Larysa Sanchez
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 48
- Multiple Myeloma Research and Treatments 47
- Oncology 33
- CAR-T cell therapy research 18
- Peptidase Inhibition and Analysis 8
- Co-authors
- David S. Siegel (5 shared papers)Yucai Wang (8 shared papers)Michael Wang (3 shared papers)Joshua Richter (37 shared papers)Shambavi Richard (32 shared papers)Sundar Jagannath (32 shared papers)Hearn Jay Cho (31 shared papers)Samir Parekh (32 shared papers)
- Journals
- Blood (23 papers)Journal of Clinical Oncology (8 papers)Blood Advances (3 papers)Open Forum Infectious Diseases (2 papers)Bone Marrow Transplantation (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Larysa Sanchez
58 papers receiving 597 citations
Peers
Comparison fields: 5 of 65
- Hematology 376
- Oncology 335
- Immunology 122
- Genetics 61
- Radiology, Nuclear Medicine and Imaging 118
Countries citing papers authored by Larysa Sanchez
This map shows the geographic impact of Larysa Sanchez'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 Larysa Sanchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larysa Sanchez more than expected).
Fields of papers citing papers by Larysa Sanchez
This network shows the impact of papers produced by Larysa Sanchez. 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 Larysa Sanchez. The network helps show where Larysa Sanchez may publish in the future.
Co-authors
The 25 scholars most cited alongside Larysa Sanchez, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 123 | |
| 2 | 2021 | 70 | |
| 3 | 2023 | 56 | |
| 4 | 2016 | 43 | |
| 5 | 2021 | 29 | |
| 6 | 2022 | 26 | |
| 7 | 2017 | 23 | |
| 8 | 2018 | 22 | |
| 9 | 2022 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2021 | 13 | |
| 12 | 2025 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2021 | 7 |
About Larysa Sanchez
Larysa Sanchez is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 606 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (47 papers), CAR-T cell therapy research (18 papers), Protein Degradation and Inhibitors (15 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Peptidase Inhibition and Analysis (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Biosimilars and Bioanalytical Methods (5 papers). The work is most often cited by research in Hematology (376 citations), Oncology (335 citations), Immunology (122 citations), Genetics (61 citations) and Radiology, Nuclear Medicine and Imaging (118 citations). Larysa Sanchez has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David S. Siegel, Yucai Wang, Michael Wang, Joshua Richter, Shambavi Richard, Sundar Jagannath, Hearn Jay Cho, Samir Parekh, Ajai Chari and Deepu Madduri. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, Open Forum Infectious Diseases and Bone Marrow Transplantation.
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.