C. Ronald Geyer

2.3k total citations
68 papers, 1.7k citations indexed

About

C. Ronald Geyer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, C. Ronald Geyer has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 31 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Oncology. Recurrent topics in C. Ronald Geyer's work include Monoclonal and Polyclonal Antibodies Research (28 papers), Glycosylation and Glycoproteins Research (10 papers) and Radiopharmaceutical Chemistry and Applications (9 papers). C. Ronald Geyer is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (28 papers), Glycosylation and Glycoproteins Research (10 papers) and Radiopharmaceutical Chemistry and Applications (9 papers). C. Ronald Geyer collaborates with scholars based in Canada, United States and Cuba. C. Ronald Geyer's co-authors include John F. DeCoteau, Dipankar Sen, Dipankar Sen, Md. Kausar Alam, Kris Barreto, Roger Brent, Humphrey Fonge, Stuart A. Scott, Thomas R. Battersby and Steven A. Benner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

C. Ronald Geyer

63 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Ronald Geyer Canada 25 1.2k 396 237 132 128 68 1.7k
Berend Tolner United Kingdom 26 953 0.8× 394 1.0× 297 1.3× 181 1.4× 274 2.1× 50 1.8k
Jiang Wu United States 20 1.1k 0.9× 188 0.5× 128 0.5× 65 0.5× 59 0.5× 43 1.8k
Harri Siitari Finland 18 658 0.5× 259 0.7× 112 0.5× 224 1.7× 104 0.8× 32 1.6k
Hiroko Shibata Japan 22 738 0.6× 247 0.6× 144 0.6× 178 1.3× 82 0.6× 85 1.4k
Kurt Zimmermann Germany 24 780 0.6× 607 1.5× 347 1.5× 69 0.5× 75 0.6× 66 1.7k
Henryk Mach United States 19 1.0k 0.8× 253 0.6× 85 0.4× 117 0.9× 108 0.8× 34 1.4k
Cristina Delgado United Kingdom 16 929 0.8× 194 0.5× 253 1.1× 199 1.5× 423 3.3× 40 1.7k
Andrei A. Purmal United States 25 1.4k 1.1× 200 0.5× 270 1.1× 31 0.2× 178 1.4× 57 2.0k
Christian Kleist Germany 22 511 0.4× 213 0.5× 456 1.9× 95 0.7× 86 0.7× 56 1.3k
K.C. Ingham United States 23 1.0k 0.8× 221 0.6× 145 0.6× 113 0.9× 149 1.2× 42 2.1k

Countries citing papers authored by C. Ronald Geyer

Since Specialization
Citations

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

Fields of papers citing papers by C. Ronald Geyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Ronald Geyer

This figure shows the co-authorship network connecting the top 25 collaborators of C. Ronald Geyer. A scholar is included among the top collaborators of C. Ronald Geyer 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 C. Ronald Geyer. C. Ronald Geyer 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
1.
Allan, Nick, Jacob M. Hooker, Wendy Bernhard, et al.. (2025). Olfactory Drug Delivery in Rodents: Deposition and Pharmacokinetics. ACS Pharmacology & Translational Science. 8(7). 2167–2179.
2.
Ding, Yulian, Yi Pan, C. Ronald Geyer, et al.. (2025). Unraveling bladder cancer-related circRNA biomarkers: a hybrid model combining deep learning and statistics. Health Information Science and Systems. 13(1). 53–53. 1 indexed citations
3.
Pastushok, Landon, Shrutii Sarda, Wayne Hill, et al.. (2024). A Novel Single-Tube Next Generation Sequencing Assay for B-Cell Receptor Clonality Testing. SHILAP Revista de lepidopterología. 5(1). 45–65.
4.
Bernhard, Wendy, et al.. (2024). Antibody-targeted T cells and natural killer cells for cancer immunotherapy. Journal of Nanobiotechnology. 22(1). 640–640. 1 indexed citations
5.
Sultana, Sharmin & C. Ronald Geyer. (2024). Effect of framework and complementarity determining region H1 charge on the human VH-B1a domain expression, folding, stability, and solubility. Biochemical and Biophysical Research Communications. 739. 150956–150956.
6.
Alizadeh, Elahe, Khan Behlol Ayaz Ahmed, V. Raja Solomon, et al.. (2021). 89Zr-Labeled Domain II-Specific scFv-Fc ImmunoPET Probe for Imaging Epidermal Growth Factor Receptor In Vivo. Cancers. 13(3). 560–560. 9 indexed citations
7.
Bernhard, Wendy, Kris Barreto, Ayman El‐Sayed, et al.. (2021). Pre-clinical study of IRDye800CW-nimotuzumab formulation, stability, pharmacokinetics, and safety. BMC Cancer. 21(1). 270–270. 12 indexed citations
8.
Cawthray, Jacqueline F., et al.. (2020). Production and Semi-Automated Processing of 89Zr Using a Commercially Available TRASIS MiniAiO Module. Molecules. 25(11). 2626–2626. 13 indexed citations
9.
Pastushok, Landon, Leo S. Lin, Yu Luo, et al.. (2019). A Novel Cell-Penetrating Antibody Fragment Inhibits the DNA Repair Protein RAD51. Scientific Reports. 9(1). 11227–11227. 15 indexed citations
10.
Bernhard, Wendy, et al.. (2019). Near infrared imaging of epidermal growth factor receptor positive xenografts in mice with domain I/II specific antibody fragments. Theranostics. 9(4). 974–985. 10 indexed citations
11.
Wahid, Khan A., et al.. (2019). A Low-Cost and Portable Smart Instrumentation for Detecting Colorectal Cancer Cells. Applied Sciences. 9(17). 3510–3510. 8 indexed citations
12.
13.
Solomon, V. Raja, Carolina González, Elahe Alizadeh, et al.. (2018). 99mTc(CO)3+ labeled domain I/II-specific anti-EGFR (scFv)2 antibody fragment for imaging EGFR expression. European Journal of Medicinal Chemistry. 157. 437–446. 10 indexed citations
15.
Geyer, C. Ronald, John McCafferty, Stefan Dübel, Andrew Bradbury, & Sachdev S. Sidhu. (2012). Recombinant Antibodies and In Vitro Selection Technologies. Methods in molecular biology. 901. 11–32. 58 indexed citations
16.
Barreto, Kris, et al.. (2009). A Genetic Screen for Isolating “Lariat” Peptide Inhibitors of Protein Function. Chemistry & Biology. 16(11). 1148–1157. 16 indexed citations
17.
Zhao, Ronghua, John F. DeCoteau, C. Ronald Geyer, et al.. (2009). Loss of imprinting of the insulin-like growth factor II (IGF2) gene in esophageal normal and adenocarcinoma tissues. Carcinogenesis. 30(12). 2117–2122. 35 indexed citations
18.
Lakshmikuttyamma, Ashakumary, Stuart A. Scott, John F. DeCoteau, & C. Ronald Geyer. (2009). Reexpression of epigenetically silenced AML tumor suppressor genes by SUV39H1 inhibition. Oncogene. 29(4). 576–588. 89 indexed citations
19.
Geyer, C. Ronald, et al.. (2008). Cloning, Expression, Purification and Crystallization of the PR Domain of Human Retinoblastoma Protein-Binding Zinc Finger Protein 1 (RIZ1). International Journal of Molecular Sciences. 9(6). 943–950. 7 indexed citations
20.
Jacob, K., et al.. (1980). Beiträge zur Chemie der Alkylverbindungen von Übergangsmetallen. XXX. Synthese und Charakterisierung von Nitrobenzylnickel‐Verbindungen. Zeitschrift für anorganische und allgemeine Chemie. 462(1). 177–184. 6 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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