R Sikorski

9.7k total citations · 1 hit paper
18 papers, 8.8k citations indexed

About

R Sikorski is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, R Sikorski has authored 18 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in R Sikorski's work include Lung Cancer Treatments and Mutations (6 papers), Fungal and yeast genetics research (4 papers) and DNA Repair Mechanisms (3 papers). R Sikorski is often cited by papers focused on Lung Cancer Treatments and Mutations (6 papers), Fungal and yeast genetics research (4 papers) and DNA Repair Mechanisms (3 papers). R Sikorski collaborates with scholars based in United States, Hong Kong and India. R Sikorski's co-authors include P. Hieter, Philip Hieter, William A. Michaud, John Lamb, Steven I. Reed, Janice Nigro, Bert Vogelstein, Carol Jones, Jennifer G. Peak and Meyrick J. Peak and has published in prestigious journals such as Journal of Clinical Oncology, The EMBO Journal and Molecular and Cellular Biology.

In The Last Decade

R Sikorski

16 papers receiving 8.7k citations

Hit Papers

A system of shuttle vectors and yeast host strains design... 1989 2026 2001 2013 1989 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Sikorski United States 11 8.1k 2.3k 1.0k 532 523 18 8.8k
P. Hieter United States 6 8.1k 1.0× 2.2k 1.0× 1.1k 1.1× 568 1.1× 555 1.1× 6 8.6k
Arndt Brachat Switzerland 16 7.5k 0.9× 2.4k 1.1× 1.0k 1.0× 485 0.9× 390 0.7× 20 8.2k
Achim Wach Switzerland 21 10.3k 1.3× 3.3k 1.5× 1.5k 1.5× 712 1.3× 705 1.3× 31 11.1k
Mark D. Rose United States 50 10.4k 1.3× 5.1k 2.2× 1.5k 1.5× 580 1.1× 752 1.4× 96 11.7k
Michael J. R. Stark United Kingdom 49 6.2k 0.8× 2.0k 0.9× 1.4k 1.3× 205 0.4× 646 1.2× 111 7.5k
Y Fukuda Japan 8 7.0k 0.9× 1.3k 0.6× 1.2k 1.2× 707 1.3× 627 1.2× 12 7.7k
Kelly Tatchell United States 50 6.6k 0.8× 1.8k 0.8× 1.1k 1.1× 542 1.0× 471 0.9× 88 7.1k
Akio Toh‐e Japan 63 9.5k 1.2× 3.2k 1.4× 1.8k 1.8× 639 1.2× 725 1.4× 217 10.7k
Jun‐ichi Nikawa Japan 37 3.9k 0.5× 1.4k 0.6× 480 0.5× 380 0.7× 285 0.5× 74 4.9k
Stephen A. Osmani United States 40 5.7k 0.7× 3.2k 1.4× 1.4k 1.3× 252 0.5× 237 0.5× 100 6.4k

Countries citing papers authored by R Sikorski

Since Specialization
Citations

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

Fields of papers citing papers by R Sikorski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Sikorski

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

All Works

18 of 18 papers shown
1.
Ghoddusi, Majid, Keith R. Pierce, Jean Powers, et al.. (2016). FGFR2b represents a novel target for treatment of urothelial cancer. European Journal of Cancer. 69. S143–S143.
2.
Blumenschein, George R., Fairooz F. Kabbinavar, Hari Menon, et al.. (2011). A phase II, multicenter, open-label randomized study of motesanib or bevacizumab in combination with paclitaxel and carboplatin for advanced nonsquamous non-small-cell lung cancer. Annals of Oncology. 22(9). 2057–2067. 77 indexed citations
3.
Tebbutt, N. C., Lara Lipton, Ralph V. Boccia, et al.. (2011). The effect of motesanib treatment on the gallbladder: A randomized phase Ib study in patients (pts) with advanced solid tumors.. Journal of Clinical Oncology. 29(15_suppl). e13555–e13555. 3 indexed citations
5.
Blumenschein, G. R., Fairooz F. Kabbinavar, Hari Menon, et al.. (2010). Randomized, open-label phase II study of motesanib or bevacizumab in combination with paclitaxel and carboplatin (P/C) for advanced nonsquamous non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 28(15_suppl). 7528–7528. 14 indexed citations
6.
Blumenschein, George R., L. Schwartzberg, Hari Menon, et al.. (2009). 9165 Motesanib or bevacizumab in combination with paclitaxel and carboplatin in patients with advanced nonsquamous non-small cell lung cancer (NSCLC): interim results from a randomized, open-label, phase 2 study. European Journal of Cancer Supplements. 7(2). 555–555. 1 indexed citations
7.
Cohn, Allen Lee, Deborah A. Smith, Marcus A. Neubauer, et al.. (2008). Panitumumab (pmab) regimen evaluation in colorectal cancer to estimate primary response to treatment (PRECEPT): Effect of KRAS mutation status on second-line treatment (tx) with pmab and FOLFIRI. Journal of Clinical Oncology. 26(15_suppl). 4127–4127. 11 indexed citations
8.
Mutoh, Masato, et al.. (1999). A p21(Waf1/Cip1)carboxyl-terminal peptide exhibited cyclin-dependent kinase-inhibitory activity and cytotoxicity when introduced into human cells.. PubMed. 59(14). 3480–8. 61 indexed citations
9.
Sikorski, R & Richard Peters. (1997). Allergy and immunology on the Internet.. PubMed. 278(22). 2029–30. 1 indexed citations
10.
Lamb, John, William A. Michaud, R Sikorski, & Philip Hieter. (1994). Cdc16p, Cdc23p and Cdc27p form a complex essential for mitosis.. The EMBO Journal. 13(18). 4321–4328. 217 indexed citations
11.
Sikorski, R, William A. Michaud, & Philip Hieter. (1993). p62cdc23 of Saccharomyces cerevisiae: a nuclear tetratricopeptide repeat protein with two mutable domains.. Molecular and Cellular Biology. 13(2). 1212–1221. 59 indexed citations
12.
Nigro, Janice, R Sikorski, Steven I. Reed, & Bert Vogelstein. (1992). Human p53 and CDC2Hs genes combine to inhibit the proliferation of Saccharomyces cerevisiae.. Molecular and Cellular Biology. 12(3). 1357–1365. 109 indexed citations
13.
Sikorski, R, William A. Michaud, John C. Wootton, et al.. (1991). TPR Proteins as Essential Components of the Yeast Cell Cycle. Cold Spring Harbor Symposia on Quantitative Biology. 56(0). 663–673. 68 indexed citations
14.
Sikorski, R & P. Hieter. (1989). A system of shuttle vectors and yeast host strains designed for efficient manipulation of DNA in Saccharomyces cerevisiae.. Genetics. 122(1). 19–27. 8041 indexed citations breakdown →
15.
Spencer, Forrest, Carla J. Connelly, Sandra L. Gerring, et al.. (1989). Chromosomal aneuploidy in Saccharomyces cerevisiae.. PubMed. 318. 293–306. 2 indexed citations
16.
Peak, Jennifer G., Meyrick J. Peak, R Sikorski, & Carol Jones. (1985). INDUCTION OF DNA‐PROTEIN CROSSLINKS IN HUMAN CELLS BY ULTRAVIOLET and VISIBLE RADIATIONS: ACTION SPECTRUM. Photochemistry and Photobiology. 41(3). 295–302. 92 indexed citations
17.
Wood, D O, et al.. (1983). Expression of the Rickettsia prowazekii citrate synthase gene in Escherichia coli. Journal of Bacteriology. 155(1). 412–416. 35 indexed citations
18.
Sikorski, R, et al.. (1978). [Supplementary bleeding into the vitreous body].. PubMed. 33(31). 1217–8. 3 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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