Ting Zhao
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 6
- Immunology top 5%
- Immune cells in cancer 11
- Immune Cell Function and Interaction 10
- Hematology top 5%
- Acute Myeloid Leukemia Research 16
- Hematopoietic Stem Cell Transplantation 12
- Chronic Myeloid Leukemia Treatments 9
- Geriatrics and Gerontology top 5%
- Molecular Biology top 5%
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- Acute Lymphoblastic Leukemia research 9
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- Chronic Lymphocytic Leukemia Research 5
- Cited by
- Cancer ResearchImmunologyHematology
- Journals
- Journal of Biological Chemistry (1 paper)Neuron (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ting Zhao
97 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 792
- Immunology 695
- Hematology 316
- Geriatrics and Gerontology 92
- Molecular Biology 1.5k
Countries citing papers authored by Ting Zhao
This map shows the geographic impact of Ting Zhao'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 Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Zhao more than expected).
Fields of papers citing papers by Ting Zhao
This network shows the impact of papers produced by Ting Zhao. 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 Zhao. The network helps show where Ting Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ting Zhao, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 46 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 71 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 15 | |
| 12 | Chitinase-3 like-protein-1 function and its role in diseasesbreakdown → | 2020 | 326 |
| 13 | 2019 | 3 | |
| 14 | Transthyretin Stimulates Tumor Growth through Regulation of Tumor, Immune, and Endothelial Cells | 2019 | 0 |
| 15 | Rab7 GTPase controls lipid metabolic signaling in myeloid-derived suppressor cells | 2017 | 1 |
| 16 | 2017 | 7 | |
| 17 | Hepatocyte-Specific Expression of Human Lysosome Acid Lipase Corrects Liver Inflammation and Tumor Metastasis in lal(-/-) Mice | 2015 | 1 |
| 18 | Activation of mTOR pathway in myeloid-derived suppressor cells stimulates cancer cell proliferation and metastasis in lal(-/-) mice | 2015 | 0 |
| 19 | 2014 | 55 | |
| 20 | 2010 | 54 |
About Ting Zhao
Ting Zhao is a scholar working on Hematology, Immunology and Genetics, having authored 105 papers that have together received 2.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Hematopoietic Stem Cell Transplantation (12 papers), Immune cells in cancer (11 papers), Immune Cell Function and Interaction (10 papers), Chronic Myeloid Leukemia Treatments (9 papers), Acute Lymphoblastic Leukemia research (9 papers), Cancer-related molecular mechanisms research (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Cancer Research (792 citations), Immunology (695 citations) and Hematology (316 citations). Ting Zhao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qiang You, Jian Li, Alex F. Chen, Xianmin Mu, Zhongping Su, Yingchang Li, Xiaoren Zhang, Cong Yan, Hong Du and Jinshun Pan. Their work appears in journals such as Journal of Biological Chemistry, Neuron 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.