Richard G. Posner

2.9k total citations
57 papers, 2.1k citations indexed

About

Richard G. Posner is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Richard G. Posner has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 16 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Oncology. Recurrent topics in Richard G. Posner's work include Monoclonal and Polyclonal Antibodies Research (15 papers), Gene Regulatory Network Analysis (9 papers) and Pancreatic and Hepatic Oncology Research (6 papers). Richard G. Posner is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (15 papers), Gene Regulatory Network Analysis (9 papers) and Pancreatic and Hepatic Oncology Research (6 papers). Richard G. Posner collaborates with scholars based in United States, Australia and Ireland. Richard G. Posner's co-authors include William S. Hlavacek, Daniel D. Von Hoff, Haiyong Han, Clifford J. Whatcott, James R. Faeder, Galen Hostetter, Alan S. Perelson, Michael L. Blinov, Michael Hucka and Walter Fontana and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Richard G. Posner

55 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard G. Posner United States 27 1.3k 383 342 282 196 57 2.1k
Bruno Catimel Australia 26 1.5k 1.2× 488 1.3× 397 1.2× 297 1.1× 342 1.7× 73 2.3k
Glen Spraggon United States 37 2.3k 1.8× 454 1.2× 179 0.5× 201 0.7× 193 1.0× 70 4.0k
Steven H. L. Verhelst Germany 33 2.1k 1.6× 642 1.7× 235 0.7× 293 1.0× 386 2.0× 111 3.3k
Jon R. Appel United States 19 2.1k 1.7× 268 0.7× 739 2.2× 198 0.7× 167 0.9× 46 2.6k
Veronica Morea Italy 29 1.8k 1.4× 210 0.5× 498 1.5× 265 0.9× 210 1.1× 72 2.5k
William S. Hlavacek United States 36 2.9k 2.3× 263 0.7× 356 1.0× 522 1.9× 168 0.9× 103 4.0k
Lorenz M. Mayr Switzerland 28 2.3k 1.8× 434 1.1× 267 0.8× 390 1.4× 159 0.8× 51 3.1k
Ingrid Remy Canada 14 1.6k 1.3× 300 0.8× 184 0.5× 207 0.7× 388 2.0× 15 2.2k
Marisa L. Martin-Fernandez United Kingdom 28 1.4k 1.1× 326 0.9× 367 1.1× 102 0.4× 247 1.3× 78 2.3k
Darren R. Veach United States 26 1.5k 1.2× 1.0k 2.7× 413 1.2× 394 1.4× 193 1.0× 58 4.0k

Countries citing papers authored by Richard G. Posner

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Posner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard G. Posner. 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 Richard G. Posner. The network helps show where Richard G. Posner may publish in the future.

Co-authorship network of co-authors of Richard G. Posner

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

All Works

20 of 20 papers shown
2.
Hlavacek, William S., et al.. (2019). A Step-by-Step Guide to Using BioNetFit. Methods in molecular biology. 1945. 391–419. 2 indexed citations
3.
Dias, Raquel, et al.. (2018). Using both qualitative and quantitative data in parameter identification for systems biology models. Nature Communications. 9(1). 3901–3901. 14 indexed citations
4.
Rukhlenko, Oleksii S., Aleksandar Krstić, Leonidas G. Alexopoulos, et al.. (2018). Dissecting RAF Inhibitor Resistance by Structure-based Modeling Reveals Ways to Overcome Oncogenic RAS Signaling. Cell Systems. 7(2). 161–179.e14. 50 indexed citations
5.
Ramanathan, Ramesh K., Glen J. Weiss, Richard G. Posner, et al.. (2017). A phase 2 trial of personalized cytotoxic therapy based on tumor immunohistochemistry in previously treated metastatic pancreatic cancer patients. Journal of Gastrointestinal Oncology. 8(6). 925–935. 1 indexed citations
6.
Chylek, Lily A., Joshua Colvin, Suman Sirimulla, et al.. (2015). BioNetFit: a fitting tool compatible with BioNetGen, NFsim and distributed computing environments. Bioinformatics. 32(5). 798–800. 24 indexed citations
7.
Spivak-Kroizman, Taly R., Galen Hostetter, Richard G. Posner, et al.. (2013). Hypoxia Triggers Hedgehog-Mediated Tumor–Stromal Interactions in Pancreatic Cancer. Cancer Research. 73(11). 3235–3247. 163 indexed citations
8.
Whatcott, Clifford J., Haiyong Han, Richard G. Posner, & Daniel D. Von Hoff. (2012). Tumor-Stromal Interactions in Pancreatic Cancer. Critical Reviews™ in Oncogenesis. 18(1 - 2). 135–151. 61 indexed citations
9.
Creamer, Matthew S., Edward C. Stites, Meraj Aziz, et al.. (2012). Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling. BMC Systems Biology. 6(1). 107–107. 27 indexed citations
10.
Chylek, Lily A., Bin Hu, Michael L. Blinov, et al.. (2011). Guidelines for visualizing and annotating rule-based models. Molecular BioSystems. 7(10). 2779–2795. 29 indexed citations
11.
Colvin, Joshua, Michael Monine, Ryan N. Gutenkunst, et al.. (2010). RuleMonkey: software for stochastic simulation of rule-based models. BMC Bioinformatics. 11(1). 404–404. 44 indexed citations
12.
Colvin, Joshua, Michael Monine, James R. Faeder, et al.. (2009). Simulation of large-scale rule-based models. Bioinformatics. 25(7). 910–917. 44 indexed citations
13.
Tessema, Mathewos, Peter C. Simons, Daniel F. Cimino, et al.. (2006). Glutathione‐S‐transferase‐green fluorescent protein fusion protein reveals slow dissociation from high site density beads and measures free GSH. Cytometry Part A. 69A(5). 326–334. 20 indexed citations
14.
Zwartz, Gordon J., Alexandre Chigaev, Terry D. Foutz, et al.. (2004). Relationship between Molecular and Cellular Dissociation Rates for VLA-4/VCAM-1 Interaction in the Absence of Shear Stress. Biophysical Journal. 86(2). 1243–1252. 29 indexed citations
15.
Hlavacek, William S., Richard G. Posner, & Alan S. Perelson. (1999). Steric Effects on Multivalent Ligand-Receptor Binding: Exclusion of Ligand Sites by Bound Cell Surface Receptors. Biophysical Journal. 76(6). 3031–3043. 124 indexed citations
16.
Posner, Richard G., et al.. (1998). Kinetics of Adhesion of IgE-Sensitized Rat Basophilic Leukemia Cells to Surface-Immobilized Antigen in Couette Flow. Biophysical Journal. 75(5). 2597–2611. 36 indexed citations
17.
Posner, Richard G., Kalyanasundaram Subramanian, B. Goldstein, et al.. (1995). Simultaneous cross-linking by two nontriggering bivalent ligands causes synergistic signaling of IgE Fc ε RI complexes. The Journal of Immunology. 155(7). 3601–3609. 42 indexed citations
18.
Habbersett, Robert C., Richard G. Posner, Terri L. Gilbert, et al.. (1994). Multiparameter flow cytometric analysis of a pH sensitive formyl peptide with application to receptor structure and processing kinetics. Cytometry. 15(2). 148–153. 1 indexed citations
19.
Erickson, Jon W., Richard G. Posner, Byron Goldstein, David Holowka, & Barbara Baird. (1991). Bivalent ligand dissociation kinetics from receptor-bound immunoglobulin E: evidence for a time-dependent increase in ligand rebinding at the cell surface. Biochemistry. 30(9). 2357–2363. 26 indexed citations
20.
Posner, Richard G., et al.. (1991). Real-time analysis of the assembly of ligand, receptor, and G protein by quantitative fluorescence flow cytometry. Biochemistry. 30(20). 5066–5075. 65 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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