Anne Gleinich
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Animal Science and Zoology top 10%
Papers in
-
- vaccines and immunoinformatics approaches 2
- Glycosylation and Glycoproteins Research 2
-
- SARS-CoV-2 and COVID-19 Research 4
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Asif Shajahan (5 shared papers)Parastoo Azadi (5 shared papers)Nitin T. Supekar (3 shared papers)Christian Heiß (3 shared papers)Martina Zimmermann (2 shared papers)Stephanie Archer‐Hartmann (1 shared paper)Daniel A. Mitchell (3 shared papers)C. Remzi Becer (2 shared papers)
- Journals
- Glycobiology (3 papers)Chemical Science (1 paper)Biomacromolecules (1 paper)Polymer Chemistry (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Anne Gleinich
10 papers receiving 638 citations
Peers
Comparison fields: 5 of 82
- Infectious Diseases 359
- Animal Science and Zoology 48
- Immunology 90
- Molecular Biology 291
- Ecology 97
Countries citing papers authored by Anne Gleinich
This map shows the geographic impact of Anne Gleinich'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 Anne Gleinich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Gleinich more than expected).
Fields of papers citing papers by Anne Gleinich
This network shows the impact of papers produced by Anne Gleinich. 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 Anne Gleinich. The network helps show where Anne Gleinich may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Gleinich, 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 | 2020 | 346 | |
| 2 | 2020 | 110 | |
| 3 | 2010 | 56 | |
| 4 | 2017 | 34 | |
| 5 | 2021 | 32 | |
| 6 | 2017 | 29 | |
| 7 | 2016 | 20 | |
| 8 | 2023 | 15 | |
| 9 | 2012 | 7 | |
| 10 | Vaccines and Therapeutics for COVID-19 - How Can Understanding SARS-CoV-2 Glycosylation Lead to Pharmaceutical Advances? | 2021 | 1 |
About Anne Gleinich
Anne Gleinich is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Organic Chemistry and Pharmacology, having authored 10 papers that have together received 650 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Immunotherapy and Immune Responses (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), vaccines and immunoinformatics approaches (2 papers), Glycosylation and Glycoproteins Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Infectious Diseases (359 citations), Animal Science and Zoology (48 citations), Immunology (90 citations), Molecular Biology (291 citations) and Ecology (97 citations). Anne Gleinich has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Asif Shajahan, Parastoo Azadi, Nitin T. Supekar, Christian Heiß, Martina Zimmermann, Stephanie Archer‐Hartmann, Daniel A. Mitchell, C. Remzi Becer, David M. Haddleton and Qiang Zhang. Their work appears in journals such as Glycobiology, Chemical Science, Biomacromolecules, Polymer Chemistry and Journal of Neurochemistry.
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.