Lia Luus
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Oncology top 10%
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
Papers in
- Oncology 14
- HER2/EGFR in Cancer Research 7
- Cancer Immunotherapy and Biomarkers 3
-
- Cancer therapeutics and mechanisms 2
- Co-authors
- Yuhong Guo (2 shared papers)Hüseyin Aktaş (2 shared papers)José A. Halperin (2 shared papers)Amarnath Natarajan (2 shared papers)Arthur J. Kudla (4 shared papers)Violette Paragas (7 shared papers)Charlotte F. McDonagh (5 shared papers)Michael Chorev (1 shared paper)
- Journals
- Cancer Research (10 papers)Molecular Cancer Therapeutics (2 papers)Journal of Medicinal Chemistry (2 papers)Toxicological Sciences (1 paper)Journal of Autoimmunity (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Lia Luus
24 papers receiving 634 citations
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 247
- Oncology 239
- Organic Chemistry 206
- Periodontics 19
- Molecular Biology 259
Countries citing papers authored by Lia Luus
This map shows the geographic impact of Lia Luus'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 Lia Luus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lia Luus more than expected).
Fields of papers citing papers by Lia Luus
This network shows the impact of papers produced by Lia Luus. 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 Lia Luus. The network helps show where Lia Luus may publish in the future.
Co-authors
The 25 scholars most cited alongside Lia Luus, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 222 | |
| 2 | 2004 | 165 | |
| 3 | 2013 | 72 | |
| 4 | 2004 | 52 | |
| 5 | 2003 | 31 | |
| 6 | 2019 | 27 | |
| 7 | 2019 | 15 | |
| 8 | 2004 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2009 | 6 | |
| 12 | 2004 | 4 | |
| 13 | 2010 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2012 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2019 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2022 | 1 |
About Lia Luus
Lia Luus is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 649 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), HER2/EGFR in Cancer Research (7 papers), Cell Adhesion Molecules Research (4 papers), Immunotherapy and Immune Responses (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (247 citations), Oncology (239 citations), Organic Chemistry (206 citations), Periodontics (19 citations) and Molecular Biology (259 citations). Lia Luus has collaborated with scholars based in United States and Canada. Frequent co-authors include Yuhong Guo, Hüseyin Aktaş, José A. Halperin, Amarnath Natarajan, Arthur J. Kudla, Violette Paragas, Charlotte F. McDonagh, Michael Chorev, Han Chen and Sharlene Adams. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Medicinal Chemistry, Toxicological Sciences and Journal of Autoimmunity.
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.