Ben A. Hall

1.1k total citations
8 papers, 847 citations indexed

About

Ben A. Hall is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Ben A. Hall has authored 8 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Ben A. Hall's work include Estrogen and related hormone effects (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Diabetes Management and Research (1 paper). Ben A. Hall is often cited by papers focused on Estrogen and related hormone effects (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Diabetes Management and Research (1 paper). Ben A. Hall collaborates with scholars based in United States, United Kingdom and Italy. Ben A. Hall's co-authors include Suzanne D. Conzen, Maxwell N. Skor, Christopher J. Rhodes, Aliya N. Husain, Patrick C. Moore, Mei Li, Brigid Gregg, Mark A. Atkinson, Damien Demozay and Amy Wright and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Cancer Cell.

In The Last Decade

Ben A. Hall

7 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben A. Hall United States 7 320 253 241 169 157 8 847
Ichiro Horie Japan 18 219 0.7× 190 0.8× 194 0.8× 334 2.0× 102 0.6× 63 876
David Vallois France 10 243 0.8× 234 0.9× 161 0.7× 139 0.8× 153 1.0× 14 727
Julián R. Reguero Spain 23 569 1.8× 141 0.6× 279 1.2× 130 0.8× 120 0.8× 52 1.4k
Kyu Yong Cho Japan 15 242 0.8× 215 0.8× 83 0.3× 403 2.4× 158 1.0× 79 834
Marco R. Schroeter Germany 14 226 0.7× 139 0.5× 78 0.3× 94 0.6× 158 1.0× 24 752
Sanda Ljubicic Switzerland 10 290 0.9× 256 1.0× 117 0.5× 177 1.0× 152 1.0× 12 730
P. Parini Sweden 9 202 0.6× 124 0.5× 155 0.6× 151 0.9× 315 2.0× 14 816
Lance A. Stechschulte United States 17 481 1.5× 79 0.3× 137 0.6× 193 1.1× 187 1.2× 18 956
Rohit B. Sharma United States 17 491 1.5× 472 1.9× 335 1.4× 198 1.2× 121 0.8× 33 1.0k
Angela Koh Canada 10 545 1.7× 562 2.2× 349 1.4× 290 1.7× 112 0.7× 20 1.3k

Countries citing papers authored by Ben A. Hall

Since Specialization
Citations

This map shows the geographic impact of Ben A. Hall'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 Ben A. Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben A. Hall more than expected).

Fields of papers citing papers by Ben A. Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben A. Hall. 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 Ben A. Hall. The network helps show where Ben A. Hall may publish in the future.

Co-authorship network of co-authors of Ben A. Hall

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

All Works

8 of 8 papers shown
1.
Schoenfelt, Kelly Q., Valéria C. Barbosa-Lorenzi, Eduard Peris, et al.. (2017). Metabolically Activated Adipose Tissue Macrophages Perform Detrimental and Beneficial Functions during Diet-Induced Obesity. Cell Reports. 20(13). 3149–3161. 216 indexed citations
2.
Rikova, Klarisa, Ben A. Hall, Tyler Levy, et al.. (2016). Abstract LB-067: Proteomic analysis identifies multi-dimensional deregulated signaling pathways in SCLC lung cancer. Cancer Research. 76(14_Supplement). LB–67.
3.
Costa, Carlotta, Hiromichi Ebi, Miriam Martini, et al.. (2014). Measurement of PIP3 Levels Reveals an Unexpected Role for p110β in Early Adaptive Responses to p110α-Specific Inhibitors in Luminal Breast Cancer. Cancer Cell. 27(1). 97–108. 142 indexed citations
4.
Skor, Maxwell N., Masha Kocherginsky, Anju Goyal, et al.. (2013). Glucocorticoid Receptor Antagonism as a Novel Therapy for Triple-Negative Breast Cancer. Clinical Cancer Research. 19(22). 6163–6172. 152 indexed citations
5.
Brickley, Deanna R., Abena S. Agyeman, Richard F. Kopp, et al.. (2013). Serum- and Glucocorticoid-induced Protein Kinase 1 (SGK1) Is Regulated by Store-operated Ca2+ Entry and Mediates Cytoprotection against Necrotic Cell Death. Journal of Biological Chemistry. 288(45). 32708–32719. 13 indexed citations
6.
Hall, Ben A., Tae Yeon Kim, Maxwell N. Skor, & Suzanne D. Conzen. (2012). Serum and glucocorticoid-regulated kinase 1 (SGK1) activation in breast cancer: requirement for mTORC1 activity associates with ER-alpha expression. Breast Cancer Research and Treatment. 135(2). 469–479. 39 indexed citations
7.
Gregg, Brigid, Patrick C. Moore, Damien Demozay, et al.. (2012). Formation of a Human β-Cell Population within Pancreatic Islets Is Set Early in Life. The Journal of Clinical Endocrinology & Metabolism. 97(9). 3197–3206. 273 indexed citations
8.
McMorris, Terry, Steve Myers, T Dobbins, Ben A. Hall, & Rosemary Dyson. (2009). Seating Type and Cognitive Performance After 3 Hours Travel by High-Speed Boat in Sea States 2-3. Aviation Space and Environmental Medicine. 80(1). 24–28. 12 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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