Janet Beckmann
Impact in
- Nephrology top 10%
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
Papers in
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- Receptor Mechanisms and Signaling 3
- Nicotinic Acetylcholine Receptors Study 2
-
- Immune cells in cancer 2
- interferon and immune responses 1
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- Co-authors
- Liliana Schaefer (6 shared papers)Katrin Susanne Lips (4 shared papers)Jinyang Zeng-Brouwers (4 shared papers)Renato V. Iozzo (3 shared papers)Josef Pfeilschifter (3 shared papers)Madalina V. Nastase (2 shared papers)José Guilherme Tralhão (1 shared paper)Rosetta Merline (1 shared paper)
- Journals
- Matrix Biology (2 papers)Pharmacology (1 paper)Life Sciences (1 paper)Cell and Tissue Research (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- GermanyUnited StatesRomania
In The Last Decade
Janet Beckmann
10 papers receiving 759 citations
Peers
Comparison fields: 5 of 90
- Nephrology 75
- Cell Biology 170
- Immunology 211
- Immunology and Allergy 56
- Clinical Biochemistry 51
Countries citing papers authored by Janet Beckmann
This map shows the geographic impact of Janet Beckmann'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 Janet Beckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Beckmann more than expected).
Fields of papers citing papers by Janet Beckmann
This network shows the impact of papers produced by Janet Beckmann. 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 Janet Beckmann. The network helps show where Janet Beckmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Janet Beckmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 280 | |
| 2 | 2012 | 129 | |
| 3 | 2013 | 93 | |
| 4 | 2013 | 80 | |
| 5 | 2009 | 57 | |
| 6 | 2017 | 48 | |
| 7 | 2014 | 29 | |
| 8 | 2016 | 24 | |
| 9 | 2012 | 16 | |
| 10 | 2016 | 8 |
About Janet Beckmann
Janet Beckmann is a scholar working on Molecular Biology, Immunology, Nephrology, Clinical Biochemistry and Pharmacology, having authored 10 papers that have together received 764 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Renal Diseases and Glomerulopathies (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Advanced Glycation End Products research (2 papers), Immune cells in cancer (2 papers), interferon and immune responses (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Nephrology (75 citations), Cell Biology (170 citations), Immunology (211 citations), Immunology and Allergy (56 citations) and Clinical Biochemistry (51 citations). Janet Beckmann has collaborated with scholars based in Germany, United States and Romania. Frequent co-authors include Liliana Schaefer, Katrin Susanne Lips, Jinyang Zeng-Brouwers, Renato V. Iozzo, Josef Pfeilschifter, Madalina V. Nastase, José Guilherme Tralhão, Rosetta Merline, Patricia Lemarchand and Roland M. Schaefer. Their work appears in journals such as Matrix Biology, Pharmacology, Life Sciences, Cell and Tissue Research and American Journal Of Pathology.
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.