imaging Techniques and Applications (3 papers), CAR-T cell therapy research (2 papers), Immune cells in cancer (2 papers), Single-cell and spatial transcriptomics (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Biophysics (72 citations), Immunology (136 citations), Hepatology (30 citations), Oncology (97 citations) and Molecular Biology (241 citations). Thomas Pöschinger has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Fabian M. Kiessling, Carina Hage, Sabine Hoves, Carola Hermine Ries, Stefan Bissinger, Alexander D. Klose, Yajun Wu, Courtney Ray Plumlee, Brandy E. Olin and Mario Perro. Their work appears in journals such as Zeitschrift für Medizinische Physik, Neoplasia, Cancer Research, Frontiers in Medicine and Cell Reports.

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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