Sheetal Shah
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
Papers in
- Hematology 12
- Multiple Myeloma Research and Treatments 7
- Acute Myeloid Leukemia Research 5
-
- Protein Degradation and Inhibitors 6
- Ubiquitin and proteasome pathways 3
- Co-authors
- Patricia E. Kuwabara (1 shared paper)Paul G. Richardson (5 shared papers)Ajay K. Nooka (4 shared papers)Jacob P. Laubach (4 shared papers)Kenneth C. Anderson (5 shared papers)Craig C. Hofmeister (6 shared papers)Yvonne A. Efebera (4 shared papers)Jacalyn Rosenblatt (4 shared papers)
- Journals
- Blood (8 papers)Journal of Clinical Oncology (4 papers)Nucleic Acids Research (1 paper)Pest Management Science (1 paper)Leukemia & lymphoma (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Sheetal Shah
14 papers receiving 146 citations
Peers
Comparison fields: 5 of 36
- Aging 41
- Hematology 70
- Genetics 23
- Oncology 33
- Molecular Biology 86
Countries citing papers authored by Sheetal Shah
This map shows the geographic impact of Sheetal Shah'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 Sheetal Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheetal Shah more than expected).
Fields of papers citing papers by Sheetal Shah
This network shows the impact of papers produced by Sheetal Shah. 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 Sheetal Shah. The network helps show where Sheetal Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheetal Shah, 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 | 1994 | 56 | |
| 2 | 2013 | 17 | |
| 3 | 2011 | 14 | |
| 4 | 2015 | 11 | |
| 5 | 2013 | 9 | |
| 6 | 2008 | 7 | |
| 7 | 2013 | 7 | |
| 8 | 2012 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2014 | 5 | |
| 12 | 2016 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2018 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2024 | 0 |
About Sheetal Shah
Sheetal Shah is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Epidemiology, having authored 17 papers that have together received 150 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (6 papers), Acute Myeloid Leukemia Research (5 papers), Hemoglobinopathies and Related Disorders (4 papers), Ubiquitin and proteasome pathways (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Aging (41 citations), Hematology (70 citations), Genetics (23 citations), Oncology (33 citations) and Molecular Biology (86 citations). Sheetal Shah has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Patricia E. Kuwabara, Paul G. Richardson, Ajay K. Nooka, Jacob P. Laubach, Kenneth C. Anderson, Craig C. Hofmeister, Yvonne A. Efebera, Jacalyn Rosenblatt, Noopur Raje and David S. Siegel. Their work appears in journals such as Blood, Journal of Clinical Oncology, Nucleic Acids Research, Pest Management Science and Leukemia & lymphoma.
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.