Thomas J. Vasicek

2.9k total citations · 1 hit paper
17 papers, 2.3k citations indexed

About

Thomas J. Vasicek is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thomas J. Vasicek has authored 17 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thomas J. Vasicek's work include Animal Genetics and Reproduction (4 papers), Molecular Biology Techniques and Applications (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Thomas J. Vasicek is often cited by papers focused on Animal Genetics and Reproduction (4 papers), Molecular Biology Techniques and Applications (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Thomas J. Vasicek collaborates with scholars based in United States, France and Switzerland. Thomas J. Vasicek's co-authors include Philip Leder, Frank Costantini, Tong Zhang, Li Zeng, Shirley M. Tilghman, William L. Perry, James J. Lee, Barry M. Gumbiner, François Fagotto and Wei Hsu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Thomas J. Vasicek

17 papers receiving 2.2k citations

Hit Papers

The Mouse Locus Encodes Axin, an Inhibitor of the Wnt Sig... 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas J. Vasicek United States 14 1.9k 381 256 216 169 17 2.3k
Anna Voronova United States 13 1.5k 0.8× 295 0.8× 595 2.3× 330 1.5× 82 0.5× 15 2.1k
Jan Blancato United States 22 943 0.5× 454 1.2× 251 1.0× 254 1.2× 108 0.6× 47 1.7k
E Shyam P Reddy United States 30 1.7k 0.9× 457 1.2× 297 1.2× 442 2.0× 164 1.0× 52 2.4k
Véronique Pantesco France 22 2.0k 1.1× 292 0.8× 319 1.2× 404 1.9× 84 0.5× 35 2.7k
Virginia Bertness United States 16 1.1k 0.6× 278 0.7× 355 1.4× 460 2.1× 237 1.4× 18 1.9k
Olivier Albagli France 26 1.7k 0.9× 495 1.3× 486 1.9× 361 1.7× 203 1.2× 60 2.6k
Henrik Vissing United States 25 2.0k 1.1× 906 2.4× 166 0.6× 419 1.9× 120 0.7× 48 2.8k
Zuqin Nie United States 14 2.2k 1.2× 186 0.5× 300 1.2× 339 1.6× 262 1.6× 16 2.6k
M. Schwab Germany 22 1.8k 1.0× 605 1.6× 199 0.8× 628 2.9× 166 1.0× 36 2.7k
Dimitrina D. Pravtcheva United States 24 1.2k 0.6× 563 1.5× 380 1.5× 280 1.3× 51 0.3× 54 1.8k

Countries citing papers authored by Thomas J. Vasicek

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Vasicek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. Vasicek

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Vasicek. A scholar is included among the top collaborators of Thomas J. Vasicek 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 J. Vasicek. Thomas J. Vasicek 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.
Nitta, Hiroaki, Wenjun Zhang, Brian Kelly, et al.. (2010). Automated brightfield break-apart in situ hybridization (ba-ISH) application: ALK and MALT1 genes as models. Methods. 52(4). 352–358. 16 indexed citations
2.
Roach, Jared C., Kelly D. Smith, Christian Haudenschild, et al.. (2007). Transcription factor expression in lipopolysaccharide-activated peripheral-blood-derived mononuclear cells. Proceedings of the National Academy of Sciences. 104(41). 16245–16250. 49 indexed citations
3.
Zhou, Daixing, Mahendra S. Rao, Irina Khrebtukova, et al.. (2006). Massively Parallel Signature Sequencing. Humana Press eBooks. 331. 285–312. 5 indexed citations
4.
5.
Lin, Biaoyang, James T. White, Wei Lu, et al.. (2005). Evidence for the Presence of Disease-Perturbed Networks in Prostate Cancer Cells by Genomic and Proteomic Analyses: A Systems Approach to Disease. Cancer Research. 65(8). 3081–3091. 68 indexed citations
6.
Crawford, Gregory E., Ingeborg Holt, James R. Whittle, et al.. (2005). Genome-wide mapping of DNase hypersensitive sites using massively parallel signature sequencing (MPSS). Genome Research. 16(1). 123–131. 368 indexed citations
7.
Stolovitzky, Gustavo, Anshul Kundaje, G. A. Held, et al.. (2005). Statistical analysis of MPSS measurements: Application to the study of LPS-activated macrophage gene expression. Proceedings of the National Academy of Sciences. 102(5). 1402–1407. 38 indexed citations
8.
Jongeneel, C. Victor, Mauro Delorenzi, Christian Iseli, et al.. (2005). An atlas of human gene expression from massively parallel signature sequencing (MPSS). Genome Research. 15(7). 1007–1014. 130 indexed citations
9.
Murakami, Akikazu, et al.. (2005). GITR overexpression on CD4+CD25+ HTLV-1 transformed cells: Detection by massively parallel signature sequencing. Biochemical and Biophysical Research Communications. 332(2). 569–584. 8 indexed citations
10.
Zeng, Li, François Fagotto, Tong Zhang, et al.. (1997). The Mouse Locus Encodes Axin, an Inhibitor of the Wnt Signaling Pathway That Regulates Embryonic Axis Formation. Cell. 90(1). 181–192. 769 indexed citations breakdown →
11.
Vasicek, Thomas J., et al.. (1997). Two Dominant Mutations in the Mouse Fused Gene Are the Result of Transposon Insertions. Genetics. 147(2). 777–786. 120 indexed citations
12.
Perry, William L., Thomas J. Vasicek, J M Rossi, et al.. (1995). Phenotypic and molecular analysis of a transgenic insertional allele of the mouse Fused locus.. Genetics. 141(1). 321–332. 84 indexed citations
13.
Vasicek, Thomas J., et al.. (1992). B-less: a strain of profoundly B cell-deficient mice expressing a human lambda transgene.. The Journal of Experimental Medicine. 175(5). 1169–1180. 11 indexed citations
14.
Vasicek, Thomas J. & Philip Leder. (1990). Structure and expression of the human immunoglobulin lambda genes.. The Journal of Experimental Medicine. 172(2). 609–620. 125 indexed citations
15.
Murphy, William S., Rebecca Taub, Thomas J. Vasicek, et al.. (1986). A translocated human c-myc oncogene is altered in a conserved coding sequence.. Proceedings of the National Academy of Sciences. 83(9). 2939–2943. 46 indexed citations
16.
Taub, Rebecca, Christopher Moulding, Jim Battey, et al.. (1984). Activation and somatic mutation of the translocated c-myc gene in Burkitt lymphoma cells. Cell. 36(2). 339–348. 301 indexed citations
17.
Vasicek, Thomas J., Mason W. Freeman, G.N. Hendy, et al.. (1983). Nucleotide sequence of the human parathyroid hormone gene.. Proceedings of the National Academy of Sciences. 80(8). 2127–2131. 147 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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