Ting Xu
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
Papers in
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- Pregnancy and preeclampsia studies 13
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- Birth, Development, and Health 9
- Co-authors
- Xiaowen Tang (4 shared papers)Xiaming Zhu (4 shared papers)Jia Yin (4 shared papers)Haiping Dai (4 shared papers)Depei Wu (6 shared papers)Wenhong Shen (1 shared paper)Guanghua Chen (1 shared paper)Ansel P. Nalin (1 shared paper)
- Journals
- Blood (4 papers)Reproductive Toxicology (3 papers)Hypertension (2 papers)PLoS ONE (2 papers)Physica A Statistical Mechanics and its Applications (2 papers)
- Partner nations
- ChinaUnited StatesUganda
In The Last Decade
Ting Xu
57 papers receiving 917 citations
Ting Xu's Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 310
- Obstetrics and Gynecology 104
- Oncology 339
- Hematology 93
- Safety, Risk, Reliability and Quality 79
Countries citing papers authored by Ting Xu
This map shows the geographic impact of Ting Xu'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 Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Xu more than expected).
Fields of papers citing papers by Ting Xu
This network shows the impact of papers produced by Ting Xu. 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 Xu. The network helps show where Ting Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Xu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Erratum: First-in-man clinical trial of CAR NK-92 cells: safety test of CD33-CAR NK-92 cells in patients with relapsed and refractory acute myeloid leukemia. Hit paper breakdown → | 2018 | 363 |
| 2 | 2020 | 55 | |
| 3 | 2016 | 45 | |
| 4 | 2015 | 30 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2018 | 21 | |
| 8 | 2019 | 20 | |
| 9 | 2019 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2016 | 18 | |
| 13 | 2019 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2019 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 2019 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2018 | 11 |
About Ting Xu
Ting Xu is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Safety, Risk, Reliability and Quality, Oncology and Hematology, having authored 63 papers that have together received 927 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (13 papers), Traffic and Road Safety (10 papers), Birth, Development, and Health (9 papers), Traffic Prediction and Management Techniques (6 papers), Traffic control and management (6 papers), Autonomous Vehicle Technology and Safety (4 papers), CAR-T cell therapy research (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Immunology (310 citations), Obstetrics and Gynecology (104 citations), Oncology (339 citations), Hematology (93 citations) and Safety, Risk, Reliability and Quality (79 citations). Ting Xu has collaborated with scholars based in China, United States and Uganda. Frequent co-authors include Xiaowen Tang, Xiaming Zhu, Jia Yin, Haiping Dai, Depei Wu, Wenhong Shen, Guanghua Chen, Ansel P. Nalin, Zheng Li and Jianhua Yu. Their work appears in journals such as Blood, Reproductive Toxicology, Hypertension, PLoS ONE and Physica A Statistical Mechanics and its Applications.
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.