Hailing Lu
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immune cells in cancer
- T-cell and B-cell Immunology
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 38
- Immunotherapy and Immune Responses 27
- Immune Response and Inflammation 9
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 7
- Oncology 22
- Cancer Immunotherapy and Biomarkers 8
- CAR-T cell therapy research 6
- Co-authors
- Mary L. Disis (23 shared papers)Ekram Gad (12 shared papers)Vivian Goodell (5 shared papers)Abbi L. Engel (2 shared papers)Yushe Dang (7 shared papers)Gregory E. Holt (1 shared paper)Yi Yang (6 shared papers)Keith L. Knutson (3 shared papers)
- Journals
- Journal of Clinical Oncology (9 papers)Clinical Cancer Research (6 papers)Blood (4 papers)Cancer Research (4 papers)The Journal of Immunology (3 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Hailing Lu
63 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 109
- Immunology 1.4k
- Oncology 917
- Molecular Biology 726
- Radiology, Nuclear Medicine and Imaging 219
- Cancer Research 114
Countries citing papers authored by Hailing Lu
This map shows the geographic impact of Hailing Lu'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 Hailing Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailing Lu more than expected).
Fields of papers citing papers by Hailing Lu
This network shows the impact of papers produced by Hailing Lu. 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 Hailing Lu. The network helps show where Hailing Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailing Lu, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 248 | |
| 2 | 2011 | 170 | |
| 3 | 2011 | 142 | |
| 4 | 2008 | 134 | |
| 5 | 2010 | 129 | |
| 6 | 2018 | 107 | |
| 7 | 2006 | 106 | |
| 8 | 2006 | 106 | |
| 9 | 2017 | 84 | |
| 10 | 1997 | 77 | |
| 11 | 2011 | 74 | |
| 12 | 2014 | 74 | |
| 13 | 2019 | 73 | |
| 14 | 2008 | 72 | |
| 15 | 2003 | 72 | |
| 16 | 2010 | 66 | |
| 17 | 2016 | 57 | |
| 18 | 2012 | 56 | |
| 19 | 1996 | 55 | |
| 20 | 2001 | 53 |
About Hailing Lu
Hailing Lu is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (27 papers), Immune Response and Inflammation (9 papers), T-cell and B-cell Immunology (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Immune Cell Function and Interaction (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (6 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Immunology (1.4k citations), Oncology (917 citations), Molecular Biology (726 citations), Radiology, Nuclear Medicine and Imaging (219 citations) and Cancer Research (114 citations). Hailing Lu has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Mary L. Disis, Ekram Gad, Vivian Goodell, Abbi L. Engel, Yushe Dang, Gregory E. Holt, Yi Yang, Keith L. Knutson, Lucio G. Costa and Marina Guizzetti. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Blood, Cancer Research 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.