Anna Lorenc
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Genetics 19
- Diabetes and associated disorders 10
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- Circadian rhythm and melatonin 8
- Co-authors
- Mark Peakman (10 shared papers)Mehmet Somel (3 shared papers)Adrian Hayday (4 shared papers)Michael Lachmann (3 shared papers)Michael Dannemann (3 shared papers)Diethard Tautz (3 shared papers)Philipp Khaitovich (3 shared papers)Thomas Giger (2 shared papers)
- Journals
- Nature Immunology (2 papers)Bioinformatics (2 papers)Diabetes (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Biology and Evolution (2 papers)
- Partner nations
- United KingdomPolandUnited States
In The Last Decade
Anna Lorenc
54 papers receiving 2.5k citations
Anna Lorenc's Hit Papers
Peers
Comparison fields: 5 of 126
- Infectious Diseases 600
- Immunology 604
- Genetics 522
- Neurology 250
- Aging 27
Countries citing papers authored by Anna Lorenc
This map shows the geographic impact of Anna Lorenc'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 Anna Lorenc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Lorenc more than expected).
Fields of papers citing papers by Anna Lorenc
This network shows the impact of papers produced by Anna Lorenc. 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 Anna Lorenc. The network helps show where Anna Lorenc may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Lorenc, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A dynamic COVID-19 immune signature includes associations with poor prognosis Hit paper breakdown → | 2020 | 706 |
| 2 | 2009 | 288 | |
| 3 | 2014 | 197 | |
| 4 | 2019 | 159 | |
| 5 | 2016 | 124 | |
| 6 | 2012 | 112 | |
| 7 | 2016 | 89 | |
| 8 | 2022 | 83 | |
| 9 | 2021 | 81 | |
| 10 | 2017 | 75 | |
| 11 | 2018 | 55 | |
| 12 | 2005 | 38 | |
| 13 | 2003 | 37 | |
| 14 | 2019 | 35 | |
| 15 | 2007 | 34 | |
| 16 | 2003 | 34 | |
| 17 | 2018 | 31 | |
| 18 | 2022 | 30 | |
| 19 | 2016 | 29 | |
| 20 | 2017 | 25 |
About Anna Lorenc
Anna Lorenc is a scholar working on Genetics, Endocrine and Autonomic Systems, Immunology, Molecular Biology and Dermatology, having authored 57 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diabetes and associated disorders (10 papers), Circadian rhythm and melatonin (8 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers), Mitochondrial Function and Pathology (6 papers), Single-cell and spatial transcriptomics (5 papers), Pancreatic function and diabetes (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Infectious Diseases (600 citations), Immunology (604 citations), Genetics (522 citations), Neurology (250 citations) and Aging (27 citations). Anna Lorenc has collaborated with scholars based in United Kingdom, Poland and United States. Frequent co-authors include Mark Peakman, Mehmet Somel, Adrian Hayday, Michael Lachmann, Michael Dannemann, Diethard Tautz, Philipp Khaitovich, Thomas Giger, Svante Pääbo and Dmitri A. Petrov. Their work appears in journals such as Nature Immunology, Bioinformatics, Diabetes, Proceedings of the National Academy of Sciences and Molecular Biology and Evolution.
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.