Yaping Shou
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Multiple Myeloma Research and Treatments
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 37
- Chronic Lymphocytic Leukemia Research 35
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Hematology 31
- Chronic Myeloid Leukemia Treatments 24
- Multiple Myeloma Research and Treatments 5
- Co-authors
- Andreas HochhausFrancis J. GilesHagop M. KantarjianMd Ariful HaqueGiuseppe SaglioTimothy P. HughesNorbert GattermannJerald P. Radich
- Journals
- Blood (25 papers)Journal of Clinical Oncology (14 papers)Clinical Cancer Research (2 papers)Future Oncology (2 papers)Leukemia (2 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Yaping Shou
67 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Hematology 1.8k
- Genetics 1.5k
- Rheumatology 826
- Oncology 686
- Pathology and Forensic Medicine 439
Countries citing papers authored by Yaping Shou
This map shows the geographic impact of Yaping Shou'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 Yaping Shou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Shou more than expected).
Fields of papers citing papers by Yaping Shou
This network shows the impact of papers produced by Yaping Shou. 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 Yaping Shou. The network helps show where Yaping Shou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaping Shou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 8 | |
| 2 | 2021 | 56 | |
| 3 | 2020 | 67 | |
| 4 | 2019 | 16 | |
| 5 | 2019 | 24 | |
| 6 | 2017 | 76 | |
| 7 | 2017 | 0 | |
| 8 | 2017 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 2014 | 187 | |
| 11 | 2014 | 44 | |
| 12 | 2013 | 3 | |
| 13 | 2011 | 63 | |
| 14 | Early molecular response to nilotinib in patients who failed imatinib is associated with a higher probability of cytogenetic response in chronic myeloid leukemia (CML) | 2010 | 1 |
| 15 | 2009 | 236 | |
| 16 | 2008 | 31 | |
| 17 | 2007 | 91 | |
| 18 | 2007 | 17 | |
| 19 | 1999 | 85 | |
| 20 | 1998 | 45 |
About Yaping Shou
Yaping Shou is a scholar working on Genetics, Hematology, Rheumatology, Immunology and Oncology, having authored 68 papers that have together received 3.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (35 papers), Chronic Myeloid Leukemia Treatments (24 papers), Lymphoma Diagnosis and Treatment (11 papers), CAR-T cell therapy research (10 papers), Eosinophilic Disorders and Syndromes (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (1.5k citations), Rheumatology (826 citations), Oncology (686 citations) and Pathology and Forensic Medicine (439 citations). Yaping Shou has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Andreas Hochhaus, Francis J. Giles, Hagop M. Kantarjian, Md Ariful Haque, Giuseppe Saglio, Timothy P. Hughes, Norbert Gattermann, Jerald P. Radich, Kapil N. Bhalla and W. Michael Kuehl. Their work appears in journals such as Blood, Journal of Clinical Oncology, Clinical Cancer Research, Future Oncology and Leukemia.
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.