Timothy J. Sendera

1.8k total citations
17 papers, 1.2k citations indexed

About

Timothy J. Sendera is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Timothy J. Sendera has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Timothy J. Sendera's work include Gene expression and cancer classification (6 papers), Molecular Biology Techniques and Applications (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Timothy J. Sendera is often cited by papers focused on Gene expression and cancer classification (6 papers), Molecular Biology Techniques and Applications (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Timothy J. Sendera collaborates with scholars based in United States, United Kingdom and Spain. Timothy J. Sendera's co-authors include Elliott J. Mufson, Teresa Sobreviela, Jeffrey S. Kroin, Jeffrey H. Kordower, Elizabeth J. Cochran, Er-Yun Chen, Christopher G. Goetz, Stéphane Palfi, Elliott J. Mufson and Richard D. Penn and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and Annals of Neurology.

In The Last Decade

Timothy J. Sendera

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy J. Sendera United States 14 582 500 202 191 179 17 1.2k
Kwang‐Soo Kim United States 16 816 1.4× 981 2.0× 118 0.6× 246 1.3× 224 1.3× 23 1.6k
Tomoyo Ochiishi Japan 21 589 1.0× 546 1.1× 228 1.1× 118 0.6× 73 0.4× 31 1.2k
Sanyong Niu United States 11 721 1.2× 758 1.5× 172 0.9× 492 2.6× 208 1.2× 14 1.8k
Lore Becker Germany 24 440 0.8× 653 1.3× 108 0.5× 82 0.4× 212 1.2× 43 1.4k
Marcin Piechota Poland 22 445 0.8× 550 1.1× 195 1.0× 90 0.5× 118 0.7× 61 1.4k
Meleik A. Hebert United States 12 549 0.9× 301 0.6× 182 0.9× 161 0.8× 67 0.4× 12 980
Jarlath M.H. ffrench‐Mullen United States 16 535 0.9× 597 1.2× 162 0.8× 50 0.3× 128 0.7× 18 1.4k
Alison M. Beckmann Australia 9 718 1.2× 551 1.1× 84 0.4× 63 0.3× 112 0.6× 10 1.1k
Chiho Sumi‐Ichinose Japan 19 561 1.0× 644 1.3× 163 0.8× 52 0.3× 122 0.7× 42 1.3k
Mei-Fang Xiao United States 21 444 0.8× 539 1.1× 84 0.4× 185 1.0× 81 0.5× 28 1.3k

Countries citing papers authored by Timothy J. Sendera

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Sendera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Sendera. 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 Timothy J. Sendera. The network helps show where Timothy J. Sendera may publish in the future.

Co-authorship network of co-authors of Timothy J. Sendera

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

All Works

17 of 17 papers shown
1.
Wang, Xiaowei, et al.. (2009). Selection of hyperfunctional siRNAs with improved potency and specificity. Nucleic Acids Research. 37(22). e152–e152. 52 indexed citations
2.
Puri, Nitin, Xin Wang, Lilia M. Beauchamp, et al.. (2008). LNA(R) incorporated siRNAs exhibit lower off-target effects compared to 2'-OMethoxy in Cell Phenotypic Assays and Microarray Analysis. Nucleic Acids Symposium Series. 52(1). 25–26. 21 indexed citations
3.
Adak, S., et al.. (2006). Considerations in Making Microarray Cross-Platform Correlations. 83. 101–102. 2 indexed citations
4.
Perez, Sylvia E., Timothy J. Sendera, Jeffrey H. Kordower, & Elliott J. Mufson. (2004). Estrogen receptor alpha containing neurons in the monkey forebrain: lack of association with calcium binding proteins and choline acetyltransferase. Brain Research. 1019(1-2). 55–63. 18 indexed citations
5.
Miller, Renee M., Linda M. Callahan, Cindy Casaceli, et al.. (2004). Dysregulation of Gene Expression in the 1-Methyl-4-Phenyl-1,2,3,6-Tetrahydropyridine-Lesioned Mouse Substantia Nigra. Journal of Neuroscience. 24(34). 7445–7454. 82 indexed citations
6.
Shippy, Richard, Timothy J. Sendera, Chockalingam Palaniappan, et al.. (2004). Performance evaluation of commercial short-oligonucleotide microarrays and the impact of noise in making cross-platform correlations. BMC Genomics. 5(1). 61–61. 111 indexed citations
7.
Kriete, Andres, Brad Love, John Freund, et al.. (2003). Combined histomorphometric and gene-expression profiling applied to toxicology. Genome biology. 4(5). R32–R32. 26 indexed citations
8.
Dorris, David, Allen Nguyen, Linn Gieser, et al.. (2003). Oligodeoxyribonucleotide probe accessibility on a three-dimensional DNA microarray surface and the effect of hybridization time on the accuracy of expression ratios. BMC Biotechnology. 3(1). 6–6. 46 indexed citations
9.
Sendera, Timothy J., et al.. (2003). Analysis of gene expression in carbon tetrachloride-treated rat livers using a novel bioarray technology. The Pharmacogenomics Journal. 3(1). 41–52. 13 indexed citations
10.
Sendera, Timothy J., et al.. (2002). Expression Profiling with Oligonucleotide Arrays: Technologies and Applications for Neurobiology. Neurochemical Research. 27(10). 1005–1026. 7 indexed citations
11.
Sendera, Timothy J., Sherie Ma, Syed Jaffar, et al.. (2000). Reduction in TrkA‐Immunoreactive Neurons Is Not Associated with an Overexpression of Galaninergic Fibers Within the Nucleus Basalis in Down's Syndrome. Journal of Neurochemistry. 74(3). 1185–1196. 62 indexed citations
12.
Mufson, Elliott J., Jeffrey S. Kroin, Timothy J. Sendera, & Teresa Sobreviela. (1999). Distribution and retrograde transport of trophic factors in the central nervous system: functional implications for the treatment of neurodegenerative diseases. Progress in Neurobiology. 57(4). 451–484. 246 indexed citations
13.
Mufson, Elliott J., Syed Jaffar, Er‐Yun Chen, et al.. (1999). Estrogen receptor immunoreactivity within subregions of the rat forebrain: neuronal distribution and association with perikarya containing choline acetyltransferase. Brain Research. 849(1-2). 253–274. 84 indexed citations
14.
Kordower, Jeffrey H., Stéphane Palfi, Er-Yun Chen, et al.. (1999). Clinicopathological findings following intraventricular glial-derived neurotrophic factor treatment in a patient with Parkinson's disease. Annals of Neurology. 46(3). 419–424. 320 indexed citations
15.
Sendera, Timothy J.. (1997). Interactions of Thyroid Hormones, Nerve Growth Factor and Its Receptors in Development and Plasticity of the Rat Olfactory Bulb. 2 indexed citations
16.
Meisami, Esmail & Timothy J. Sendera. (1993). Morphometry of rat olfactory bulbs stained for cytochrome oxidase reveals that the entire population of glomeruli forms early in the neonatal period. Developmental Brain Research. 71(2). 253–257. 41 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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