Anke Unger
Impact in
- Immunology top 10%
- Phagocytosis and Immune Regulation
- Immune Cell Function and Interaction
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Synthesis and biological activity 8
- Synthesis and Characterization of Heterocyclic Compounds 4
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- Computational Drug Discovery Methods 5
- Co-authors
- Markus O. Lederer (1 shared paper)Bert Klebl (10 shared papers)Carmen M. Breitling-Utzmann (1 shared paper)Stefan Laufer (4 shared papers)Wolfgang Albrecht (3 shared papers)Jan Eickhoff (7 shared papers)Hanife Bahsi (1 shared paper)Manfred Marschall (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (7 papers)Oncotarget (2 papers)Nature (2 papers)European Journal of Medicinal Chemistry (2 papers)Cell Host & Microbe (2 papers)
- Partner nations
- GermanyNorwayUnited Kingdom
In The Last Decade
Anke Unger
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Immunology 223
- Cancer Research 97
- Clinical Biochemistry 34
- Oncology 151
- Molecular Biology 354
Countries citing papers authored by Anke Unger
This map shows the geographic impact of Anke Unger'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 Anke Unger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Unger more than expected).
Fields of papers citing papers by Anke Unger
This network shows the impact of papers produced by Anke Unger. 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 Anke Unger. The network helps show where Anke Unger may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Unger, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 389 | |
| 2 | 2020 | 201 | |
| 3 | 2015 | 95 | |
| 4 | 2019 | 72 | |
| 5 | 2001 | 60 | |
| 6 | 2019 | 38 | |
| 7 | 2018 | 37 | |
| 8 | 2017 | 29 | |
| 9 | 2018 | 28 | |
| 10 | 2009 | 24 | |
| 11 | 2015 | 22 | |
| 12 | 2017 | 18 | |
| 13 | 2013 | 17 | |
| 14 | 2018 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2024 | 13 | |
| 18 | 2008 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 11 |
About Anke Unger
Anke Unger is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Synthesis and biological activity (8 papers), Computational Drug Discovery Methods (5 papers), Synthesis and Characterization of Heterocyclic Compounds (4 papers), Lung Cancer Treatments and Mutations (3 papers), Protein Degradation and Inhibitors (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Mitochondrial Function and Pathology (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Immunology (223 citations), Cancer Research (97 citations), Clinical Biochemistry (34 citations), Oncology (151 citations) and Molecular Biology (354 citations). Anke Unger has collaborated with scholars based in Germany, Norway and United Kingdom. Frequent co-authors include Markus O. Lederer, Bert Klebl, Carmen M. Breitling-Utzmann, Stefan Laufer, Wolfgang Albrecht, Jan Eickhoff, Hanife Bahsi, Manfred Marschall, Corina Hutterer and Isabel Zeitträger. Their work appears in journals such as Journal of Medicinal Chemistry, Oncotarget, Nature, European Journal of Medicinal Chemistry and Cell Host & Microbe.
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.