R Tomek

1.2k total citations
9 papers, 955 citations indexed

About

R Tomek is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, R Tomek has authored 9 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in R Tomek's work include Cancer therapeutics and mechanisms (2 papers), Acute Myeloid Leukemia Research (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). R Tomek is often cited by papers focused on Cancer therapeutics and mechanisms (2 papers), Acute Myeloid Leukemia Research (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). R Tomek collaborates with scholars based in United States. R Tomek's co-authors include M Eghbali, Brijesh Bhambi, Vikas P. Sukhatme, Connie W. Woods, Nancy J. Zeleznik‐Le, Alanna M. Harden, Charles M. Rudin, Everett E. Vokes, Livia L. Szeto and Janet D. Rowley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Circulation Research.

In The Last Decade

R Tomek

9 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R Tomek United States	8	600	275	219	167	92	9	955
Itay Shafat Israel	21	647 1.1×	65 0.2×	116 0.5×	223 1.3×	150 1.6×	27	1.1k
Sebastian Dütting Germany	12	256 0.4×	104 0.4×	160 0.7×	360 2.2×	74 0.8×	18	846
Mikio Masuzawa Japan	16	246 0.4×	141 0.5×	272 1.2×	42 0.3×	129 1.4×	47	697
David Smookler Canada	10	240 0.4×	101 0.4×	187 0.9×	79 0.5×	265 2.9×	15	740
C Klein-Soyer France	15	239 0.4×	64 0.2×	68 0.3×	156 0.9×	79 0.9×	20	577
Rosa Artells Spain	16	555 0.9×	132 0.5×	278 1.3×	59 0.4×	384 4.2×	39	1.1k
Tuszynski Gp United States	12	271 0.5×	96 0.3×	77 0.4×	254 1.5×	138 1.5×	25	700
Yiliang E. Liu United States	10	343 0.6×	126 0.5×	429 2.0×	260 1.6×	646 7.0×	11	976
Nagaharu Tsukiji Japan	16	259 0.4×	56 0.2×	252 1.2×	207 1.2×	39 0.4×	29	665
Emilie Dassé France	8	292 0.5×	53 0.2×	189 0.9×	153 0.9×	285 3.1×	9	664

Countries citing papers authored by R Tomek

Since Specialization

Citations

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

Fields of papers citing papers by R Tomek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Tomek

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

All Works

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9 of 9 papers shown

Tomek, R, et al.. (2025). Importance of stratified sampling for use in the development of training and test sets: medical imaging AI applications. 36–36. 1 indexed citations

Rudin, Charles M., Mark Kozloff, Philip C. Hoffman, et al.. (2004). Phase I Study of G3139, a bcl-2 Antisense Oligonucleotide, Combined With Carboplatin and Etoposide in Patients With Small-Cell Lung Cancer. Journal of Clinical Oncology. 22(6). 1110–1117. 120 indexed citations

Rudin, Charles M., Gregory A. Otterson, Ann M. Mauer, et al.. (2002). A pilot trial of G3139, a bcl-2 antisense oligonucleotide,and paclitaxel in patients with chemorefractory small-cell lung cancer. Annals of Oncology. 13(4). 539–545. 116 indexed citations

Vignon, Christine, Yasushi Suto, Alanna M. Harden, et al.. (1998). Establishment and characterization of a megakaryoblast cell line with amplification of MLL. Leukemia. 12(7). 1119–1127. 40 indexed citations

Borrow, Julian, R Tomek, Shalini C. Reshmi, et al.. (1997). MLL is fused to CBP, a histone acetyltransferase, in therapy-related acute myeloid leukemia with a t(11;16)(q23;p13.3). Proceedings of the National Academy of Sciences. 94(16). 8732–8737. 269 indexed citations

Tomek, R, Stephen Rimar, & Mahboubeh Eghbali-Webb. (1994). Nicotine regulates collagen gene expression, collagenase activity, and DNA synthesis in cultured cardiac fibroblasts. Molecular and Cellular Biochemistry. 136(2). 97–103. 25 indexed citations

Tomek, R, et al.. (1994). Gender-specific Differences in Expression mRNAs for Functional and Structural Proteins in Rat Ventricular Myocardium. Journal of Molecular and Cellular Cardiology. 26(2). 261–270. 57 indexed citations

Eghbali, M, et al.. (1991). Differential effects of transforming growth factor-beta 1 and phorbol myristate acetate on cardiac fibroblasts. Regulation of fibrillar collagen mRNAs and expression of early transcription factors.. Circulation Research. 69(2). 483–490. 200 indexed citations

Eghbali, M, R Tomek, Connie W. Woods, & Brijesh Bhambi. (1991). Cardiac fibroblasts are predisposed to convert into myocyte phenotype: specific effect of transforming growth factor beta.. Proceedings of the National Academy of Sciences. 88(3). 795–799. 127 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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