Ting Lu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Immune Cell Function and Interaction
Papers in
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- Cancer-related gene regulation 2
- Extracellular vesicles in disease 2
- Epigenetics and DNA Methylation 2
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- Immune Cell Function and Interaction 5
- Co-authors
- Zhou Zhu (1 shared paper)Hua She (1 shared paper)Junchao Wu (1 shared paper)Haidong Xu (1 shared paper)Rong Han (1 shared paper)Zheng‐Hong Qin (1 shared paper)Zhengnian Ding (2 shared papers)Chunyan Ji (5 shared papers)
- Journals
- Cancer Research (2 papers)Cell Communication and Signaling (2 papers)Stem Cell Research & Therapy (1 paper)Molecular Neurobiology (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Ting Lu
30 papers receiving 396 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 56
- Immunology 64
- Developmental Neuroscience 11
- Geriatrics and Gerontology 9
- Pathology and Forensic Medicine 43
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
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 47 | |
| 2 | 2017 | 44 | |
| 3 | 2017 | 26 | |
| 4 | 2015 | 24 | |
| 5 | 2018 | 24 | |
| 6 | 2017 | 24 | |
| 7 | 2021 | 23 | |
| 8 | 2016 | 23 | |
| 9 | 2022 | 20 | |
| 10 | 2023 | 19 | |
| 11 | 2021 | 17 | |
| 12 | 2021 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2017 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2015 | 7 | |
| 19 | 2012 | 5 | |
| 20 | 2021 | 5 |
About Ting Lu
Ting Lu is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 399 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related gene regulation (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), CAR-T cell therapy research (2 papers), Extracellular vesicles in disease (2 papers), Epigenetics and DNA Methylation (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (56 citations), Immunology (64 citations), Developmental Neuroscience (11 citations), Geriatrics and Gerontology (9 citations) and Pathology and Forensic Medicine (43 citations). Ting Lu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Zhou Zhu, Hua She, Junchao Wu, Haidong Xu, Rong Han, Zheng‐Hong Qin, Zhengnian Ding, Chunyan Ji, Daoxin Ma and Zhimin Fan. Their work appears in journals such as Cancer Research, Cell Communication and Signaling, Stem Cell Research & Therapy, Molecular Neurobiology and PLoS ONE.
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.