Clark Tibbetts

2.8k total citations
55 papers, 2.3k citations indexed

About

Clark Tibbetts is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Clark Tibbetts has authored 55 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 32 papers in Genetics and 17 papers in Infectious Diseases. Recurrent topics in Clark Tibbetts's work include Virus-based gene therapy research (28 papers), Viral gastroenteritis research and epidemiology (16 papers) and Viral Infectious Diseases and Gene Expression in Insects (12 papers). Clark Tibbetts is often cited by papers focused on Virus-based gene therapy research (28 papers), Viral gastroenteritis research and epidemiology (16 papers) and Viral Infectious Diseases and Gene Expression in Insects (12 papers). Clark Tibbetts collaborates with scholars based in United States, Sweden and Japan. Clark Tibbetts's co-authors include Lennart Philipson, Ulf Pettersson, Tadashi Inagami, Baochuan Lin, David A. Stenger, Kunio S. Misono, Ryoichi Takayanagi, Kailash N. Pandey, Masatoshi Maki and Donald Seto and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Clark Tibbetts

54 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clark Tibbetts United States 29 1.4k 1.0k 512 382 259 55 2.3k
Claire Summers United Kingdom 7 1.1k 0.8× 369 0.4× 124 0.2× 202 0.5× 86 0.3× 12 2.6k
David T. Kiang United States 34 1.2k 0.8× 583 0.6× 548 1.1× 551 1.4× 36 0.1× 87 3.5k
Jerry A. Peterson United States 27 1.5k 1.0× 386 0.4× 289 0.6× 93 0.2× 29 0.1× 72 3.2k
Marc Sitbon France 31 962 0.7× 524 0.5× 319 0.6× 67 0.2× 41 0.2× 86 3.0k
Wenjian Wang China 27 1.6k 1.1× 359 0.4× 300 0.6× 77 0.2× 103 0.4× 46 2.6k
G P Vlasuk United States 25 739 0.5× 327 0.3× 103 0.2× 513 1.3× 132 0.5× 36 2.2k
Narushi Iizuka Japan 15 1.2k 0.9× 135 0.1× 385 0.8× 1.1k 2.8× 39 0.2× 21 2.3k
Roberto A. Díez Argentina 19 854 0.6× 246 0.2× 178 0.3× 145 0.4× 50 0.2× 63 2.1k
Genki Kimura Japan 25 1.1k 0.7× 492 0.5× 160 0.3× 37 0.1× 230 0.9× 129 2.2k
Séverine Marionneau‐Lambot France 20 867 0.6× 670 0.7× 1.5k 3.0× 500 1.3× 44 0.2× 36 3.2k

Countries citing papers authored by Clark Tibbetts

Since Specialization
Citations

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

Fields of papers citing papers by Clark Tibbetts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clark Tibbetts. 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 Clark Tibbetts. The network helps show where Clark Tibbetts may publish in the future.

Co-authorship network of co-authors of Clark Tibbetts

This figure shows the co-authorship network connecting the top 25 collaborators of Clark Tibbetts. A scholar is included among the top collaborators of Clark Tibbetts 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 Clark Tibbetts. Clark Tibbetts 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.
Atreya, Chintamani D., Hira L. Nakhasi, Jay S. Epstein, et al.. (2011). FDA workshop on emerging infectious diseases: evaluating emerging infectious diseases (EIDs) for transfusion safety. Transfusion. 51(8). 1855–1871. 15 indexed citations
2.
Malanoski, Anthony P., Baochuan Lin, Tomasz A. Łęski, et al.. (2010). Broad Spectrum Respiratory Pathogen Analysis of Throat Swabs from Military Recruits Reveals Interference Between Rhinoviruses and Adenoviruses. Microbial Ecology. 59(4). 623–634. 38 indexed citations
3.
Mahadevan, Padmanabhan, Jason Seto, Clark Tibbetts, & Donald Seto. (2009). Natural variants of human adenovirus type 3 provide evidence for relative genome stability across time and geographic space. Virology. 397(1). 113–118. 23 indexed citations
4.
Seto, Jason, Michael P. Walsh, Padmanabhan Mahadevan, et al.. (2009). Genomic and bioinformatics analyses of HAdV-14p, reference strain of a re-emerging respiratory pathogen and analysis of B1/B2. Virus Research. 143(1). 94–105. 16 indexed citations
5.
Łęski, Tomasz A., Baochuan Lin, Anthony P. Malanoski, et al.. (2009). Testing and Validation of High Density Resequencing Microarray for Broad Range Biothreat Agents Detection. PLoS ONE. 4(8). e6569–e6569. 48 indexed citations
6.
Lin, Baochuan, Anthony P. Malanoski, Zheng Wang, et al.. (2007). Application of Broad-Spectrum, Sequence-Based Pathogen Identification in an Urban Population. PLoS ONE. 2(5). e419–e419. 24 indexed citations
7.
Lin, Baochuan, Zheng Wang, Gary J. Vora, et al.. (2006). Broad-spectrum respiratory tract pathogen identification using resequencing DNA microarrays. Genome Research. 16(4). 527–535. 106 indexed citations
8.
Thach, Dzung, Brian K. Agan, Chris Olsen, et al.. (2005). Surveillance of transcriptomes in basic military trainees with normal, febrile respiratory illness, and convalescent phenotypes. Genes and Immunity. 6(7). 588–595. 19 indexed citations
9.
10.
Garcia, Ephrahim, et al.. (1996). Genome Organization and Evolutionary Search in the Design of Neural Networks.. 1374(1). 397–404. 1 indexed citations
11.
Hamid, Rizwan, Joy D. Cogan, Stephen N. Jones, & Clark Tibbetts. (1995). Phenotypic Determinants of Adenovirus E1A Gene Autoregulation: Variable Region between Conserved Coding Domains 2 and 3. Virology. 213(2). 666–670. 1 indexed citations
12.
13.
Gruber, William C., et al.. (1993). Fiber Gene and Genomic Origin of Human Adenovirus Type 4. Virology. 196(2). 603–611. 30 indexed citations
14.
Iwai, N., Shigeyuki Chaki, Fumiko Konishi, et al.. (1991). Rat angiotensin II receptor: cDNA sequence and regulation of the gene expression. Biochemical and Biophysical Research Communications. 177(1). 299–304. 162 indexed citations
15.
Cmarik, Joan L., et al.. (1991). Neighboring nucleotide interactions during DNA sequencing gel electrophoresis. Nucleic Acids Research. 19(11). 3089–3097. 39 indexed citations
16.
Tibbetts, Clark, P L Larsen, & Stephen N. Jones. (1986). Autoregulation of adenovirus E1A gene expression. Journal of Virology. 57(3). 1055–1064. 20 indexed citations
17.
Maki, Masatoshi, et al.. (1985). Nucleotide sequence comparison of mRNAs coding for major calcium-sensitive caseins between cow and rat.. Agricultural and Biological Chemistry. 49(4). 1099–1109. 1 indexed citations
18.
Green, Catherine & Clark Tibbetts. (1980). Targeted deletions of sequences from closed circular DNA.. Proceedings of the National Academy of Sciences. 77(5). 2455–2459. 23 indexed citations
19.
Tibbetts, Clark & Jerome Vinograd. (1973). Synthesis of Mitochondrial Deoxyribonucleic Acid with a Partially Purified Deoxyribonucleic Acid Polymerase from the Mitochondria of HeLa Cells. Journal of Biological Chemistry. 248(10). 3380–3385. 14 indexed citations
20.
Tibbetts, Clark, et al.. (1973). Hydroxyapatite Chromatography and Formamide Denaturation of Adenovirus DNA. Journal of Virology. 12(2). 218–225. 121 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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