Steven Hayes

897 total citations
12 papers, 749 citations indexed

About

Steven Hayes is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Steven Hayes has authored 12 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Biomedical Engineering. Recurrent topics in Steven Hayes's work include DNA Repair Mechanisms (3 papers), Cancer-related Molecular Pathways (3 papers) and 3D Printing in Biomedical Research (3 papers). Steven Hayes is often cited by papers focused on DNA Repair Mechanisms (3 papers), Cancer-related Molecular Pathways (3 papers) and 3D Printing in Biomedical Research (3 papers). Steven Hayes collaborates with scholars based in United States, Netherlands and Germany. Steven Hayes's co-authors include Ivar Meyvantsson, Pavel Shiyanov, David J. Beebe, Jay W. Warrick, Manju Sharma, Fajun Yang, Donna M. Peehl, Zijie Sun, Pradip Raychaudhuri and Mark A. Zarnegar and has published in prestigious journals such as Molecular and Cellular Biology, Development and Oncogene.

In The Last Decade

Steven Hayes

12 papers receiving 726 citations

Peers

Steven Hayes

MB

BE

ONCOL

GENET

PFM

Xinjun Wang China

Jianhua Wang China

Fang Sui China

N. Sadananda Singh India

Petra Pfisterer Germany

Paolo Accornero Italy

Akihiro Yamamura Japan

Haidong Gao China

Samar Abdulkhalek Canada

Xinjun Wang China

Steven Hayes

486 ×1.1

MB

65 ×0.4

BE

109 ×0.7

ONCOL

94 ×0.8

GENET

105 ×1.2

PFM

Citations per year, relative to Steven Hayes Steven Hayes (= 1×) peers Xinjun Wang

Countries citing papers authored by Steven Hayes

Since Specialization

Citations

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

Fields of papers citing papers by Steven Hayes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Hayes

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

All Works

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12 of 12 papers shown

1.

Meyvantsson, Ivar, et al.. (2011). Image-based analysis of primary human neutrophil chemotaxis in an automated direct-viewing assay. Journal of Immunological Methods. 374(1-2). 70–77. 11 indexed citations

2.

Meyvantsson, Ivar, et al.. (2010). An Automated High-Content Assay for Tumor Cell Migration through 3-Dimensional Matrices. SLAS DISCOVERY. 15(9). 1144–1151. 22 indexed citations

3.

Meyvantsson, Ivar, et al.. (2008). Automated cell culture in high density tubeless microfluidic device arrays. Lab on a Chip. 8(5). 717–717. 148 indexed citations

4.

Wilkinson, Jennifer, Steven Hayes, David M. Thompson, Pamela Whitney, & Kun Bi. (2008). Compound Profiling Using a Panel of Steroid Hormone Receptor Cell-Based Assays. SLAS DISCOVERY. 13(8). 755–765. 39 indexed citations

5.

Qureshi, Sohail A., Karin Zeh, Brian A. Pollok, et al.. (2003). A One-Arm Homologous Recombination Approach for Developing Nuclear Receptor Assays in Somatic Cells. Assay and Drug Development Technologies. 1(6). 767–776. 3 indexed citations

6.

Hayes, Steven, Xiaoke Huang, Suman Kambhampati, Leonidas C. Platanias, & Raymond C. Bergan. (2003). p38 MAP kinase modulates Smad-dependent changes in human prostate cell adhesion. Oncogene. 22(31). 4841–4850. 49 indexed citations

7.

Takimoto, Chris H., Kira Glover-Cutter, Xiaoke Huang, et al.. (2003). Phase I pharmacokinetic and pharmacodynamic analysis of unconjugated soy isoflavones administered to individuals with cancer.. PubMed. 12(11 Pt 1). 1213–21. 111 indexed citations

8.

Hayes, Steven, Mark A. Zarnegar, Manju Sharma, et al.. (2001). SMAD3 represses androgen receptor-mediated transcription.. PubMed. 61(5). 2112–8. 155 indexed citations

9.

Hayes, Steven, et al.. (2001). serpent, a GATA-like transcription factor gene, induces fat-cell development in Drosophila melanogaster. Development. 128(7). 1193–1200. 32 indexed citations

10.

Shiyanov, Pavel, Steven Hayes, Manjula Donepudi, et al.. (1999). The Naturally Occurring Mutants of DDB Are Impaired in Stimulating Nuclear Import of the p125 Subunit and E2F1-Activated Transcription. Molecular and Cellular Biology. 19(7). 4935–4943. 85 indexed citations

11.

Hayes, Steven, Pavel Shiyanov, Xiaoqun Chen, & Pradip Raychaudhuri. (1998). DDB, a Putative DNA Repair Protein, Can Function as a Transcriptional Partner of E2F1. Molecular and Cellular Biology. 18(1). 240–249. 79 indexed citations

12.

Shiyanov, Pavel, et al.. (1997). p27Kip1 induces an accumulation of the repressor complexes of E2F and inhibits expression of the E2F-regulated genes.. Molecular Biology of the Cell. 8(9). 1815–1827. 15 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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