Andrew Bantly

740 total citations
19 papers, 538 citations indexed

About

Andrew Bantly is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Andrew Bantly has authored 19 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Hematology. Recurrent topics in Andrew Bantly's work include Single-cell and spatial transcriptomics (6 papers), Angiogenesis and VEGF in Cancer (6 papers) and Acute Myeloid Leukemia Research (3 papers). Andrew Bantly is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Angiogenesis and VEGF in Cancer (6 papers) and Acute Myeloid Leukemia Research (3 papers). Andrew Bantly collaborates with scholars based in United States, Norway and France. Andrew Bantly's co-authors include Jonni S. Moore, Priscilla A. Schaffer, Luis M. Schang, Emile R. Mohler, Arash Arshi, Laurent Meijer, Farida Shaheen, Marie Knockaert, Michael H. Malim and Nathanael S. Gray and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of Virology.

In The Last Decade

Andrew Bantly

19 papers receiving 519 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Bantly United States 13 294 146 103 87 82 19 538
Asuka Inoue Japan 17 169 0.6× 147 1.0× 331 3.2× 65 0.7× 67 0.8× 41 691
Constantinos Georganas United States 9 301 1.0× 104 0.7× 281 2.7× 76 0.9× 76 0.9× 9 682
Yongxin Ru China 13 163 0.6× 55 0.4× 136 1.3× 122 1.4× 86 1.0× 41 448
Tzu‐Hung Hsiao Taiwan 12 191 0.6× 72 0.5× 52 0.5× 54 0.6× 51 0.6× 76 468
Samantha Smith United States 18 221 0.8× 107 0.7× 225 2.2× 111 1.3× 156 1.9× 36 792
Rachael L. Philips United States 7 208 0.7× 173 1.2× 241 2.3× 46 0.5× 39 0.5× 11 581
Roberto González‐Amaro Mexico 14 214 0.7× 109 0.7× 339 3.3× 86 1.0× 47 0.6× 21 785
С. В. Лапин Russia 13 130 0.4× 76 0.5× 144 1.4× 108 1.2× 50 0.6× 139 678
Fionnuala B. Hickey Ireland 14 252 0.9× 55 0.4× 186 1.8× 44 0.5× 47 0.6× 23 597
Carlo Moll Switzerland 7 272 0.9× 121 0.8× 141 1.4× 38 0.4× 112 1.4× 10 515

Countries citing papers authored by Andrew Bantly

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andrew Bantly

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Bantly. A scholar is included among the top collaborators of Andrew Bantly 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 Andrew Bantly. Andrew Bantly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhang, Lifeng, Benjamin French, Rebecca Jonas, et al.. (2013). Personalized cytomic assessment of vascular health: Evaluation of the vascular health profile in diabetes mellitus. Cytometry Part B Clinical Cytometry. 84B(4). 255–266. 28 indexed citations
2.
Tario, Joseph D., et al.. (2012). Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes. Journal of Visualized Experiments. e4287–e4287. 35 indexed citations
3.
Tario, Joseph D., et al.. (2012). Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes. Journal of Visualized Experiments. 5 indexed citations
4.
Mohler, Emile R., Zuo‐Feng Zhang, Wade T. Rogers, et al.. (2011). Effect of darbepoetin alfa on endothelial progenitor cells and vascular reactivity in chronic kidney disease. Vascular Medicine. 16(3). 183–189. 10 indexed citations
5.
Mohler, Emile R., Yuquan Shi, Jonni S. Moore, et al.. (2009). Diabetes reduces bone marrow and circulating porcine endothelial progenitor cells, an effect ameliorated by atorvastatin and independent of cholesterol. PMC. 2 indexed citations
6.
Mohler, Emile R., Yuquan Shi, Jonni S. Moore, et al.. (2008). Diabetes reduces bone marrow and circulating porcine endothelial progenitor cells, an effect ameliorated by atorvastatin and independent of cholesterol. Cytometry Part A. 75A(1). 75–82. 30 indexed citations
7.
Robinson, Blaine W., Kathryn C. Behling, Manish Gupta, et al.. (2008). Abundant anti‐apoptotic BCL‐2 is a molecular target in leukaemias with t(4;11) translocation. British Journal of Haematology. 141(6). 827–839. 33 indexed citations
8.
Rogers, Wade T., et al.. (2008). Cytometric fingerprinting: Quantitative characterization of multivariate distributions. Cytometry Part A. 73A(5). 430–441. 31 indexed citations
9.
Bantly, Andrew, Brian D. Gray, Erica G. Weinstein, et al.. (2007). CellVue® Claret, a New Far-Red Dye, Facilitates Polychromatic Assessment of Immune Cell Proliferation. Immunological Investigations. 36(5-6). 581–605. 15 indexed citations
10.
11.
Arshi, Arash, et al.. (2006). Effect of acute exercise on endothelial progenitor cells in patients with peripheral arterial disease. Vascular Medicine. 11(4). 219–226. 40 indexed citations
12.
Cherian, Sindhu, Jonni S. Moore, Andrew Bantly, et al.. (2005). Peripheral blood MDS score: A new flow cytometric tool for the diagnosis of myelodysplastic syndromes. Cytometry Part B Clinical Cytometry. 64B(1). 9–17. 52 indexed citations
13.
Cherian, Sindhu, Jonni S. Moore, Andrew Bantly, et al.. (2005). Flow‐cytometric analysis of peripheral blood neutrophils: A simple, objective, independent and potentially clinically useful assay to facilitate the diagnosis of myelodysplastic syndromes. American Journal of Hematology. 79(3). 243–245. 12 indexed citations
14.
Robinson, Blaine W., Jeffrey S. Barrett, Jonni S. Moore, et al.. (2005). Pre-Clinical In Vitro Evaluation of BCL-2 Antisense Compound GenasenseTM (G3139; Genta, Inc.) as a Targeted Pro-Apoptotic Agent for Leukemias with t(4;11)(q21;q23) Translocations.. Blood. 106(11). 3360–3360. 2 indexed citations
15.
16.
Stieber, Anna, Jacqueline O. Gonatas, JS Moore, et al.. (2004). Disruption of the structure of the Golgi apparatus and the function of the secretory pathway by mutants G93A and G85R of Cu, Zn superoxide dismutase (SOD1) of familial amyotrophic lateral sclerosis. Journal of the Neurological Sciences. 219(1-2). 45–53. 34 indexed citations
17.
Schang, Luis M., Andrew Bantly, & Priscilla A. Schaffer. (2002). Explant-Induced Reactivation of Herpes Simplex Virus Occurs in Neurons Expressing Nuclear cdk2 and cdk4. Journal of Virology. 76(15). 7724–7735. 42 indexed citations
18.
19.
Schang, Luis M., Brian David Dynlacht, David W. Speicher, et al.. (2000). Human PC4 Is a Substrate-specific Inhibitor of RNA Polymerase II Phosphorylation. Journal of Biological Chemistry. 275(9). 6071–6074. 21 indexed citations

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.

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