Hanna Lewicki
- Immunology top 0.5%
- Virology top 0.2%
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Molecular Biology top 10%
- Co-authors
- Michael B. A. OldstonePersephone BorrowBeatrice H. HahnGeorge M. ShawAntoinette TishonJean Edouard GairinMichael NerenbergJennifer A. Price
- Topics
- Immune Cell Function and Interaction (14 papers)Virology and Viral Diseases (11 papers)Immunotherapy and Immune Responses (10 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Hanna Lewicki
43 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 3.4k
- Virology 2.4k
- Infectious Diseases 1.8k
- Epidemiology 1.5k
- Molecular Biology 908
Countries citing papers authored by Hanna Lewicki
This map shows the geographic impact of Hanna Lewicki'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 Hanna Lewicki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanna Lewicki more than expected).
Fields of papers citing papers by Hanna Lewicki
This network shows the impact of papers produced by Hanna Lewicki. 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 Hanna Lewicki. The network helps show where Hanna Lewicki may publish in the future.
Co-authorship network of co-authors of Hanna Lewicki
This figure shows the co-authorship network connecting the top 25 collaborators of Hanna Lewicki. A scholar is included among the top collaborators of Hanna Lewicki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hanna Lewicki. Hanna Lewicki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 177 | |
| 3 | 30 | |
| 4 | 26 | |
| 5 | 21 | |
| 6 | 27 | |
| 7 | 74 | |
| 8 | 129 | |
| 9 | 15 | |
| 10 | 15 | |
| 11 | 126 | |
| 12 | 33 | |
| 13 | Antiviral pressure exerted by HIV-l-specific cytotoxic T lymphocytes (CTLs) during primary infection demonstrated by rapid selection of CTL escape virusbreakdown → | 960 |
| 14 | 130 | |
| 15 | 141 | |
| 16 | 17 | |
| 17 | Virus infection triggers insulin-dependent diabetes mellitus in a transgenic model: Role of anti-self (virus) immune responsebreakdown → | 612 |
| 18 | 151 | |
| 19 | 39 | |
| 20 | 2 |
About Hanna Lewicki
Hanna Lewicki is a scholar working on Immunology, Infectious Diseases and Virology, having authored 43 papers that have together received 5.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), Virology and Viral Diseases (11 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Virology (2.4k citations), Immunology (3.4k citations) and Infectious Diseases (1.8k citations). Hanna Lewicki has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Michael B. A. Oldstone, Persephone Borrow, Beatrice H. Hahn, George M. Shaw, Antoinette Tishon, Jean Edouard Gairin, Michael Nerenberg, Jennifer A. Price, Peter J. Southern and J. Lindsay Whitton. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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.