Ralf Palmisano
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Single-cell and spatial transcriptomics 3
- Biophysics 10
- Cell Image Analysis Techniques 9
- Advanced Fluorescence Microscopy Techniques 2
- Co-authors
- Thomas Wittenberg (10 shared papers)Christian Held (9 shared papers)Yoshifumi Itoh (3 shared papers)Veit Wiesmann (5 shared papers)Benjamin Schmid (6 shared papers)Daniela Franz (2 shared papers)Jörg W. Bartsch (2 shared papers)Christian Münzenmayer (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Cytometry Part A (2 papers)Journal of Biological Chemistry (2 papers)The FASEB Journal (1 paper)Hypertension (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ralf Palmisano
31 papers receiving 1000 citations
Peers
Comparison fields: 5 of 103
- Biophysics 104
- Immunology and Allergy 98
- Immunology 197
- Cancer Research 110
- Oncology 197
Countries citing papers authored by Ralf Palmisano
This map shows the geographic impact of Ralf Palmisano'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 Ralf Palmisano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Palmisano more than expected).
Fields of papers citing papers by Ralf Palmisano
This network shows the impact of papers produced by Ralf Palmisano. 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 Ralf Palmisano. The network helps show where Ralf Palmisano may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf Palmisano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 128 | |
| 2 | 2007 | 119 | |
| 3 | 2018 | 102 | |
| 4 | 2018 | 92 | |
| 5 | 2014 | 83 | |
| 6 | 2013 | 53 | |
| 7 | 2010 | 46 | |
| 8 | 2011 | 39 | |
| 9 | 2011 | 34 | |
| 10 | 2012 | 34 | |
| 11 | 2018 | 33 | |
| 12 | 2011 | 30 | |
| 13 | 2016 | 30 | |
| 14 | 2011 | 20 | |
| 15 | 2018 | 20 | |
| 16 | 2016 | 20 | |
| 17 | 2010 | 18 | |
| 18 | 2011 | 17 | |
| 19 | 2007 | 17 | |
| 20 | 2017 | 14 |
About Ralf Palmisano
Ralf Palmisano is a scholar working on Molecular Biology, Biophysics, Oncology, Media Technology and Immunology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), Image Processing Techniques and Applications (5 papers), Peptidase Inhibition and Analysis (4 papers), Single-cell and spatial transcriptomics (3 papers), Protease and Inhibitor Mechanisms (3 papers), Digital Imaging for Blood Diseases (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Biophysics (104 citations), Immunology and Allergy (98 citations), Immunology (197 citations), Cancer Research (110 citations) and Oncology (197 citations). Ralf Palmisano has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Wittenberg, Christian Held, Yoshifumi Itoh, Veit Wiesmann, Benjamin Schmid, Daniela Franz, Jörg W. Bartsch, Christian Münzenmayer, Philipp Tripal and Harvey J. Sage. Their work appears in journals such as Journal of Medicinal Chemistry, Cytometry Part A, Journal of Biological Chemistry, The FASEB Journal and Hypertension.
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.