Khoan Vu
Impact in
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- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
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- Cutaneous lymphoproliferative disorders research
Papers in
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- Acute Myeloid Leukemia Research 4
- Hematopoietic Stem Cell Transplantation 4
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- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Weiyun Z. Ai (3 shared papers)Barbara L. Schneider (1 shared paper)Larry Reitzer (1 shared paper)Matthew J. Frank (1 shared paper)Andrew D. Leavitt (1 shared paper)Charalambos Andreadis (2 shared papers)Peter Westervelt (3 shared papers)Todd A. Fehniger (2 shared papers)
- Journals
- Blood (3 papers)Biology of Blood and Marrow Transplantation (2 papers)Arthritis Care & Research (2 papers)Molecular Microbiology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United States
In The Last Decade
Khoan Vu
14 papers receiving 166 citations
Peers
Comparison fields: 5 of 46
- Hematology 45
- Dermatology 20
- Pathology and Forensic Medicine 39
- Oncology 55
- Immunology 34
Countries citing papers authored by Khoan Vu
This map shows the geographic impact of Khoan Vu'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 Khoan Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khoan Vu more than expected).
Fields of papers citing papers by Khoan Vu
This network shows the impact of papers produced by Khoan Vu. 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 Khoan Vu. The network helps show where Khoan Vu may publish in the future.
Co-authors
The 25 scholars most cited alongside Khoan Vu, 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 | 2019 | 33 | |
| 2 | 2017 | 30 | |
| 3 | 2014 | 30 | |
| 4 | 2018 | 18 | |
| 5 | 2019 | 16 | |
| 6 | 2022 | 10 | |
| 7 | 2015 | 8 | |
| 8 | 2018 | 8 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 3 | |
| 11 | 2018 | 2 | |
| 12 | 2014 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2022 | 0 | |
| 16 | 2019 | 0 |
About Khoan Vu
Khoan Vu is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Dermatology and Epidemiology, having authored 16 papers that have together received 166 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Lymphoblastic Leukemia research (2 papers), CAR-T cell therapy research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). The work is most often cited by research in Hematology (45 citations), Dermatology (20 citations), Pathology and Forensic Medicine (39 citations), Oncology (55 citations) and Immunology (34 citations). Khoan Vu has collaborated with scholars based in United States. Frequent co-authors include Weiyun Z. Ai, Barbara L. Schneider, Larry Reitzer, Matthew J. Frank, Andrew D. Leavitt, Charalambos Andreadis, Peter Westervelt, Todd A. Fehniger, Joan How and Mark A. Schroeder. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Arthritis Care & Research, Molecular Microbiology and Clinical Cancer Research.
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.