Xiaoting Wang
Impact in
- Immunology top 5%
- IL-33, ST2, and ILC Pathways
- Psoriasis: Treatment and Pathogenesis
- Parasitology top 5%
Papers in
- Immunology 15
- Psoriasis: Treatment and Pathogenesis 5
-
- Parasites and Host Interactions 8
- Co-authors
- Wenjun Ouyang (8 shared papers)Sascha Rutz (2 shared papers)Lauri J. Diehl (4 shared papers)Paolo S. Manzanillo (2 shared papers)Céline Eidenschenk (2 shared papers)Naruhisa Ota (2 shared papers)Jose Zavala‐Solorio (2 shared papers)Ganesh A. Kolumam (2 shared papers)
- Journals
- PLoS ONE (4 papers)Frontiers in Oncology (2 papers)Nature (2 papers)Scientific Reports (2 papers)Chemical Engineering Journal (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoting Wang
101 papers receiving 3.3k citations
Xiaoting Wang's Hit Papers
Peers
Comparison fields: 5 of 116
- Immunology 518
- Parasitology 125
- Oncology 354
- Nephrology 128
- Molecular Biology 612
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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 424 | |
| 2 | 2014 | 319 | |
| 3 | 2015 | 163 | |
| 4 | 2021 | 161 | |
| 5 | 2014 | 126 | |
| 6 | 2014 | 113 | |
| 7 | 2009 | 102 | |
| 8 | 2015 | 100 | |
| 9 | 2022 | 100 | |
| 10 | 2021 | 94 | |
| 11 | 2017 | 73 | |
| 12 | 2019 | 73 | |
| 13 | 2012 | 72 | |
| 14 | Towards in vitro models for reducing or replacing the use of animals in drug testing Hit paper breakdown → | 2023 | 66 |
| 15 | 2014 | 64 | |
| 16 | 2017 | 61 | |
| 17 | 2018 | 50 | |
| 18 | 2019 | 48 | |
| 19 | 2020 | 44 | |
| 20 | 2022 | 44 |
About Xiaoting Wang
Xiaoting Wang is a scholar working on Immunology, Parasitology, Oncology, Complementary and alternative medicine and Cancer Research, having authored 106 papers that have together received 3.4k indexed citations. Recurring topics across this work include Parasites and Host Interactions (8 papers), Psoriasis: Treatment and Pathogenesis (5 papers), Asymmetric Hydrogenation and Catalysis (5 papers), Acute Myeloid Leukemia Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Traditional Chinese Medicine Analysis (4 papers) and Sepsis Diagnosis and Treatment (3 papers). The work is most often cited by research in Immunology (518 citations), Parasitology (125 citations), Oncology (354 citations), Nephrology (128 citations) and Molecular Biology (612 citations). Xiaoting Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenjun Ouyang, Sascha Rutz, Lauri J. Diehl, Paolo S. Manzanillo, Céline Eidenschenk, Naruhisa Ota, Jose Zavala‐Solorio, Ganesh A. Kolumam, Wyne P. Lee and Justin Lesch. Their work appears in journals such as PLoS ONE, Frontiers in Oncology, Nature, Scientific Reports and Chemical Engineering Journal.
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.