Siddhartha Jaiswal
- Immunology top 0.5%
- Hematology top 0.2%
- Molecular Biology top 5%
- Genetics top 0.5%
- Oncology top 2%
- Co-authors
- Benjamin L. EbertIrving L. WeissmanMark P. ChaoRavindra MajetiWendy W. PangNico van RooijenAsh A. AlizadehDavid P. Steensma
- Topics
- Acute Myeloid Leukemia Research (37 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (22 papers)Cancer Genomics and Diagnostics (17 papers)
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Siddhartha Jaiswal
53 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 3.0k
- Hematology 2.8k
- Molecular Biology 2.1k
- Genetics 1.6k
- Oncology 1.4k
Countries citing papers authored by Siddhartha Jaiswal
This map shows the geographic impact of Siddhartha Jaiswal'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 Siddhartha Jaiswal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siddhartha Jaiswal more than expected).
Fields of papers citing papers by Siddhartha Jaiswal
This network shows the impact of papers produced by Siddhartha Jaiswal. 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 Siddhartha Jaiswal. The network helps show where Siddhartha Jaiswal may publish in the future.
Co-authorship network of co-authors of Siddhartha Jaiswal
This figure shows the co-authorship network connecting the top 25 collaborators of Siddhartha Jaiswal. A scholar is included among the top collaborators of Siddhartha Jaiswal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Siddhartha Jaiswal. Siddhartha Jaiswal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 74 | |
| 6 | 1 | |
| 7 | Clonal Hematopoiesis of Indeterminate Potential Predicts Adverse Outcomes in Patients With Atherosclerotic Cardiovascular Diseasebreakdown → | 83 |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 4 | |
| 13 | 235 | |
| 14 | 47 | |
| 15 | 155 | |
| 16 | 56 | |
| 17 | 200 | |
| 18 | CD47 Is Upregulated on Circulating Hematopoietic Stem Cells and Leukemia Cells to Avoid Phagocytosisbreakdown → | 1210 |
| 19 | CD47 Is an Adverse Prognostic Factor and Therapeutic Antibody Target on Human Acute Myeloid Leukemia Stem Cellsbreakdown → | 1340 |
| 20 | 18 |
About Siddhartha Jaiswal
Siddhartha Jaiswal is a scholar working on Hematology, Genetics and Cancer Research, having authored 54 papers that have together received 6.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (37 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (22 papers) and Cancer Genomics and Diagnostics (17 papers). The work is most often cited by research in Hematology (2.8k citations), Genetics (1.6k citations) and Immunology (3.0k citations). Siddhartha Jaiswal has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Benjamin L. Ebert, Irving L. Weissman, Mark P. Chao, Ravindra Majeti, Wendy W. Pang, Nico van Rooijen, Ash A. Alizadeh, David P. Steensma, R. Coleman Lindsley and Christopher Y. Park. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.