Thomas G. Griffiths

890 total citations
8 papers, 632 citations indexed

About

Thomas G. Griffiths is a scholar working on Molecular Biology, Microbiology and Immunology. According to data from OpenAlex, Thomas G. Griffiths has authored 8 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Microbiology and 3 papers in Immunology. Recurrent topics in Thomas G. Griffiths's work include Immunotherapy and Immune Responses (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Microbial infections and disease research (3 papers). Thomas G. Griffiths is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Microbial infections and disease research (3 papers). Thomas G. Griffiths collaborates with scholars based in United States, Italy and Israel. Thomas G. Griffiths's co-authors include Philip J. Troilo, Cindy J. Pauley, Laural B. Harper, Brian J. Ledwith, Sujata Manam, Amy B. Barnum, Carolann M. Beare, Stephen Pacchione, Walter Bagdon and Warren W. Nichols and has published in prestigious journals such as The FASEB Journal, Toxicological Sciences and Gene Therapy.

In The Last Decade

Thomas G. Griffiths

8 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas G. Griffiths United States 7 346 253 189 161 92 8 632
Amy B. Barnum United States 6 335 1.0× 248 1.0× 195 1.0× 164 1.0× 90 1.0× 6 598
Laural B. Harper United States 5 330 1.0× 247 1.0× 187 1.0× 156 1.0× 86 0.9× 5 585
Sissela Liljeqvist Sweden 12 321 0.9× 116 0.5× 135 0.7× 85 0.5× 76 0.8× 13 621
Zhaochun Chen United States 18 493 1.4× 233 0.9× 225 1.2× 174 1.1× 277 3.0× 30 1.0k
Te-Hui Chou United States 15 310 0.9× 331 1.3× 221 1.2× 116 0.7× 244 2.7× 18 782
Jan zur Megede United States 19 377 1.1× 557 2.2× 359 1.9× 109 0.7× 302 3.3× 32 1.1k
Zhongkai Shi United States 12 209 0.6× 246 1.0× 311 1.6× 164 1.0× 274 3.0× 16 697
Tim D. Jones United Kingdom 14 389 1.1× 162 0.6× 150 0.8× 64 0.4× 76 0.8× 15 783
A. A. Ilyichev Russia 16 378 1.1× 203 0.8× 215 1.1× 50 0.3× 153 1.7× 74 669
R. Arjen Kramer United States 12 401 1.2× 126 0.5× 461 2.4× 121 0.8× 212 2.3× 12 1.1k

Countries citing papers authored by Thomas G. Griffiths

Since Specialization
Citations

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

Fields of papers citing papers by Thomas G. Griffiths

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas G. Griffiths

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

All Works

8 of 8 papers shown
1.
Troilo, Philip J., Thomas G. Griffiths, Laural B. Harper, et al.. (2021). Characterization of integration frequency and insertion sites of adenovirus DNA into mouse liver genomic DNA following intravenous injection. Gene Therapy. 29(6). 322–332. 8 indexed citations
2.
Podtelezhnikov, Alexei A., Keith Q. Tanis, Stephen Pacchione, et al.. (2020). Development and Application of a Transcriptomic Signature of Bioactivation in an Advanced In Vitro Liver Model to Reduce Drug-induced Liver Injury Risk Early in the Pharmaceutical Pipeline. Toxicological Sciences. 177(1). 121–139. 17 indexed citations
3.
Wang, Zhibin, Stephen Pacchione, Zhutian Niu, et al.. (2010). A multi-species assay for siRNA-mediated mRNA knockdown analysis without the need for RNA purification. Journal of Pharmacological and Toxicological Methods. 63(2). 174–179. 2 indexed citations
4.
Zeira, Evelyne, Eli Kedar, Michal Gropp, et al.. (2007). Femtosecond laser: a new intradermal DNA delivery method for efficient, long‐term gene expression and genetic immunization. The FASEB Journal. 21(13). 3522–3533. 28 indexed citations
5.
Troilo, Philip J., Thomas G. Griffiths, Stephen Pacchione, et al.. (2004). Detection of integration of plasmid DNA into host genomic DNA following intramuscular injection and electroporation. Gene Therapy. 11(8). 711–721. 243 indexed citations
6.
Ledwith, Brian J., Sujata Manam, Philip J. Troilo, et al.. (2000). Plasmid DNA Vaccines: Investigation of Integration into Host Cellular DNA following Intramuscular Injection in Mice. Intervirology. 43(4-6). 258–272. 145 indexed citations
7.
Manam, Sujata, Brian J. Ledwith, Amy B. Barnum, et al.. (2000). Plasmid DNA Vaccines: Tissue Distribution and Effects of DNA Sequence, Adjuvants and Delivery Method on Integration into Host DNA. Intervirology. 43(4-6). 273–281. 134 indexed citations
8.
Ledwith, Brian J., Sujata Manam, Philip J. Troilo, et al.. (2000). Plasmid DNA vaccines: assay for integration into host genomic DNA.. PubMed. 104. 33–43. 55 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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