Albert Qin
Impact in
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Genetics 25
- Myeloproliferative Neoplasms: Diagnosis and Treatment 25
- Rheumatology 16
- Eosinophilic Disorders and Syndromes 14
- Co-authors
- Yi‐Wen Huang (9 shared papers)Pei‐Jer Chen (5 shared papers)Oleh Zagrijtschuk (13 shared papers)Raymond Urbanski (5 shared papers)James J. O’Leary (5 shared papers)Norio Komatsu (12 shared papers)Ching‐Leou Teng (2 shared papers)Chao‐Wei Hsu (3 shared papers)
- Journals
- Blood (7 papers)Journal of Clinical Oncology (5 papers)International Journal of Hematology (3 papers)Advances in Therapy (3 papers)Future Oncology (3 papers)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Albert Qin
43 papers receiving 316 citations
Peers
Comparison fields: 5 of 38
- Genetics 157
- Hematology 87
- Rheumatology 89
- Hepatology 41
- Oncology 89
Countries citing papers authored by Albert Qin
This map shows the geographic impact of Albert Qin'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 Albert Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Qin more than expected).
Fields of papers citing papers by Albert Qin
This network shows the impact of papers produced by Albert Qin. 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 Albert Qin. The network helps show where Albert Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Qin, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 24 | |
| 2 | 2021 | 21 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 19 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 18 | |
| 7 | 2009 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2007 | 14 | |
| 13 | 2009 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2009 | 9 | |
| 16 | Clinical experience of IMGN901 (BB-10901) in patients with small cell lung carcinoma (SCLC) | 2009 | 8 |
| 17 | 2024 | 8 | |
| 18 | 2008 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2021 | 6 |
About Albert Qin
Albert Qin is a scholar working on Genetics, Rheumatology, Hematology, Oncology and Molecular Biology, having authored 52 papers that have together received 340 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (25 papers), Eosinophilic Disorders and Syndromes (14 papers), Chronic Myeloid Leukemia Treatments (8 papers), Kruppel-like factors research (5 papers), Acute Myeloid Leukemia Research (5 papers), Cancer Treatment and Pharmacology (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Genetics (157 citations), Hematology (87 citations), Rheumatology (89 citations), Hepatology (41 citations) and Oncology (89 citations). Albert Qin has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Yi‐Wen Huang, Pei‐Jer Chen, Oleh Zagrijtschuk, Raymond Urbanski, James J. O’Leary, Norio Komatsu, Ching‐Leou Teng, Chao‐Wei Hsu, Toshiaki Sato and Rong‐Nan Chien. Their work appears in journals such as Blood, Journal of Clinical Oncology, International Journal of Hematology, Advances in Therapy and Future Oncology.
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.