Steve Goodison

8.0k total citations · 1 hit paper
159 papers, 6.1k citations indexed

About

Steve Goodison is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Steve Goodison has authored 159 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 41 papers in Surgery and 36 papers in Cancer Research. Recurrent topics in Steve Goodison's work include Bladder and Urothelial Cancer Treatments (36 papers), Gene expression and cancer classification (21 papers) and Advanced Proteomics Techniques and Applications (18 papers). Steve Goodison is often cited by papers focused on Bladder and Urothelial Cancer Treatments (36 papers), Gene expression and cancer classification (21 papers) and Advanced Proteomics Techniques and Applications (18 papers). Steve Goodison collaborates with scholars based in United States, Japan and United Kingdom. Steve Goodison's co-authors include Virginia Urquidi, Charles J. Rosser, Yijun Sun, Makito Miyake, David G. Jackson, Siniša Todorović, Yunfeng Dai, Yijun Sun, Takashi Sugino and Myron Chang and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Steve Goodison

157 papers receiving 6.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CD44 cell adhesion molecules.

1999 562 citations Steve Goodison, Virginia Urquidi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve Goodison United States	46	3.2k	1.5k	1.3k	1.2k	724	159	6.1k
Sampsa Hautaniemi Finland	49	4.9k 1.5×	1.5k 1.0×	409 0.3×	1.6k 1.3×	529 0.7×	186	7.6k
Nan Hu China	40	2.8k 0.9×	595 0.4×	763 0.6×	825 0.7×	617 0.9×	199	6.1k
Garret M. Hampton United States	45	5.6k 1.7×	2.6k 1.7×	737 0.6×	1.9k 1.6×	745 1.0×	93	9.1k
Lu Xie China	40	4.0k 1.2×	1.1k 0.7×	307 0.2×	1.0k 0.9×	561 0.8×	223	6.3k
Alexander D. Borowsky United States	51	4.7k 1.5×	2.6k 1.7×	344 0.3×	1.6k 1.4×	1.1k 1.6×	197	8.7k
Michael R. Emmert‐Buck United States	55	6.9k 2.1×	2.1k 1.4×	994 0.8×	2.6k 2.2×	505 0.7×	177	10.8k
Kwong‐Kwok Wong United States	48	4.0k 1.3×	1.4k 0.9×	314 0.2×	1.7k 1.4×	646 0.9×	131	6.7k
David E. Misek United States	53	7.1k 2.2×	2.0k 1.3×	909 0.7×	2.0k 1.7×	1.6k 2.2×	95	11.1k
Robert C. Stein United Kingdom	39	2.5k 0.8×	1.7k 1.2×	322 0.3×	819 0.7×	487 0.7×	110	5.7k
Angelo Paradiso Italy	45	3.9k 1.2×	2.9k 2.0×	417 0.3×	2.0k 1.7×	474 0.7×	336	7.8k

Countries citing papers authored by Steve Goodison

Since Specialization

Citations

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

Fields of papers citing papers by Steve Goodison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Goodison

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

All Works

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20 of 20 papers shown

Furuya, Hideki, Steve Goodison, Ian Pagano, et al.. (2023). Association of SNPs in the PAI1 Gene with Disease Recurrence and Clinical Outcome in Bladder Cancer. International Journal of Molecular Sciences. 24(5). 4943–4943. 4 indexed citations

Li, Lu, Jiho Sohn, Robert J. Genco, et al.. (2022). Computational approach to modeling microbiome landscapes associated with chronic human disease progression. PLoS Computational Biology. 18(8). e1010373–e1010373. 3 indexed citations

Chen, Jian, Le Yang, Lu Li, Steve Goodison, & Yijun Sun. (2022). Alignment-free comparison of metagenomics sequences via approximate string matching. Bioinformatics Advances. 2(1). vbac077–vbac077. 3 indexed citations

Chen, Runpu, Le Yang, Steve Goodison, & Yijun Sun. (2019). Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data. Bioinformatics. 36(5). 1476–1483. 92 indexed citations

Chen, Runpu, Steve Goodison, & Yijun Sun. (2019). Molecular Profiles of Matched Primary and Metastatic Tumor Samples Support a Linear Evolutionary Model of Breast Cancer. Cancer Research. 80(2). 170–174. 12 indexed citations

Shimizu, Yoshiko, Hideki Furuya, Owen Chan, et al.. (2017). Genetic deletion of sphingosine kinase 1 suppresses mouse breast tumor development in an HER2 transgenic model. Carcinogenesis. 39(1). 47–55. 13 indexed citations

Huang, Sijia, Lei Kou, Hideki Furuya, et al.. (2016). A Nomogram Derived by Combination of Demographic and Biomarker Data Improves the Noninvasive Evaluation of Patients at Risk for Bladder Cancer. Cancer Epidemiology Biomarkers & Prevention. 25(9). 1361–1366. 7 indexed citations

Mao, Qi, Le Yang, Li Wang, Steve Goodison, & Yijun Sun. (2015). SimplePPT: A Simple Principal Tree Algorithm. 792–800. 13 indexed citations

Miyake, Makito, et al.. (2014). PAI-1 Leads to G1-Phase Cell-Cycle Progression through Cyclin D3/cdk4/6 Upregulation. Molecular Cancer Research. 12(3). 322–334. 45 indexed citations

10.

Zhang, Ge, Makito Miyake, Adrienne Lawton, Steve Goodison, & Charles J. Rosser. (2014). Matrix metalloproteinase-10 promotes tumor progression through regulation of angiogenic and apoptotic pathways in cervical tumors. BMC Cancer. 14(1). 310–310. 75 indexed citations

11.

Gomes-Giacoia, Evan, Makito Miyake, Steve Goodison, et al.. (2014). Intravesical ALT-803 and BCG Treatment Reduces Tumor Burden in a Carcinogen Induced Bladder Cancer Rat Model; a Role for Cytokine Production and NK Cell Expansion. PLoS ONE. 9(6). e96705–e96705. 78 indexed citations

12.

Gomes-Giacoia, Evan, Makito Miyake, Steve Goodison, & Charles J. Rosser. (2013). Targeting Plasminogen Activator Inhibitor-1 Inhibits Angiogenesis and Tumor Growth in a Human Cancer Xenograft Model. Molecular Cancer Therapeutics. 12(12). 2697–2708. 61 indexed citations

13.

Urquidi, Virginia, Charles J. Rosser, & Steve Goodison. (2013). Multiplex Urinary Tests for Bladder Cancer Diagnosis. 70–73. 1 indexed citations

14.

Goodison, Steve, Charles J. Rosser, & Virginia Urquidi. (2013). Bladder Cancer Detection and Monitoring: Assessment of Urine- and Blood-Based Marker Tests. Molecular Diagnosis & Therapy. 17(2). 71–84. 98 indexed citations

15.

Miyake, Makito, et al.. (2013). Expression of CXCL1 in human endothelial cells induces angiogenesis through the CXCR2 receptor and the ERK1/2 and EGF pathways. Laboratory Investigation. 93(7). 768–778. 110 indexed citations

16.

Urquidi, Virginia, Steve Goodison, Yunpeng Cai, Yijun Sun, & Charles J. Rosser. (2012). A Candidate Molecular Biomarker Panel for the Detection of Bladder Cancer. Cancer Epidemiology Biomarkers & Prevention. 21(12). 2149–2158. 72 indexed citations

17.

Goodison, Steve & Virginia Urquidi. (2012). The Cancer Testis Antigen PRAME As a Biomarker for Solid Tumor Cancer Management. Biomarkers in Medicine. 6(5). 629–632. 37 indexed citations

18.

Sun, Yijun, Siniša Todorović, & Steve Goodison. (2009). Local-Learning-Based Feature Selection for High-Dimensional Data Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(9). 1610–1626. 264 indexed citations

19.

Sun, Yijun & Steve Goodison. (2007). Predicting Breast Cancer Metastasis by Integrating Both Clinical and Genetic Markers.. 229–235. 1 indexed citations

20.

Ranki, Tuuli, Anna Kanerva, Ari Ristimäki, et al.. (2006). A heparan sulfate-targeted conditionally replicative adenovirus, Ad5.pk7-Δ24, for the treatment of advanced breast cancer. Gene Therapy. 14(1). 58–67. 42 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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