Andrew Bantly
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Single-cell and spatial transcriptomics 6
- Angiogenesis and VEGF in Cancer 6
- Oncology 5
- Lymphatic System and Diseases 3
- Co-authors
- Jonni S. Moore (14 shared papers)Priscilla A. Schaffer (3 shared papers)Luis M. Schang (3 shared papers)Emile R. Mohler (7 shared papers)Arash Arshi (2 shared papers)Marie Knockaert (1 shared paper)Laurent Meijer (1 shared paper)Michael H. Malim (1 shared paper)
- Journals
- Cytometry Part B Clinical Cytometry (3 papers)Journal of Virology (2 papers)Blood (2 papers)Vascular Medicine (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesNorwayFrance
In The Last Decade
Andrew Bantly
19 papers receiving 519 citations
Peers
Comparison fields: 5 of 73
- Hematology 87
- Genetics 59
- Oncology 146
- Virology 24
- Immunology 103
Countries citing papers authored by Andrew Bantly
This map shows the geographic impact of Andrew Bantly'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 Andrew Bantly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Bantly more than expected).
Fields of papers citing papers by Andrew Bantly
This network shows the impact of papers produced by Andrew Bantly. 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 Andrew Bantly. The network helps show where Andrew Bantly may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Bantly, 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 | 2002 | 91 | |
| 2 | 2006 | 54 | |
| 3 | 2005 | 52 | |
| 4 | 2002 | 42 | |
| 5 | 2006 | 40 | |
| 6 | 2012 | 35 | |
| 7 | 2004 | 34 | |
| 8 | 2008 | 33 | |
| 9 | 2008 | 31 | |
| 10 | 2008 | 30 | |
| 11 | 2013 | 28 | |
| 12 | 2000 | 21 | |
| 13 | 2007 | 15 | |
| 14 | 2005 | 12 | |
| 15 | 2011 | 10 | |
| 16 | 2012 | 5 | |
| 17 | Diabetes reduces bone marrow and circulating porcine endothelial progenitor cells, an effect ameliorated by atorvastatin and independent of cholesterol | 2009 | 2 |
| 18 | 2005 | 2 | |
| 19 | 2005 | 1 |
About Andrew Bantly
Andrew Bantly is a scholar working on Molecular Biology, Oncology, Hematology, Cardiology and Cardiovascular Medicine and Biophysics, having authored 19 papers that have together received 538 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Cell Image Analysis Techniques (3 papers), Lymphatic System and Diseases (3 papers), Acute Myeloid Leukemia Research (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Hematological disorders and diagnostics (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Hematology (87 citations), Genetics (59 citations), Oncology (146 citations), Virology (24 citations) and Immunology (103 citations). Andrew Bantly has collaborated with scholars based in United States, Norway and France. Frequent co-authors include Jonni S. Moore, Priscilla A. Schaffer, Luis M. Schang, Emile R. Mohler, Arash Arshi, Marie Knockaert, Laurent Meijer, Michael H. Malim, Farida Shaheen and Nathanael S. Gray. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Journal of Virology, Blood, Vascular Medicine and Journal of Visualized Experiments.
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.