Albert Qin
Impact in
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Rheumatology top 10%
- Eosinophilic Disorders and Syndromes
Papers in
- Genetics 22
- Myeloproliferative Neoplasms: Diagnosis and Treatment 22
- Rheumatology 21
- Eosinophilic Disorders and Syndromes 16
- Systemic Lupus Erythematosus Research 5
- Co-authors
- Yi‐Wen Huang (9 shared papers)Pei‐Jer Chen (5 shared papers)Oleh Zagrijtschuk (12 shared papers)James J. O’Leary (5 shared papers)Raymond Urbanski (5 shared papers)Rong‐Nan Chien (3 shared papers)Chao‐Wei Hsu (3 shared papers)Norio Komatsu (12 shared papers)
- Journals
- Blood (5 papers)Journal of Clinical Oncology (5 papers)Future Oncology (3 papers)Advances in Therapy (3 papers)International Journal of Hematology (3 papers)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Albert Qin
42 papers receiving 295 citations
Peers
Comparison fields: 5 of 37
- Genetics 139
- Rheumatology 122
- Hematology 82
- Hepatology 56
- Oncology 98
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 23 | |
| 2 | 2021 | 20 | |
| 3 | 2022 | 18 | |
| 4 | 2021 | 18 | |
| 5 | 2009 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2007 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2009 | 13 | |
| 14 | 2023 | 11 | |
| 15 | 2009 | 9 | |
| 16 | Clinical experience of IMGN901 (BB-10901) in patients with small cell lung carcinoma (SCLC) | 2009 | 8 |
| 17 | 2008 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 6 |
About Albert Qin
Albert Qin is a scholar working on Genetics, Rheumatology, Oncology, Hematology and Molecular Biology, having authored 48 papers that have together received 319 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (22 papers), Eosinophilic Disorders and Syndromes (16 papers), Hepatitis C virus research (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Cancer Treatment and Pharmacology (6 papers), Kruppel-like factors research (5 papers), Acute Myeloid Leukemia Research (5 papers) and Systemic Lupus Erythematosus Research (5 papers). The work is most often cited by research in Genetics (139 citations), Rheumatology (122 citations), Hematology (82 citations), Hepatology (56 citations) and Oncology (98 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, James J. O’Leary, Raymond Urbanski, Rong‐Nan Chien, Chao‐Wei Hsu, Norio Komatsu, Toshiaki Sato and John Mascarenhas. Their work appears in journals such as Blood, Journal of Clinical Oncology, Future Oncology, Advances in Therapy and International Journal of Hematology.
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.