Bruce W. Church

1.5k total citations
30 papers, 449 citations indexed

About

Bruce W. Church is a scholar working on Safety, Risk, Reliability and Quality, Global and Planetary Change and Radiological and Ultrasound Technology. According to data from OpenAlex, Bruce W. Church has authored 30 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Safety, Risk, Reliability and Quality, 7 papers in Global and Planetary Change and 6 papers in Radiological and Ultrasound Technology. Recurrent topics in Bruce W. Church's work include Nuclear and radioactivity studies (7 papers), Radioactive contamination and transfer (7 papers) and Radioactivity and Radon Measurements (6 papers). Bruce W. Church is often cited by papers focused on Nuclear and radioactivity studies (7 papers), Radioactive contamination and transfer (7 papers) and Radioactivity and Radon Measurements (6 papers). Bruce W. Church collaborates with scholars based in United States, Switzerland and Ireland. Bruce W. Church's co-authors include Iya Khalil, L.R. Anspaugh, Robert C. Pendleton, Ray D. Lloyd, Robert E. Miller, Boris Hayete, Diane Wuest, Charles W. Mays, Charles S. Venuto and Tiffany C. Hadzi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Bruce W. Church

29 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruce W. Church United States 11 94 92 77 65 62 30 449
Nikola Veselinović Serbia 14 80 0.9× 39 0.4× 14 0.2× 45 0.7× 235 3.8× 61 456
Jerry M. Cuttler United States 18 73 0.8× 24 0.3× 71 0.9× 4 0.1× 86 1.4× 53 833
Gian Marco Contessa Italy 11 23 0.2× 48 0.5× 60 0.8× 2 0.0× 16 0.3× 39 294
R.N. Beck United States 16 57 0.6× 18 0.2× 26 0.3× 9 0.1× 18 0.3× 47 900
Salam Labidi Tunisia 10 55 0.6× 2 0.0× 11 0.1× 70 1.1× 119 1.9× 66 326
J. Delforge France 12 19 0.2× 23 0.3× 222 2.9× 4 0.1× 13 0.2× 28 663
Julia M. Pearson United States 19 168 1.8× 7 0.1× 140 1.8× 28 0.4× 2 0.0× 30 1.2k
Srimonti Dutta India 14 43 0.5× 7 0.1× 124 1.6× 32 0.5× 8 0.1× 42 542
Alfonso García‐Pérez Spain 9 20 0.2× 2 0.0× 89 1.2× 28 0.4× 45 0.7× 27 377
Ian Grant United Kingdom 9 60 0.6× 160 1.7× 114 1.5× 133 2.0× 19 527

Countries citing papers authored by Bruce W. Church

Since Specialization
Citations

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

Fields of papers citing papers by Bruce W. Church

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruce W. Church. 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 Bruce W. Church. The network helps show where Bruce W. Church may publish in the future.

Co-authorship network of co-authors of Bruce W. Church

This figure shows the co-authorship network connecting the top 25 collaborators of Bruce W. Church. A scholar is included among the top collaborators of Bruce W. Church 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 Bruce W. Church. Bruce W. Church 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.
Latourelle, Jeanne C., et al.. (2023). Abstract LB181: Infer cancer cell gene dependency in multiple myeloma using causal AI in-silico patient model. Cancer Research. 83(8_Supplement). LB181–LB181. 1 indexed citations
2.
Das, Rahul, Raymond T. Yan, Craig B. Davis, et al.. (2020). Causal modeling of TCGA, NSCLC, and HNSCC data to identify network drivers of tumor immune subtypes.. Journal of Clinical Oncology. 38(5_suppl). 68–68. 1 indexed citations
3.
Church, Bruce W. & Antone L. Brooks. (2020). Cost of fear and radiation protection actions: Washington County, Utah and Fukushima, Japan {Comparing case histories}. International Journal of Radiation Biology. 96(4). 520–531. 6 indexed citations
4.
McGeachie, Michael J., Boris Hayete, Heming Xing, et al.. (2018). Systems biology and in vitro validation identifies family with sequence similarity 129 member A (FAM129A) as an asthma steroid response modulator. Journal of Allergy and Clinical Immunology. 142(5). 1479–1488.e12. 12 indexed citations
5.
Latourelle, Jeanne C., Michael T. Beste, Tiffany C. Hadzi, et al.. (2017). Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson's disease: a longitudinal cohort study and validation. The Lancet Neurology. 16(11). 908–916. 106 indexed citations
6.
Ivanov, Vladimir N., Eric Tchetgen Tchetgen, Bruce W. Church, et al.. (2016). Using Clinical Trial and Real World Data to Bridge Efficacy to Effectiveness of Fingolimod in Multiple Sclerosis Patients. Value in Health. 19(7). A426–A426. 1 indexed citations
7.
Steinberg, Gregory, et al.. (2014). Novel predictive models for metabolic syndrome risk: a "big data" analytic approach.. PubMed. 20(6). e221–8. 15 indexed citations
8.
Anderson, Jeffrey, Jignesh R. Parikh, Bruce W. Church, et al.. (2014). Identification of determinants of progression to type 2 diabetes using electronic health records and ‘big data’ analytics. Value in Health. 17(3). A242–A242. 1 indexed citations
9.
Xing, Heming, Paul McDonagh, Jadwiga Biénkowska, et al.. (2011). Causal Modeling Using Network Ensemble Simulations of Genetic and Gene Expression Data Predicts Genes Involved in Rheumatoid Arthritis. PLoS Computational Biology. 7(3). e1001105–e1001105. 32 indexed citations
10.
Shafer, David S., et al.. (2007). CHARACTERIZING POTENTIAL EXPOSURE TO THE PUBLIC FROM LOW-LEVEL RADIOACTIVE WASTE TRANSPORTATION BY TRUCK. Health Physics. 93(6). 645–655. 1 indexed citations
11.
Aksenov, Sergey, et al.. (2005). An integrated approach for inference and mechanistic modeling for advancing drug development. FEBS Letters. 579(8). 1878–1883. 25 indexed citations
12.
Church, Bruce W. & David Shalloway. (2001). Top-down free-energy minimization on protein potential energy landscapes. Proceedings of the National Academy of Sciences. 98(11). 6098–6103. 10 indexed citations
13.
14.
Church, Bruce W., Matej Orešič, & David Shalloway. (1995). Tracking metastable states to free-energy global minima. 41–64. 3 indexed citations
15.
16.
Church, Bruce W., et al.. (1990). Overview of the Department of Energyʼs Off-site Radiation Exposure Review Project (ORERP). Health Physics. 59(5). 503–510. 29 indexed citations
17.
18.
Lloyd, Ray D., Jeff Christensen, Bruce W. Church, et al.. (1967). Polyspec. Health Physics. 13(8). 851–855. 1 indexed citations
19.
Pendleton, Robert C., Charles W. Mays, Ray D. Lloyd, & Bruce W. Church. (1965). A Trophic Level Effect on 137Cs Concentration. Health Physics. 11(12). 1503–1510. 36 indexed citations
20.
Pendleton, Robert C., Ray D. Lloyd, C.W. Mays, & Bruce W. Church. (1964). Trophic Level Effect on the Accumulation of Cæsium-137 in Cougars feeding on Mule Deer. Nature. 204(4959). 708–709. 16 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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