Ames C. Register

563 total citations
10 papers, 278 citations indexed

About

Ames C. Register is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Ames C. Register has authored 10 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Ames C. Register's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and CAR-T cell therapy research (3 papers). Ames C. Register is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and CAR-T cell therapy research (3 papers). Ames C. Register collaborates with scholars based in United States, Australia and Germany. Ames C. Register's co-authors include Dustin J. Maly, Stephen E. Leonard, S. Armando Villalta, Wendy Rosenthal, Morvarid Mehdizadeh, Hannah C. Feldman, Jeffrey A. Bluestone, Bradley J. Backes, Feroz R. Papa and Shuhei Morita and has published in prestigious journals such as Molecular Cell, Biochemistry and Cell Metabolism.

In The Last Decade

Ames C. Register

10 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ames C. Register United States 8 146 95 60 46 44 10 278
Matheus Henrique Dias Brazil 11 198 1.4× 74 0.8× 20 0.3× 31 0.7× 25 0.6× 23 318
Sepideh Vahid Canada 8 287 2.0× 61 0.6× 13 0.2× 23 0.5× 45 1.0× 16 470
Yukiyoshi Hirayama Japan 10 123 0.8× 50 0.5× 32 0.5× 9 0.2× 25 0.6× 21 321
Joshua W. Goldman United States 6 275 1.9× 52 0.5× 29 0.5× 45 1.0× 35 0.8× 9 360
Tomoko Ueda Japan 9 167 1.1× 76 0.8× 32 0.5× 21 0.5× 16 0.4× 23 310
Lisa Cherry United States 9 174 1.2× 35 0.4× 32 0.5× 59 1.3× 10 0.2× 11 326
Laia Muixí Spain 8 84 0.6× 19 0.2× 30 0.5× 18 0.4× 28 0.6× 11 191
Anjum Riaz Sweden 6 268 1.8× 91 1.0× 23 0.4× 19 0.4× 29 0.7× 8 355
Linda Chee United States 7 266 1.8× 30 0.3× 21 0.3× 19 0.4× 28 0.6× 13 342
Mingxue Geng Germany 5 216 1.5× 26 0.3× 24 0.4× 25 0.5× 27 0.6× 8 322

Countries citing papers authored by Ames C. Register

Since Specialization
Citations

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

Fields of papers citing papers by Ames C. Register

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ames C. Register. 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 Ames C. Register. The network helps show where Ames C. Register may publish in the future.

Co-authorship network of co-authors of Ames C. Register

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

All Works

10 of 10 papers shown
2.
Register, Ames C., Somayeh S. Tarighat, & Ho‐Young Lee. (2021). Bioassay Development for Bispecific Antibodies—Challenges and Opportunities. International Journal of Molecular Sciences. 22(10). 5350–5350. 15 indexed citations
3.
Fang, Linglan, Sujata Chakraborty, Zachary E. Potter, et al.. (2020). How ATP-Competitive Inhibitors Allosterically Modulate Tyrosine Kinases That Contain a Src-like Regulatory Architecture. ACS Chemical Biology. 15(7). 2005–2016. 18 indexed citations
4.
Lee, Ho‐Young, Ames C. Register, Kathleen Abadie, et al.. (2019). Development of a bioassay to detect T-cell-activating impurities for T-cell-dependent bispecific antibodies. Scientific Reports. 9(1). 3900–3900. 12 indexed citations
5.
Ahler, Ethan, Ames C. Register, Sujata Chakraborty, et al.. (2019). A Combined Approach Reveals a Regulatory Mechanism Coupling Src’s Kinase Activity, Localization, and Phosphotransferase-Independent Functions. Molecular Cell. 74(2). 393–408.e20. 38 indexed citations
6.
Lee, Ho‐Young, et al.. (2019). Characterization of a single reporter-gene potency assay for T-cell-dependent bispecific molecules. mAbs. 11(7). 1245–1253. 10 indexed citations
7.
Morita, Shuhei, S. Armando Villalta, Hannah C. Feldman, et al.. (2017). Targeting ABL-IRE1α Signaling Spares ER-Stressed Pancreatic β Cells to Reverse Autoimmune Diabetes. Cell Metabolism. 25(4). 883–897.e8. 139 indexed citations
8.
Register, Ames C., Sujata Chakraborty, & Dustin J. Maly. (2017). Allosteric Modulation of Src Family Kinases with ATP-Competitive Inhibitors. Methods in molecular biology. 1636. 79–89. 3 indexed citations
9.
Register, Ames C., Stephen E. Leonard, & Dustin J. Maly. (2014). SH2-Catalytic Domain Linker Heterogeneity Influences Allosteric Coupling across the SFK Family. Biochemistry. 53(44). 6910–6923. 19 indexed citations
10.
Leonard, Stephen E., et al.. (2014). Divergent Modulation of Src-Family Kinase Regulatory Interactions with ATP-Competitive Inhibitors. ACS Chemical Biology. 9(8). 1894–1905. 22 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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