Brian D. Hamman

3.7k total citations · 2 hit papers
18 papers, 2.5k citations indexed

About

Brian D. Hamman is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Brian D. Hamman has authored 18 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Genetics. Recurrent topics in Brian D. Hamman's work include RNA and protein synthesis mechanisms (6 papers), Protein Degradation and Inhibitors (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Brian D. Hamman is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Protein Degradation and Inhibitors (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Brian D. Hamman collaborates with scholars based in United States, Australia and Germany. Brian D. Hamman's co-authors include Arthur E. Johnson, Jing Wang, Craig M. Crews, Blake E. Smith, Saul Jaime‐Figueroa, Linda M. Hendershot, Daniel P. Bondeson, Alexandru D. Buhimschi, Alexey Ishchenko and George M. Burslem and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Brian D. Hamman

17 papers receiving 2.4k citations

Hit Papers

Lessons in PROTAC Design from Selective Degradation with ... 2017 2026 2020 2023 2017 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian D. Hamman United States 15 2.1k 576 344 343 225 18 2.5k
Bruno Catimel Australia 26 1.5k 0.7× 488 0.8× 342 1.0× 196 0.6× 126 0.6× 73 2.3k
Matthew B. Robers United States 25 2.6k 1.3× 599 1.0× 208 0.6× 191 0.6× 131 0.6× 57 3.2k
Sami Mahrus United States 19 1.5k 0.7× 586 1.0× 210 0.6× 266 0.8× 87 0.4× 29 2.3k
Carlo Petosa France 22 3.7k 1.7× 349 0.6× 383 1.1× 174 0.5× 670 3.0× 39 4.2k
Cécile Caron France 25 2.5k 1.2× 467 0.8× 203 0.6× 103 0.3× 532 2.4× 32 3.2k
Wouter A. van der Linden Netherlands 24 1.5k 0.7× 621 1.1× 234 0.7× 138 0.4× 83 0.4× 42 2.2k
Irmgard Mayr Germany 9 1.3k 0.6× 392 0.7× 208 0.6× 689 2.0× 260 1.2× 10 2.3k
Chie Kanei‐Ishii Japan 22 2.3k 1.1× 530 0.9× 204 0.6× 177 0.5× 349 1.6× 30 2.8k
Shiraz Mujtaba United States 20 2.7k 1.3× 370 0.6× 79 0.2× 310 0.9× 179 0.8× 34 3.1k
Elmar Wolf Germany 38 3.1k 1.5× 662 1.1× 332 1.0× 114 0.3× 196 0.9× 77 3.8k

Countries citing papers authored by Brian D. Hamman

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. Hamman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Hamman. 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 Brian D. Hamman. The network helps show where Brian D. Hamman may publish in the future.

Co-authorship network of co-authors of Brian D. Hamman

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

All Works

18 of 18 papers shown
1.
Smith, Blake E., Stephen L. Wang, Saul Jaime‐Figueroa, et al.. (2019). Differential PROTAC substrate specificity dictated by orientation of recruited E3 ligase. Nature Communications. 10(1). 131–131. 371 indexed citations breakdown →
2.
Bondeson, Daniel P., Blake E. Smith, George M. Burslem, et al.. (2017). Lessons in PROTAC Design from Selective Degradation with a Promiscuous Warhead. Cell chemical biology. 25(1). 78–87.e5. 636 indexed citations breakdown →
3.
Crew, Andrew P., Kanak Raina, Hanqing Dong, et al.. (2017). Identification and Characterization of Von Hippel-Lindau-Recruiting Proteolysis Targeting Chimeras (PROTACs) of TANK-Binding Kinase 1. Journal of Medicinal Chemistry. 61(2). 583–598. 195 indexed citations
4.
Goodwin, Nicole C., Giovanni Cianchetta, Ross Mabon, et al.. (2014). Discovery of a Type III Inhibitor of LIM Kinase 2 That Binds in a DFG-Out Conformation. ACS Medicinal Chemistry Letters. 6(1). 53–57. 48 indexed citations
5.
Oravecz, Tamás, Wei-Chun Chang, Kanchan G. Jhaver, et al.. (2013). OP0195 Genetic and Pharmacologic Inhibition of MST1 Blocks Lymphocyte Function and Protects Against Inflammation and Autoimmunity. Annals of the Rheumatic Diseases. 72. A118–A118.
6.
Kostich, Walter A., Samuel W. Gerritz, Yanling Huang, et al.. (2011). A High-Throughput Screen for Receptor Protein Tyrosine Phosphatase–γ Selective Inhibitors. SLAS DISCOVERY. 16(5). 476–485. 5 indexed citations
7.
Revelli, Jean‐Pierre, Jason Allen, Sabrina L. Jeter-Jones, et al.. (2010). Profound Obesity Secondary to Hyperphagia in Mice Lacking Kinase Suppressor of Ras 2. Obesity. 19(5). 1010–1018. 43 indexed citations
8.
Hu, Liaoyuan A., Tian Zhou, Brian D. Hamman, & Qingyun Liu. (2008). A Homogeneous G Protein-Coupled Receptor Ligand Binding Assay Based on Time-Resolved Fluorescence Resonance Energy Transfer. Assay and Drug Development Technologies. 6(4). 543–550. 22 indexed citations
9.
Rodems, Steven, Brian D. Hamman, Jane Zhao, et al.. (2002). A FRET-Based Assay Platform for Ultra-High Density Drug Screening of Protein Kinases and Phosphatases. Assay and Drug Development Technologies. 1(1). 9–19. 139 indexed citations
10.
Hamman, Brian D., et al.. (2002). Binding of a Pleckstrin Homology Domain Protein to Phosphoinositide in Membranes: A Miniaturized FRET-Based Assay for Drug Screening. SLAS DISCOVERY. 7(1). 45–55. 21 indexed citations
11.
Hamman, Brian D., Linda M. Hendershot, & Arthur E. Johnson. (1998). BiP Maintains the Permeability Barrier of the ER Membrane by Sealing the Lumenal End of the Translocon Pore before and Early in Translocation. Cell. 92(6). 747–758. 337 indexed citations
14.
Hamman, Brian D., et al.. (1996). Tetramethylrhodamine Dimer Formation as a Spectroscopic Probe of the Conformation of Escherichia coli Ribosomal Protein L7/L12 Dimers. Journal of Biological Chemistry. 271(13). 7568–7573. 51 indexed citations
15.
Hamman, Brian D., et al.. (1996). Rotational and Conformational Dynamics of Escherichia coli Ribosomal Protein L7/L12. Biochemistry. 35(51). 16672–16679. 37 indexed citations
16.
Hamman, Brian D., et al.. (1996). Dimer/Monomer Equilibrium and Domain Separations of Escherichia coli Ribosomal Protein L7/L12. Biochemistry. 35(51). 16680–16686. 35 indexed citations
17.
Traut, Robert R., et al.. (1995). Location and domain structure of Escherichia coli ribosomal protein L7/L12: site specific cysteine cross-linking and attachment of fluorescent probes. Biochemistry and Cell Biology. 73(11-12). 949–958. 56 indexed citations
18.
Johnson, Arthur E., Shuren Liao, Jing‐Jer Lin, et al.. (1995). The Environment of Nascent Secretory and Membrane Proteins at the Endoplasmic Reticulum Membrane during Translocation and Integration. Cold Spring Harbor Symposia on Quantitative Biology. 60(0). 71–82. 7 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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