Stephen A. Stanhope

1.1k total citations
29 papers, 790 citations indexed

About

Stephen A. Stanhope is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, Stephen A. Stanhope has authored 29 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Stephen A. Stanhope's work include Gender, Labor, and Family Dynamics (3 papers), MicroRNA in disease regulation (3 papers) and Evolutionary Algorithms and Applications (3 papers). Stephen A. Stanhope is often cited by papers focused on Gender, Labor, and Family Dynamics (3 papers), MicroRNA in disease regulation (3 papers) and Evolutionary Algorithms and Applications (3 papers). Stephen A. Stanhope collaborates with scholars based in United States, Switzerland and Australia. Stephen A. Stanhope's co-authors include Michael A. Newton, Srikumar Sengupta, Paul Ahlquist, Allan Hildesheim, I‐How Chen, Chien‐Jen Chen, Bill Sugden, Yu-Juen Cheng, Johan A. den Boon and Sandra L. Hofferth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Stephen A. Stanhope

26 papers receiving 764 citations

Peers

Stephen A. Stanhope

ONCOL

Joshua M. Nicholson United States

András Bodor Hungary

Nam-Hoon Cho South Korea

Sara Nasser Germany

Layla Oesper United States

Frederick M. Howard United States

Diane M. Radford United States

Francisco M. De La Vega United States

Jason Wang United States

C Satoh Japan

Joshua M. Nicholson United States

Stephen A. Stanhope

316 ×0.7

226 ×0.5

33 ×0.4

10 ×0.1

101 ×1.7

ONCOL

Citations per year, relative to Stephen A. Stanhope Stephen A. Stanhope (= 1×) peers Joshua M. Nicholson

Countries citing papers authored by Stephen A. Stanhope

Since Specialization

Citations

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

Fields of papers citing papers by Stephen A. Stanhope

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Stanhope. 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 Stephen A. Stanhope. The network helps show where Stephen A. Stanhope may publish in the future.

Co-authorship network of co-authors of Stephen A. Stanhope

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen A. Stanhope. A scholar is included among the top collaborators of Stephen A. Stanhope 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 Stephen A. Stanhope. Stephen A. Stanhope 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

Iyer, Renuka, Kathryn Evans, Alyssa Klein, et al.. (2025). Real-world assessment of MDM2 amplification and survival among patients with advanced or metastatic biliary tract cancer in the United States.. Journal of Clinical Oncology. 43(4_suppl). 544–544. 1 indexed citations

Baik, Christina S., Christine M. Lovly, Tejas Patil, et al.. (2024). PP01.115 Real-World Characteristics and Outcomes Among Patients With Advanced Non-Small Cell Lung Cancer (NSCLC) and HER2 Mutations. Journal of Thoracic Oncology. 19(7). e49–e50. 1 indexed citations

Arora, Jatin, A. Mesut Erzurumluoglu, Stephen A. Stanhope, et al.. (2024). Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction. Journal of the American Medical Informatics Association. 32(3). 435–446.

Stanhope, Stephen A.. (2023). Risk Free Valuation of Free Bet Coupons and Insured Wagers in Sports Betting. SSRN Electronic Journal.

Desai, Amit, et al.. (2021). Pharmacokinetics and Bioequivalence of Isavuconazole Administered as Isavuconazonium Sulfate Intravenous Solution via Nasogastric Tube or Orally in Healthy Subjects. Antimicrobial Agents and Chemotherapy. 65(9). e0044221–e0044221. 8 indexed citations

Kimura, Tomomi, et al.. (2020). Clostridioides (Clostridium) difficile infection in Japanese hospitals 2008–2017: A real-world nationwide analysis of treatment pattern, incidence and testing density. Journal of Infection and Chemotherapy. 26(5). 438–443. 8 indexed citations

Stanhope, Stephen A., et al.. (2018). The effects of home-based primary care on Medicare costs at Spectrum Health/Priority Health (Grand Rapids, MI, USA) from 2012-present: a matched cohort study. BMC Health Services Research. 18(1). 161–161. 7 indexed citations

May, Patricia, et al.. (2014). Randomized Controlled Trial of Perioperative ICD Management: Magnet Application versus Reprogramming. Pacing and Clinical Electrophysiology. 37(9). 1219–1224. 16 indexed citations

Stanhope, Stephen A. & Andrew D. Skol. (2012). Improved Minimum Cost and Maximum Power Two Stage Genome-Wide Association Study Designs. PLoS ONE. 7(9). e42367–e42367. 5 indexed citations

10.

Stanhope, Stephen A.. (2010). Occupancy Modeling, Maximum Contig Size Probabilities and Designing Metagenomics Experiments. PLoS ONE. 5(7). e11652–e11652. 11 indexed citations

11.

Li, Keguo, Yannick Blum, Anjali Verma, et al.. (2009). A noncoding antisense RNA in tie-1 locus regulates tie-1 function in vivo. Blood. 115(1). 133–139. 130 indexed citations

12.

Stanhope, Stephen A., et al.. (2009). Statistical Use of Argonaute Expression and RISC Assembly in microRNA Target Identification. PLoS Computational Biology. 5(9). e1000516–e1000516. 10 indexed citations

13.

Ensenberger, Martin G., Richard B. Halberg, Stephen A. Stanhope, et al.. (2006). A novel method for biodosimetry. Radiation and Environmental Biophysics. 46(2). 147–154. 8 indexed citations

14.

Stanhope, Stephen A.. (2005). Evolution strategies for multivariate-to-anything partially specified random vector generation. 32. 2235–2240. 1 indexed citations

15.

Thliveris, Andrew, Richard B. Halberg, Linda Clipson, et al.. (2005). Polyclonality of familial murine adenomas: Analyses of mouse chimeras with low tumor multiplicity suggest short-range interactions. Proceedings of the National Academy of Sciences. 102(19). 6960–6965. 41 indexed citations

16.

Stanhope, Stephen A.. (2005). Case studies in multivariate-to-anything transforms for partially specified random vector generation. Insurance Mathematics and Economics. 37(1). 68–79. 9 indexed citations

17.

Daida, Jason M., Christian Wolf, David T. Walker, et al.. (2002). Measuring small-scale water surface waves: nonlinear interpolation and integration techniques for slope-image data. ANU Open Research (Australian National University). 4. 2219–2221.

18.

Stanhope, Stephen A., et al.. (1999). <title>Reasoning support and uncertainty prediction in model-based vision SAR ATR</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3721. 620–631. 2 indexed citations

19.

Stanhope, Stephen A. & Jason M. Daida. (1998). Genetic Programming for Automatic Target Classification and Recognition. 735–744. 7 indexed citations

20.

Daida, Jason M., Catherine S. Grasso, Stephen A. Stanhope, & Steven J. Ross. (1996). Symbionticism and Complex Adaptive Systems I: Implications of Having Symbiosis Occur in Nature.. 177–186. 13 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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