Kathrin Gianmoena
Impact in
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- Escherichia coli research studies
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- Cancer, Lipids, and Metabolism
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
- Glycosylation and Glycoproteins Research 1
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- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Cristina Cadenas (5 shared papers)Jan G. Hengstler (3 shared papers)Rainer M. Bohle (1 shared paper)Roland Hergenröder (2 shared papers)Karolina Edlund (2 shared papers)Katja Gemperlein (1 shared paper)Sonja M. Kessler (1 shared paper)Nico van Rooijen (1 shared paper)
- Journals
- Journal of Chromatography B (1 paper)Analytical and Bioanalytical Chemistry (1 paper)NMR in Biomedicine (1 paper)The Journal of Immunology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- GermanyAustriaNetherlands
In The Last Decade
Kathrin Gianmoena
7 papers receiving 135 citations
Peers
Comparison fields: 5 of 54
- Endocrinology 14
- Cancer Research 22
- Molecular Biology 83
- Epidemiology 32
- Immunology 16
Countries citing papers authored by Kathrin Gianmoena
This map shows the geographic impact of Kathrin Gianmoena'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 Kathrin Gianmoena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathrin Gianmoena more than expected).
Fields of papers citing papers by Kathrin Gianmoena
This network shows the impact of papers produced by Kathrin Gianmoena. 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 Kathrin Gianmoena. The network helps show where Kathrin Gianmoena may publish in the future.
Co-authors
The 25 scholars most cited alongside Kathrin Gianmoena, 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 | 2014 | 40 | |
| 2 | 2016 | 26 | |
| 3 | 2017 | 20 | |
| 4 | 2012 | 19 | |
| 5 | 2016 | 19 | |
| 6 | 2017 | 12 | |
| 7 | 2017 | 1 |
About Kathrin Gianmoena
Kathrin Gianmoena is a scholar working on Molecular Biology, Epidemiology, Physiology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 137 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Mass Spectrometry Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), MRI in cancer diagnosis (1 paper), Immunotherapy and Immune Responses (1 paper), T-cell and B-cell Immunology (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Endocrinology (14 citations), Cancer Research (22 citations), Molecular Biology (83 citations), Epidemiology (32 citations) and Immunology (16 citations). Kathrin Gianmoena has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Cristina Cadenas, Jan G. Hengstler, Rainer M. Bohle, Roland Hergenröder, Karolina Edlund, Katja Gemperlein, Sonja M. Kessler, Nico van Rooijen, Ahmad Barghash and Jörg Lambert. Their work appears in journals such as Journal of Chromatography B, Analytical and Bioanalytical Chemistry, NMR in Biomedicine, The Journal of Immunology and International Journal of Molecular Sciences.
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.