Geoffrey D. Cassell

434 total citations
8 papers, 353 citations indexed

About

Geoffrey D. Cassell is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Geoffrey D. Cassell has authored 8 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Ecology. Recurrent topics in Geoffrey D. Cassell's work include Virus-based gene therapy research (3 papers), Bacteriophages and microbial interactions (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Geoffrey D. Cassell is often cited by papers focused on Virus-based gene therapy research (3 papers), Bacteriophages and microbial interactions (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Geoffrey D. Cassell collaborates with scholars based in United States and Italy. Geoffrey D. Cassell's co-authors include Matthew D. Weitzman, Anca M. Segall, Mauro Giacca, Rachel A. Schwartz, José Palacios, Chih-Lin Hsieh, Ryan A. Irvine, Noritaka Adachi, Michael R. Lieber and Zarir E. Karanjawala and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Molecular and Cellular Biology.

In The Last Decade

Geoffrey D. Cassell

8 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geoffrey D. Cassell United States	7	277	183	56	39	34	8	353
Pei Wu United States	2	265 1.0×	310 1.7×	43 0.8×	68 1.7×	46 1.4×	3	384
Glen A. Farr United States	10	202 0.7×	230 1.3×	71 1.3×	143 3.7×	18 0.5×	14	466
Kenan Demir Türkiye	8	264 1.0×	129 0.7×	28 0.5×	26 0.7×	12 0.4×	11	350
Ruth Popa-Wagner Germany	8	237 0.9×	287 1.6×	36 0.6×	90 2.3×	39 1.1×	8	345
Heather Bouzek United States	8	336 1.2×	64 0.3×	51 0.9×	41 1.1×	17 0.5×	8	473
M. Krämer Germany	10	124 0.4×	77 0.4×	28 0.5×	72 1.8×	43 1.3×	24	312
Martha Ruben Canada	11	129 0.5×	116 0.6×	67 1.2×	38 1.0×	47 1.4×	14	305
Linda Grave France	8	222 0.8×	204 1.1×	28 0.5×	63 1.6×	60 1.8×	9	318
Samantha Barichievy South Africa	10	272 1.0×	78 0.4×	89 1.6×	59 1.5×	14 0.4×	13	361
Michael Seyffert Switzerland	9	173 0.6×	166 0.9×	88 1.6×	73 1.9×	31 0.9×	13	301

Countries citing papers authored by Geoffrey D. Cassell

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey D. Cassell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey D. Cassell

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

All Works

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8 of 8 papers shown

1.

Schwartz, Rachel A., et al.. (2007). The Mre11/Rad50/Nbs1 Complex Limits Adeno-Associated Virus Transduction and Replication. Journal of Virology. 81(23). 12936–12945. 99 indexed citations

2.

Cassell, Geoffrey D., et al.. (2006). Spermidine biases the resolution of Holliday junctions by phage integrase. Nucleic Acids Research. 35(3). 716–727. 5 indexed citations

3.

Irvine, Ryan A., Noritaka Adachi, Darryl Shibata, et al.. (2004). Generation and Characterization of Endonuclease G Null Mice. Molecular and Cellular Biology. 25(1). 294–302. 83 indexed citations

4.

Cassell, Geoffrey D. & Matthew D. Weitzman. (2004). Characterization of a nuclear localization signal in the C-terminus of the adeno-associated virus Rep68/78 proteins. Virology. 327(2). 206–214. 17 indexed citations

5.

Cassell, Geoffrey D. & Anca M. Segall. (2003). Mechanism of Inhibition of Site-specific Recombination by the Holliday Junction-trapping Peptide WKHYNY: Insights into Phage λ Integrase-mediated Strand Exchange. Journal of Molecular Biology. 327(2). 413–429. 19 indexed citations

6.

Stracker, Travis H., Geoffrey D. Cassell, Peter Ward, et al.. (2003). The Rep Protein of Adeno-Associated Virus Type 2 Interacts with Single-Stranded DNA-Binding Proteins That Enhance Viral Replication. Journal of Virology. 78(1). 441–453. 57 indexed citations

7.

Cheng, Chonghui, et al.. (2000). Peptide inhibitors of DNA cleavage by tyrosine recombinases and topoisomerases. Journal of Molecular Biology. 299(5). 1203–1216. 34 indexed citations

8.

Cassell, Geoffrey D., et al.. (2000). Dissection of bacteriophage λ site-specific recombination using synthetic peptide combinatorial libraries. Journal of Molecular Biology. 299(5). 1193–1202. 39 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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