B.A. Napier

2.2k total citations
95 papers, 1.2k citations indexed

About

B.A. Napier is a scholar working on Radiology, Nuclear Medicine and Imaging, Global and Planetary Change and Radiological and Ultrasound Technology. According to data from OpenAlex, B.A. Napier has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Radiology, Nuclear Medicine and Imaging, 41 papers in Global and Planetary Change and 34 papers in Radiological and Ultrasound Technology. Recurrent topics in B.A. Napier's work include Radioactive contamination and transfer (41 papers), Radiation Dose and Imaging (38 papers) and Radioactivity and Radon Measurements (34 papers). B.A. Napier is often cited by papers focused on Radioactive contamination and transfer (41 papers), Radiation Dose and Imaging (38 papers) and Radioactivity and Radon Measurements (34 papers). B.A. Napier collaborates with scholars based in United States, Russia and United Kingdom. B.A. Napier's co-authors include М. О. Дегтева, L.R. Anspaugh, Е. И. Толстых, M. I. Vorobiova, N. B. Shagina, Е. А. Шишкина, V. P. Kozheurov, N. G. Bougrov, Daniel O. Stram and Dale L. Preston and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Geological Society London Special Publications.

In The Last Decade

B.A. Napier

90 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B.A. Napier United States 21 746 470 414 164 111 95 1.2k
Likhtarev Ia Ukraine 22 512 0.7× 405 0.9× 530 1.3× 79 0.5× 60 0.5× 57 1.1k
L.R. Anspaugh United States 28 951 1.3× 1.0k 2.1× 1.2k 2.9× 228 1.4× 158 1.4× 103 2.2k
А. V. Akleyev Russia 21 1.8k 2.4× 497 1.1× 400 1.0× 293 1.8× 53 0.5× 106 2.4k
М. О. Дегтева Russia 28 1.3k 1.7× 884 1.9× 762 1.8× 422 2.6× 392 3.5× 129 2.2k
Mariagabriella Pugliese Italy 23 420 0.6× 711 1.5× 237 0.6× 341 2.1× 36 0.3× 137 1.6k
D.L. Henshaw United Kingdom 18 365 0.5× 562 1.2× 191 0.5× 224 1.4× 14 0.1× 71 1.2k
Ronald L. Kathren United States 18 633 0.8× 606 1.3× 430 1.0× 136 0.8× 18 0.2× 99 1.1k
W. Burkart Switzerland 20 490 0.7× 644 1.4× 385 0.9× 83 0.5× 33 0.3× 80 1.6k
Ausrele Kesminiene France 23 1.3k 1.7× 542 1.2× 345 0.8× 61 0.4× 22 0.2× 58 1.9k
M.E. Wrenn United States 18 304 0.4× 527 1.1× 408 1.0× 247 1.5× 29 0.3× 88 1.0k

Countries citing papers authored by B.A. Napier

Since Specialization
Citations

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

Fields of papers citing papers by B.A. Napier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B.A. Napier

This figure shows the co-authorship network connecting the top 25 collaborators of B.A. Napier. A scholar is included among the top collaborators of B.A. Napier 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 B.A. Napier. B.A. Napier 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.
Толстых, Е. И., et al.. (2025). Stochastic parametric skeletal dosimetry model for humans: Anatomical-morphological basis and parameter evaluation. PLoS ONE. 20(7). e0327156–e0327156. 1 indexed citations
2.
Шишкина, Е. А., et al.. (2025). Stochastic parametric skeletal dosimetry model for humans: Pediatric and adult computational skeleton phantoms for internal bone marrow dosimetry. PLoS ONE. 20(7). e0327479–e0327479. 1 indexed citations
3.
Шишкина, Е. А., М. О. Дегтева, & B.A. Napier. (2023). EPR-based uncertainty validation of the calculated external doses for population exposed in the urals region. Radiation Protection Dosimetry. 199(14). 1586–1590. 1 indexed citations
4.
Дегтева, М. О., B.A. Napier, Е. И. Толстых, et al.. (2019). Individual Dose Distribution in Cohort of People Exposed as a Result of Radioactive Contamination of the Techa River. Medical Radiology and radiation safety. 46–53. 15 indexed citations
5.
Zhang, Zhuo, Dale L. Preston, M.E. Sokolnikov, et al.. (2017). Correction of confidence intervals in excess relative risk models using Monte Carlo dosimetry systems with shared errors. PLoS ONE. 12(4). e0174641–e0174641. 33 indexed citations
6.
Napier, B.A., et al.. (2017). Calculations of individual doses for Techa River Cohort members exposed to atmospheric radioiodine from Mayak releases. Journal of Environmental Radioactivity. 178-179. 156–167. 9 indexed citations
7.
Толстых, Е. И., Е. А. Шишкина, N. B. Shagina, et al.. (2015). RESULTS OF IN VIVO MEASUREMENTS OF STRONTIUM-90 BODY-BURDEN IN URALS RESIDENTS: ANALYSES OF DATA OBTAINED IN 2006–2012. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Stram, Daniel O., Dale L. Preston, M.E. Sokolnikov, et al.. (2015). Shared Dosimetry Error in Epidemiological Dose-Response Analyses. PLoS ONE. 10(3). e0119418–e0119418. 32 indexed citations
9.
Bouville, André, Richard E. Toohey, John D. Boice, et al.. (2014). Dose Reconstruction for the Million Worker Study. Health Physics. 108(2). 206–220. 61 indexed citations
10.
Napier, B.A., et al.. (2012). Mapping the geological space beneath your feet The journey from 2D paper to 3D digital spatial data. International Conference on Information Society. 99–102. 6 indexed citations
11.
Shagina, N. B., M. I. Vorobiova, М. О. Дегтева, et al.. (2012). Reconstruction of the contamination of the Techa River in 1949–1951 as a result of releases from the “MAYAK” Production Association. Radiation and Environmental Biophysics. 51(4). 349–366. 30 indexed citations
12.
Толстых, Е. И., N. B. Shagina, М. О. Дегтева, L.R. Anspaugh, & B.A. Napier. (2011). Does the cortical bone resorption rate change due to 90Sr-radiation exposure? Analysis of data from Techa Riverside residents. Radiation and Environmental Biophysics. 50(3). 417–430. 8 indexed citations
13.
Akleyev, А. V., L. Yu. Krestinina, Dale L. Preston, et al.. (2008). Radiogenic Risk of Malignant Neoplasms for Techa Riverside Residents. 53(6). 2 indexed citations
14.
Szecsody, Jim E., et al.. (2005). Factors Effecting the Fate and Transport of CL-20 in the Vadose Zone and Groundwater. Defense Technical Information Center (DTIC).
15.
16.
Napier, B.A.. (1999). Radiological Conditions at the Semipalatinsk Test Site, Kazakhstan: Preliminary Assessment and Recommendations for Further Study. Health Physics. 77(1). 20 indexed citations
17.
Napier, B.A.. (1999). Radiological Conditions of the Western Kara Sea: Assessment of the Radiological Impact of the Dumping of Radioactive Waste in the Arctic Seas. Health Physics. 77(1). 2 indexed citations
18.
Napier, B.A.. (1999). Half a Century of Nordic Nuclear Co-operation - An Insider's Recollections. Health Physics. 76(4). 3 indexed citations
19.
Napier, B.A., et al.. (1996). Radiation Doses from Hanford Site Releases to the Atmosphere and the Columbia River. Health Physics. 71(4). 588–601. 21 indexed citations
20.
Napier, B.A., et al.. (1989). Estimated doses from decommissioning activities at commercial nuclear power stations. Transactions of the American Nuclear Society. 59. 1 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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