Xiaoling Xie
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
-
- Ubiquitin and proteasome pathways 4
- Oncology 17
- CAR-T cell therapy research 7
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Yuhua Li (20 shared papers)Ying Zhang (1 shared paper)Alan Howell (1 shared paper)J E Farley (1 shared paper)Vicki Barniak (1 shared paper)Robert J. Zagursky (1 shared paper)Robert P. Smith (1 shared paper)Leah Fletcher (1 shared paper)
- Journals
- Cell Death and Disease (3 papers)Scientific Reports (2 papers)Journal of Translational Medicine (2 papers)Journal of Biological Chemistry (2 papers)Thrombosis and Haemostasis (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaoling Xie
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Microbiology 280
- Immunology 232
- Hematology 103
- Epidemiology 291
- Oncology 183
Countries citing papers authored by Xiaoling Xie
This map shows the geographic impact of Xiaoling Xie'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 Xiaoling Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Xie more than expected).
Fields of papers citing papers by Xiaoling Xie
This network shows the impact of papers produced by Xiaoling Xie. 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 Xiaoling Xie. The network helps show where Xiaoling Xie may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Xie, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 288 | |
| 2 | 2021 | 104 | |
| 3 | 2009 | 90 | |
| 4 | 2020 | 71 | |
| 5 | 2003 | 38 | |
| 6 | 2002 | 37 | |
| 7 | 1999 | 37 | |
| 8 | 2000 | 35 | |
| 9 | 2020 | 27 | |
| 10 | 1999 | 25 | |
| 11 | 2003 | 21 | |
| 12 | 2018 | 20 | |
| 13 | 2000 | 19 | |
| 14 | 2016 | 19 | |
| 15 | 2017 | 17 | |
| 16 | 2012 | 17 | |
| 17 | 2019 | 16 | |
| 18 | 2022 | 16 | |
| 19 | 2018 | 16 | |
| 20 | 2023 | 16 |
About Xiaoling Xie
Xiaoling Xie is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Hematology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (6 papers), Hypothalamic control of reproductive hormones (5 papers), Stress Responses and Cortisol (4 papers), Computational Drug Discovery Methods (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Microbiology (280 citations), Immunology (232 citations), Hematology (103 citations), Epidemiology (291 citations) and Oncology (183 citations). Xiaoling Xie has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yuhua Li, Ying Zhang, Alan Howell, J E Farley, Vicki Barniak, Robert J. Zagursky, Robert P. Smith, Leah Fletcher, Gary W. Zlotnick and Jasna Fejzo. Their work appears in journals such as Cell Death and Disease, Scientific Reports, Journal of Translational Medicine, Journal of Biological Chemistry and Thrombosis and Haemostasis.
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.