Xiting Cao
Impact in
- Family Practice top 10%
- Reproductive Medicine top 10%
- Ovarian function and disorders
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 7
- Chronic Myeloid Leukemia Treatments 4
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- Lung Cancer Treatments and Mutations 7
- Co-authors
- Thomas Burke (6 shared papers)Ashwini Arunachalam (6 shared papers)David P. Carbone (3 shared papers)Amy P. Abernethy (3 shared papers)Caroline McKay (2 shared papers)Frank Xiaoqing Liu (3 shared papers)N. W. Peacock (2 shared papers)Anna Gu (2 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Blood (5 papers)PLoS ONE (3 papers)Clinical Lung Cancer (2 papers)Clinical Therapeutics (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Xiting Cao
45 papers receiving 693 citations
Peers
Comparison fields: 5 of 67
- Family Practice 15
- Reproductive Medicine 53
- Oncology 154
- Pulmonary and Respiratory Medicine 172
- Cancer Research 58
Countries citing papers authored by Xiting Cao
This map shows the geographic impact of Xiting Cao'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 Xiting Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiting Cao more than expected).
Fields of papers citing papers by Xiting Cao
This network shows the impact of papers produced by Xiting Cao. 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 Xiting Cao. The network helps show where Xiting Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiting Cao, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 143 | |
| 2 | 2017 | 80 | |
| 3 | 2018 | 55 | |
| 4 | 2018 | 52 | |
| 5 | 2021 | 47 | |
| 6 | 2015 | 39 | |
| 7 | 2018 | 38 | |
| 8 | 2022 | 36 | |
| 9 | 2018 | 22 | |
| 10 | 2018 | 22 | |
| 11 | 2017 | 17 | |
| 12 | 2018 | 16 | |
| 13 | 2016 | 16 | |
| 14 | 2019 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2022 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2011 | 8 | |
| 20 | 2019 | 8 |
About Xiting Cao
Xiting Cao is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Oncology, Genetics and Molecular Biology, having authored 47 papers that have together received 705 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Lung Cancer Treatments and Mutations (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Nausea and vomiting management (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Family Practice (15 citations), Reproductive Medicine (53 citations), Oncology (154 citations), Pulmonary and Respiratory Medicine (172 citations) and Cancer Research (58 citations). Xiting Cao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Thomas Burke, Ashwini Arunachalam, David P. Carbone, Amy P. Abernethy, Caroline McKay, Frank Xiaoqing Liu, N. W. Peacock, Anna Gu, Melissa Rammage and James Gilmore. Their work appears in journals such as Journal of Clinical Oncology, Blood, PLoS ONE, Clinical Lung Cancer and Clinical Therapeutics.
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.