Qi Xia
Impact in
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- Cancer Genomics and Diagnostics
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- Renal cell carcinoma treatment
Papers in
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- Fibroblast Growth Factor Research 5
- Surgery 7
- Bladder and Urothelial Cancer Treatments 5
- Esophageal and GI Pathology 2
- Co-authors
- David F. McDermott (1 shared paper)Janice Dutcher (1 shared paper)Ulka N. Vaishampayan (1 shared paper)Fairooz F. Kabbinavar (1 shared paper)Sandy Srinivas (1 shared paper)Keith T. Flaherty (1 shared paper)Ronald M. Bukowski (1 shared paper)Harry A. Drabkin (1 shared paper)
- Journals
- Journal of Clinical Oncology (6 papers)Blood (3 papers)Journal of Biopharmaceutical Statistics (2 papers)The Journal of Urology (2 papers)Cancer Letters (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Qi Xia
25 papers receiving 431 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 94
- Pulmonary and Respiratory Medicine 195
- Gastroenterology 29
- Oncology 92
- Genetics 26
Countries citing papers authored by Qi Xia
This map shows the geographic impact of Qi Xia'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 Qi Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Xia more than expected).
Fields of papers citing papers by Qi Xia
This network shows the impact of papers produced by Qi Xia. 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 Qi Xia. The network helps show where Qi Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Xia, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 231 | |
| 2 | 1991 | 36 | |
| 3 | The Functional Assessment of Anorexia/Cachexia Therapy (FAACT) Appetite Scale in veteran cancer patients. | 2005 | 29 |
| 4 | 2021 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2023 | 12 | |
| 8 | 2019 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2007 | 7 | |
| 12 | Serum glucose- and C-reactive protein-based assessment of stress status in a healthy population. | 2010 | 5 |
| 13 | 2019 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 1991 | 4 | |
| 16 | 2007 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 1991 | 2 | |
| 20 | 2024 | 2 |
About Qi Xia
Qi Xia is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Hematology, having authored 30 papers that have together received 436 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (5 papers), Bladder and Urothelial Cancer Treatments (5 papers), Acute Myeloid Leukemia Research (3 papers), Renal cell carcinoma treatment (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Esophageal and GI Pathology (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (94 citations), Pulmonary and Respiratory Medicine (195 citations), Gastroenterology (29 citations), Oncology (92 citations) and Genetics (26 citations). Qi Xia has collaborated with scholars based in United States, China and Germany. Frequent co-authors include David F. McDermott, Janice Dutcher, Ulka N. Vaishampayan, Fairooz F. Kabbinavar, Sandy Srinivas, Keith T. Flaherty, Ronald M. Bukowski, Harry A. Drabkin, Robert A. Figlin and Frank A. Scappaticci. Their work appears in journals such as Journal of Clinical Oncology, Blood, Journal of Biopharmaceutical Statistics, The Journal of Urology and Cancer Letters.
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.