Danielle Lenig
Impact in
- Immunology top 0.2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Virology top 1%
- HIV Research and Treatment
Papers in
-
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
- Oncology 3
- Chemokine receptors and signaling 3
- Co-authors
- Antonio Lanzavecchia (6 shared papers)Federica Sallusto (6 shared papers)Martin Lipp (4 shared papers)Reinhold Förster (4 shared papers)Charles Reay Mackay (2 shared papers)Pius Loetscher (1 shared paper)Patrick Schaerli (1 shared paper)Christoph Schaniel (1 shared paper)
- Journals
- European Journal of Immunology (2 papers)Nature (2 papers)The Journal of Experimental Medicine (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Danielle Lenig
7 papers receiving 7.9k citations
Danielle Lenig's Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 6.3k
- Virology 578
- Oncology 2.0k
- Immunology and Allergy 353
- Dermatology 247
Countries citing papers authored by Danielle Lenig
This map shows the geographic impact of Danielle Lenig'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 Danielle Lenig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Lenig more than expected).
Fields of papers citing papers by Danielle Lenig
This network shows the impact of papers produced by Danielle Lenig. 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 Danielle Lenig. The network helps show where Danielle Lenig may publish in the future.
Co-authors
The 15 scholars most cited alongside Danielle Lenig, 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 | Two subsets of memory T lymphocytes with distinct homing potentials and effector functions Hit paper breakdown → | 1999 | 4982 |
| 2 | Flexible Programs of Chemokine Receptor Expression on Human Polarized T Helper 1 and 2 Lymphocytes Hit paper breakdown → | 1998 | 1388 |
| 3 | Rapid and coordinated switch in chemokine receptor expression during dendritic cell maturation Hit paper breakdown → | 1998 | 961 |
| 4 | 1999 | 582 | |
| 5 | 1999 | 149 | |
| 6 | 1996 | 34 | |
| 7 | 2014 | 11 |
About Danielle Lenig
Danielle Lenig is a scholar working on Immunology, Oncology, Cardiology and Cardiovascular Medicine, Molecular Biology and Insect Science, having authored 7 papers that have together received 8.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (3 papers), Chemokine receptors and signaling (3 papers), RNA and protein synthesis mechanisms (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Immunology (6.3k citations), Virology (578 citations), Oncology (2.0k citations), Immunology and Allergy (353 citations) and Dermatology (247 citations). Danielle Lenig has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Antonio Lanzavecchia, Federica Sallusto, Martin Lipp, Reinhold Förster, Charles Reay Mackay, Pius Loetscher, Patrick Schaerli, Christoph Schaniel, Shixin Qin and Minja Miettinen. Their work appears in journals such as European Journal of Immunology, Nature, The Journal of Experimental Medicine and The Journal of Immunology.
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.