Xiaoting Wang
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Psoriasis: Treatment and Pathogenesis
- Parasitology top 5%
- Parasites and Host Interactions
Papers in
-
- RNA modifications and cancer 5
- Immunology 19
- Psoriasis: Treatment and Pathogenesis 6
- Immune Cell Function and Interaction 6
- Co-authors
- Wenjun Ouyang (9 shared papers)Sascha Rutz (3 shared papers)Kit Hong Wong (2 shared papers)Lauri Diehl (4 shared papers)Naruhisa Ota (2 shared papers)Paolo Manzanillo (2 shared papers)Céline Eidenschenk (2 shared papers)Jose Zavala‐Solorio (2 shared papers)
- Journals
- PLoS ONE (4 papers)Frontiers in Oncology (2 papers)RSC Advances (2 papers)Scientific Reports (2 papers)Annals of Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoting Wang
97 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 123
- Immunology 874
- Parasitology 131
- Biological Psychiatry 36
- Oncology 388
- Nephrology 96
Countries citing papers authored by Xiaoting Wang
This map shows the geographic impact of Xiaoting Wang'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 Xiaoting Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Wang more than expected).
Fields of papers citing papers by Xiaoting Wang
This network shows the impact of papers produced by Xiaoting Wang. 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 Xiaoting Wang. The network helps show where Xiaoting Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Wang, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 390 | |
| 2 | 2014 | 301 | |
| 3 | 2017 | 234 | |
| 4 | 2015 | 155 | |
| 5 | 2014 | 122 | |
| 6 | 2009 | 98 | |
| 7 | 2015 | 96 | |
| 8 | 2022 | 85 | |
| 9 | 2021 | 79 | |
| 10 | 2012 | 73 | |
| 11 | 2017 | 70 | |
| 12 | 2014 | 64 | |
| 13 | 2017 | 60 | |
| 14 | 2019 | 45 | |
| 15 | 2018 | 43 | |
| 16 | 2014 | 42 | |
| 17 | 2020 | 42 | |
| 18 | 2014 | 41 | |
| 19 | 2022 | 38 | |
| 20 | 2019 | 37 |
About Xiaoting Wang
Xiaoting Wang is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Epidemiology, having authored 101 papers that have together received 3.0k indexed citations. Recurring topics across this work include Parasites and Host Interactions (8 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Immune Cell Function and Interaction (6 papers), Asymmetric Hydrogenation and Catalysis (5 papers), RNA modifications and cancer (5 papers), CAR-T cell therapy research (5 papers), Autophagy in Disease and Therapy (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Immunology (874 citations), Parasitology (131 citations), Biological Psychiatry (36 citations), Oncology (388 citations) and Nephrology (96 citations). Xiaoting Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenjun Ouyang, Sascha Rutz, Kit Hong Wong, Lauri Diehl, Naruhisa Ota, Paolo Manzanillo, Céline Eidenschenk, Jose Zavala‐Solorio, Wyne P. Lee and Ganesh Kolumam. Their work appears in journals such as PLoS ONE, Frontiers in Oncology, RSC Advances, Scientific Reports and Annals of Translational Medicine.
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.