Sascha A. Tuchman
- Hematology top 2%
- Multiple Myeloma Research and Treatments 51
- Acute Myeloid Leukemia Research 6
- Geriatrics and Gerontology top 5%
- Oncology top 10%
- Cancer Treatment and Pharmacology 12
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 8
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
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- Protein Degradation and Inhibitors 17
- Amyloidosis: Diagnosis, Treatment, Outcomes 13
- Histone Deacetylase Inhibitors Research 6
- Co-authors
- Tanya M. WildesMark A. FialaShakira J. GrantAshley RoskoAnil PottiChaitanya R. AcharyaCristina GasparettoEben I. Lichtman
- Journals
- Proceedings of the National Academy of Sciences (1 paper)JAMA (1 paper)Journal of Clinical Oncology (17 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Sascha A. Tuchman
73 papers receiving 938 citations
Peers
Comparison fields: 5 of 77
- Hematology 605
- Geriatrics and Gerontology 64
- Oncology 436
- Genetics 98
- Molecular Biology 506
Countries citing papers authored by Sascha A. Tuchman
This map shows the geographic impact of Sascha A. Tuchman'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 Sascha A. Tuchman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha A. Tuchman more than expected).
Fields of papers citing papers by Sascha A. Tuchman
This network shows the impact of papers produced by Sascha A. Tuchman. 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 Sascha A. Tuchman. The network helps show where Sascha A. Tuchman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sascha A. Tuchman, 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 | 2024 | 1 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 41 | |
| 12 | 2019 | 23 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 26 | |
| 16 | 2016 | 3 | |
| 17 | 2015 | 6 | |
| 18 | 2014 | 19 | |
| 19 | 2014 | 13 | |
| 20 | 2005 | 9 |
About Sascha A. Tuchman
Sascha A. Tuchman is a scholar working on Hematology, Genetics and Geriatrics and Gerontology, having authored 77 papers that have together received 955 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (51 papers), Protein Degradation and Inhibitors (17 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (13 papers), Cancer Treatment and Pharmacology (12 papers), Chronic Lymphocytic Leukemia Research (8 papers), Histone Deacetylase Inhibitors Research (6 papers), Acute Myeloid Leukemia Research (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (605 citations), Geriatrics and Gerontology (64 citations) and Oncology (436 citations). Sascha A. Tuchman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Tanya M. Wildes, Mark A. Fiala, Shakira J. Grant, Ashley Rosko, Anil Potti, Chaitanya R. Acharya, Cristina Gasparetto, Eben I. Lichtman, Ravi Vij and William A. Wood. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical 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.