Ting Lu
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
- Immunology 11
- Immune Cell Function and Interaction 11
- IL-33, ST2, and ILC Pathways 2
- Immunotherapy and Immune Responses 2
- Oncology 7
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Jianhua Yu (10 shared papers)Michael A. Caligiuri (10 shared papers)Jianying Zhang (10 shared papers)Anthony G. Mansour (8 shared papers)Lei Tian (5 shared papers)Kun‐Yu Teng (7 shared papers)Bo Xu (2 shared papers)Shoubao Ma (6 shared papers)
- Journals
- Cancer Immunology Research (2 papers)Virus Research (1 paper)The Journal of Immunology (1 paper)Gastroenterology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ting Lu
15 papers receiving 519 citations
Peers
Comparison fields: 5 of 75
- Immunology 291
- Oncology 336
- Modeling and Simulation 18
- Genetics 87
- Cancer Research 39
Countries citing papers authored by Ting Lu
This map shows the geographic impact of Ting 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 Ting Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Lu more than expected).
Fields of papers citing papers by Ting Lu
This network shows the impact of papers produced by Ting 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 Ting Lu. The network helps show where Ting Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 162 | |
| 2 | 2022 | 95 | |
| 3 | 2014 | 46 | |
| 4 | 2022 | 39 | |
| 5 | 2022 | 34 | |
| 6 | 2022 | 28 | |
| 7 | 2023 | 27 | |
| 8 | 2021 | 24 | |
| 9 | 2020 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2018 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 5 |
About Ting Lu
Ting Lu is a scholar working on Immunology, Oncology, Hematology, Genetics and Biomedical Engineering, having authored 15 papers that have together received 522 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), CAR-T cell therapy research (4 papers), IL-33, ST2, and ILC Pathways (2 papers), Immunotherapy and Immune Responses (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), 3D Printing in Biomedical Research (1 paper) and Glioma Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (291 citations), Oncology (336 citations), Modeling and Simulation (18 citations), Genetics (87 citations) and Cancer Research (39 citations). Ting Lu has collaborated with scholars based in United States and China. Frequent co-authors include Jianhua Yu, Michael A. Caligiuri, Jianying Zhang, Anthony G. Mansour, Lei Tian, Kun‐Yu Teng, Bo Xu, Shoubao Ma, Tasha Barr and Rui Ma. Their work appears in journals such as Cancer Immunology Research, Virus Research, The Journal of Immunology, Gastroenterology and Nature Communications.
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.