Steven K. Koester

965 total citations
26 papers, 838 citations indexed

About

Steven K. Koester is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Steven K. Koester has authored 26 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Genetics. Recurrent topics in Steven K. Koester's work include Cell death mechanisms and regulation (7 papers), RNA Interference and Gene Delivery (6 papers) and Estrogen and related hormone effects (4 papers). Steven K. Koester is often cited by papers focused on Cell death mechanisms and regulation (7 papers), RNA Interference and Gene Delivery (6 papers) and Estrogen and related hormone effects (4 papers). Steven K. Koester collaborates with scholars based in United States, Finland and France. Steven K. Koester's co-authors include Wade E. Bolton, Dean A. Troyer, Jolene J. Windle, Olavi Siiman, Ivan Sondi, Egon Matijević, Mark A. Subler, Chonghui Zhang, Stuart F. Schlossman and Susan G. Hilsenbeck and has published in prestigious journals such as Molecular and Cellular Biology, Langmuir and Biochemical Journal.

In The Last Decade

Steven K. Koester

25 papers receiving 813 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven K. Koester United States 13 538 284 102 100 78 26 838
Cecilia M. Whitacre United States 14 566 1.1× 328 1.2× 116 1.1× 95 0.9× 86 1.1× 22 960
Johannes Ottl Switzerland 19 731 1.4× 192 0.7× 194 1.9× 57 0.6× 81 1.0× 32 1.1k
Steve K. Cho United States 19 542 1.0× 367 1.3× 128 1.3× 147 1.5× 32 0.4× 36 1.2k
Yumiko Ohta Japan 17 503 0.9× 173 0.6× 93 0.9× 152 1.5× 69 0.9× 46 855
Olivier Reelfs United Kingdom 15 594 1.1× 373 1.3× 139 1.4× 45 0.5× 77 1.0× 20 977
Samad Muhammadnejad Iran 15 272 0.5× 263 0.9× 124 1.2× 98 1.0× 66 0.8× 58 763
Neng-Yao Shih Taiwan 10 641 1.2× 171 0.6× 181 1.8× 79 0.8× 38 0.5× 13 844
Günther Jahreis Germany 17 588 1.1× 164 0.6× 164 1.6× 119 1.2× 35 0.4× 49 928
Chunfang Hu China 14 421 0.8× 225 0.8× 158 1.5× 91 0.9× 27 0.3× 36 752
Hongliang Zong China 20 708 1.3× 259 0.9× 118 1.2× 155 1.6× 78 1.0× 34 1.1k

Countries citing papers authored by Steven K. Koester

Since Specialization
Citations

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

Fields of papers citing papers by Steven K. Koester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven K. Koester. 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 Steven K. Koester. The network helps show where Steven K. Koester may publish in the future.

Co-authorship network of co-authors of Steven K. Koester

This figure shows the co-authorship network connecting the top 25 collaborators of Steven K. Koester. A scholar is included among the top collaborators of Steven K. Koester 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 Steven K. Koester. Steven K. Koester 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.
Koester, Steven K. & Wade E. Bolton. (2001). Chapter 22 Cytometry of caspases. Methods in cell biology. 63. 487–504. 6 indexed citations
2.
Koester, Steven K. & Wade E. Bolton. (2001). Chapter 12 Strategies for cell permeabilization and fixation in detecting surface and intracellular antigens. Methods in cell biology. 63. 253–268. 7 indexed citations
3.
Koester, Steven K. & Wade E. Bolton. (2000). Intracellular markers. Journal of Immunological Methods. 243(1-2). 99–106. 13 indexed citations
4.
Koester, Steven K. & Wade E. Bolton. (1999). Differentiation and Assessment of Cell Death. Clinical Chemistry and Laboratory Medicine (CCLM). 37(3). 311–317. 23 indexed citations
5.
Subler, Mark A., Elaine Rands, Charles A. Omer, et al.. (1998). A Farnesyltransferase Inhibitor Induces Tumor Regression in Transgenic Mice Harboring Multiple Oncogenic Mutations by Mediating Alterations in Both Cell Cycle Control and Apoptosis. Molecular and Cellular Biology. 18(1). 85–92. 147 indexed citations
6.
Koester, Steven K., et al.. (1998). APO2.7 defines a shared apoptotic-necrotic pathway in a breast tumor hypoxia model. Cytometry. 33(3). 324–332. 18 indexed citations
7.
Avner, Barry P., Andrew Hanly, Carolyn Mies, et al.. (1997). Discrimination of late apoptotic/necrotic cells (type III) by flow cytometry in solid tumors. Cytometry. 28(1). 81–89. 51 indexed citations
8.
Woynarowski, Jan M., Cheryl Napier, Steven K. Koester, et al.. (1997). Effects on DNA integrity and apoptosis induction by a novel antitumor sesquiterpene drug, 6-hydroxymethylacylfulvene (HMAF, MGI 114). Biochemical Pharmacology. 54(11). 1181–1193. 90 indexed citations
9.
Avner, Barry P., Andrew Hanly, Carolyn Mies, et al.. (1997). Discrimination of late apoptotic/necrotic cells (type III) by flow cytometry in solid tumors. Cytometry. 28(1). 81–89. 6 indexed citations
10.
11.
Koester, Steven K., et al.. (1997). Monitoring early cellular responses in apoptosis is aided by the mitochondrial membrane protein-specific monoclonal antibody APO2.7. Cytometry. 29(4). 306–312. 94 indexed citations
12.
Koester, Steven K., Juhani Mäenpää, Valerie J. Wiebe, et al.. (1994). Flow cytometry: Potential utility in monitoring drug effects in breast cancer. Breast Cancer Research and Treatment. 32(1). 57–65. 7 indexed citations
13.
Mäenpää, Juhani, et al.. (1994). Reduced tamoxifen accumulation is not associated with stimulated growth in tamoxifen resistance. Cancer Chemotherapy and Pharmacology. 35(2). 149–152. 2 indexed citations
14.
Wiebe, Valerie J., Gene B. Hubbard, Steven K. Koester, et al.. (1993). Prolonged tamoxifen exposure selects a breast cancer cell clone that is stable in vitro and in vivo. European Journal of Cancer. 29(15). 2138–2144. 10 indexed citations
15.
Baker, W. Jeffrey, Valerie J. Wiebe, Steven K. Koester, et al.. (1992). Monitoring the chemosensitizing effects of toremifene with flow cytometry in estrogen receptor negative multidrug resistant human breast cancer cells. Breast Cancer Research and Treatment. 24(1). 43–49. 14 indexed citations
16.
Choy, H., et al.. (1991). Analysis of GSH from primary tumors and its role in in vitro chemosensitivities. Investigational New Drugs. 9(4). 327–328. 1 indexed citations
17.
Barranco, S. C., et al.. (1990). Schedule dependent potentiation of antitumor drug effects by α-difluoromethylornithine in human gastric carcinoma cells in vitro. Investigational New Drugs. 8(S1). S9–S18. 3 indexed citations
18.
Barranco, S. C., et al.. (1988). Changes in drug sensitivity of a human astrocytoma clone previously treated with 1-(2-chloroethyl)-3-(4-methylcyclohexyl)-1-nitrosourea in vitro. Investigational New Drugs. 6(4). 293–298. 2 indexed citations
19.
Barranco, S. C., et al.. (1988). Treatment-induced changes in sensitivity in a multiclonal human tumor mixture model in vitro.. PubMed. 48(10). 2749–55. 5 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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