Abhishek Niroula
- Molecular Biology
- Hematology top 1%
- Genetics top 2%
- Genetics top 10%
- Cancer Research top 10%
- Co-authors
- Mauno VihinenSiddhaling UrolaginBenjamin L. EbertAlexander G. BickPradeep NatarajanMd Mesbah UddinGabriel K. GriffinChristopher J. Gibson
- Topics
- Acute Myeloid Leukemia Research (21 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers)Cancer Genomics and Diagnostics (10 papers)
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- SwedenUnited StatesItaly
In The Last Decade
Abhishek Niroula
45 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 653
- Hematology 640
- Genetics 462
- Genetics 320
- Cancer Research 199
Countries citing papers authored by Abhishek Niroula
This map shows the geographic impact of Abhishek Niroula'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 Abhishek Niroula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Niroula more than expected).
Fields of papers citing papers by Abhishek Niroula
This network shows the impact of papers produced by Abhishek Niroula. 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 Abhishek Niroula. The network helps show where Abhishek Niroula may publish in the future.
Co-authorship network of co-authors of Abhishek Niroula
This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Niroula. A scholar is included among the top collaborators of Abhishek Niroula 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 Abhishek Niroula. Abhishek Niroula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | Clonal Hematopoiesis of Indeterminate Potential With Loss of Tet2 Enhances Risk for Atrial Fibrillation Through Nlrp3 Inflammasome Activationbreakdown → | 35 |
| 6 | 5 | |
| 7 | 16 | |
| 8 | Colchicine prevents accelerated atherosclerosis in TET2-mutant clonal haematopoiesisbreakdown → | 36 |
| 9 | 74 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | Clonal Hematopoiesis of Indeterminate Potential Predicts Adverse Outcomes in Patients With Atherosclerotic Cardiovascular Diseasebreakdown → | 83 |
| 13 | 4 | |
| 14 | Distinction of lymphoid and myeloid clonal hematopoiesisbreakdown → | 161 |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 96 | |
| 18 | 18 | |
| 19 | 14 | |
| 20 | 40 |
About Abhishek Niroula
Abhishek Niroula is a scholar working on Hematology, Genetics and Cancer Research, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers) and Cancer Genomics and Diagnostics (10 papers). The work is most often cited by research in Hematology (640 citations), Genetics (462 citations) and Cancer Research (199 citations). Abhishek Niroula has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Mauno Vihinen, Siddhaling Urolagin, Benjamin L. Ebert, Alexander G. Bick, Pradeep Natarajan, Md Mesbah Uddin, Gabriel K. Griffin, Christopher J. Gibson, Michael C. Honigberg and Seyedeh M. Zekavat. Their work appears in journals such as Nucleic Acids Research, Circulation and Nature Medicine.
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.