Gerhard Niederfellner
- Oncology top 5%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Immunology top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- A. UllrichChristian KleinW. J. IssingChristian WallaschBahija JallalIra PastanKarl‐Peter HopfnerBirgit Bossenmaier
- Topics
- Monoclonal and Polyclonal Antibodies Research (14 papers)Toxin Mechanisms and Immunotoxins (11 papers)Glycosylation and Glycoproteins Research (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe EMBO Journal
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Gerhard Niederfellner
35 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 93
- Oncology 847
- Molecular Biology 769
- Radiology, Nuclear Medicine and Imaging 710
- Immunology 519
- Pathology and Forensic Medicine 302
Countries citing papers authored by Gerhard Niederfellner
This map shows the geographic impact of Gerhard Niederfellner'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 Gerhard Niederfellner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Niederfellner more than expected).
Fields of papers citing papers by Gerhard Niederfellner
This network shows the impact of papers produced by Gerhard Niederfellner. 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 Gerhard Niederfellner. The network helps show where Gerhard Niederfellner may publish in the future.
Co-authorship network of co-authors of Gerhard Niederfellner
This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Niederfellner. A scholar is included among the top collaborators of Gerhard Niederfellner 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 Gerhard Niederfellner. Gerhard Niederfellner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 10 | |
| 3 | 48 | |
| 4 | 19 | |
| 5 | 23 | |
| 6 | 48 | |
| 7 | 1 | |
| 8 | 93 | |
| 9 | 71 | |
| 10 | 31 | |
| 11 | 85 | |
| 12 | 26 | |
| 13 | 273 | |
| 14 | 11 | |
| 15 | 37 | |
| 16 | 173 | |
| 17 | 21 | |
| 18 | 26 | |
| 19 | Activation of phosphatidylinositol 3-kinase is necessary for differentiation of FDC-P1 cells following stimulation of type III receptor tyrosine kinases. | 25 |
| 20 | 327 |
About Gerhard Niederfellner
Gerhard Niederfellner is a scholar working on Immunology, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 1.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Toxin Mechanisms and Immunotoxins (11 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Oncology (847 citations), Radiology, Nuclear Medicine and Imaging (710 citations) and Immunology (519 citations). Gerhard Niederfellner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include A. Ullrich, Christian Klein, W. J. Issing, Christian Wallasch, Bahija Jallal, Ira Pastan, Karl‐Peter Hopfner, Birgit Bossenmaier, Guy Georges and Manfred Schwaiger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.