Vivian G. Oehler
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments 53
- Acute Myeloid Leukemia Research 36
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 34
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Health Informatics top 5%
- Cancer Research top 10%
- Rheumatology top 5%
- Eosinophilic Disorders and Syndromes 14
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- Acute Lymphoblastic Leukemia research 19
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- Lymphoma Diagnosis and Treatment 13
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- CAR-T cell therapy research 7
- Co-authors
- Jerald P. RadichCheryl L. WillmanWendy StockStephen FriendMao MaoNeil P. ShahHongyue DaiBrian Druker
- Cited by
- HematologyGeneticsHealth Informatics
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Vivian G. Oehler
96 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Hematology 1.3k
- Genetics 691
- Health Informatics 36
- Cancer Research 287
- Rheumatology 278
Countries citing papers authored by Vivian G. Oehler
This map shows the geographic impact of Vivian G. Oehler'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 Vivian G. Oehler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivian G. Oehler more than expected).
Fields of papers citing papers by Vivian G. Oehler
This network shows the impact of papers produced by Vivian G. Oehler. 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 Vivian G. Oehler. The network helps show where Vivian G. Oehler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vivian G. Oehler, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 1 | |
| 12 | 2019 | 49 | |
| 13 | 2018 | 86 | |
| 14 | 2017 | 192 | |
| 15 | 2016 | 6 | |
| 16 | 2015 | 96 | |
| 17 | 2015 | 97 | |
| 18 | Hypercalcemia in Clear Cell Sarcoma | 2014 | 1 |
| 19 | 2010 | 272 | |
| 20 | 2005 | 43 |
About Vivian G. Oehler
Vivian G. Oehler is a scholar working on Hematology, Genetics and Rheumatology, having authored 102 papers that have together received 2.5k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (53 papers), Acute Myeloid Leukemia Research (36 papers), Chronic Lymphocytic Leukemia Research (34 papers), Acute Lymphoblastic Leukemia research (19 papers), Eosinophilic Disorders and Syndromes (14 papers), Lymphoma Diagnosis and Treatment (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (691 citations) and Health Informatics (36 citations). Vivian G. Oehler has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jerald P. Radich, Cheryl L. Willman, Wendy Stock, Stephen Friend, Mao Mao, Neil P. Shah, Hongyue Dai, Brian Druker, Peter S. Linsley and Charles L. Sawyers. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.