David Lieb
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Health, Toxicology and Mutagenesis top 10%
- Immunology
- Biomedical Engineering
- Co-authors
- David H. FineF. RufehSebastian ThrunDavid P. RounbehlerNir HacohenThomas EisenhaureRaktima RaychowdhuryYuk Yuen Lan
- Topics
- Advanced Chemical Sensor Technologies (4 papers)interferon and immune responses (2 papers)Cancer Immunotherapy and Biomarkers (2 papers)
- Partner nations
- United StatesSwedenJapan
In The Last Decade
David Lieb
15 papers receiving 519 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 149
- Computer Vision and Pattern Recognition 113
- Health, Toxicology and Mutagenesis 103
- Immunology 103
- Biomedical Engineering 98
Countries citing papers authored by David Lieb
This map shows the geographic impact of David Lieb'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 David Lieb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lieb more than expected).
Fields of papers citing papers by David Lieb
This network shows the impact of papers produced by David Lieb. 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 David Lieb. The network helps show where David Lieb may publish in the future.
Co-authorship network of co-authors of David Lieb
This figure shows the co-authorship network connecting the top 25 collaborators of David Lieb. A scholar is included among the top collaborators of David Lieb 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 David Lieb. David Lieb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Cytotoxic CD4+ T cells eliminate senescent cells by targeting cytomegalovirus antigenbreakdown → | 85 |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 95 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 64 | |
| 11 | 8 | |
| 12 | 72 | |
| 13 | 2 | |
| 14 | 88 | |
| 15 | 130 | |
| 16 | 16 | |
| 17 | 30 | |
| 18 | 7 |
About David Lieb
David Lieb is a scholar working on Immunology, Computer Vision and Pattern Recognition and Nephrology, having authored 18 papers that have together received 620 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (4 papers), interferon and immune responses (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (103 citations), Aging (13 citations) and Computer Vision and Pattern Recognition (113 citations). David Lieb has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include David H. Fine, F. Rufeh, Sebastian Thrun, David P. Rounbehler, Nir Hacohen, Thomas Eisenhaure, Raktima Raychowdhury, Yuk Yuen Lan, James Heather and Christopher Garris. Their work appears in journals such as Nature, Cell and Journal of Clinical Oncology.
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.