Paul D. White

12.5k total citations · 1 hit paper
138 papers, 2.6k citations indexed

About

Paul D. White is a scholar working on Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Paul D. White has authored 138 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 13 papers in Health, Toxicology and Mutagenesis and 12 papers in Cancer Research. Recurrent topics in Paul D. White's work include Carcinogens and Genotoxicity Assessment (10 papers), Toxic Organic Pollutants Impact (7 papers) and Heavy Metal Exposure and Toxicity (4 papers). Paul D. White is often cited by papers focused on Carcinogens and Genotoxicity Assessment (10 papers), Toxic Organic Pollutants Impact (7 papers) and Heavy Metal Exposure and Toxicity (4 papers). Paul D. White collaborates with scholars based in United States, United Kingdom and Ireland. Paul D. White's co-authors include Ira Gore, Mandel E. Cohen, Christopher Fisher, N. Okabe, Edward F. Bland, James H. Currens, David W. Richards, Raymond Daley, Thomas W. Mattingly and Allan H. Marcus and has published in prestigious journals such as Science, New England Journal of Medicine and JAMA.

In The Last Decade

Paul D. White

121 papers receiving 2.1k citations

Hit Papers

ATHEROSCLEROSIS OF THE CAROTID AND VERTEBRAL ARTERIES—EXT... 1965 2026 1985 2005 1965 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul D. White United States 28 821 435 364 357 349 138 2.6k
C. Ralph Buncher United States 32 236 0.3× 274 0.6× 248 0.7× 936 2.6× 501 1.4× 89 3.4k
L. Douglas Case United States 37 628 0.8× 482 1.1× 517 1.4× 305 0.9× 113 0.3× 51 3.3k
Jonathan Newman United States 30 1.2k 1.5× 166 0.4× 226 0.6× 518 1.5× 435 1.2× 114 3.9k
Yao Lu China 31 873 1.1× 279 0.6× 499 1.4× 528 1.5× 211 0.6× 139 3.0k
Michael Boechler United States 11 3.8k 4.7× 259 0.6× 911 2.5× 249 0.7× 714 2.0× 16 5.3k
Hiroyuki Nakamura Japan 29 289 0.4× 289 0.7× 401 1.1× 282 0.8× 172 0.5× 201 2.8k
C N Martyn United Kingdom 35 306 0.4× 252 0.6× 351 1.0× 302 0.8× 515 1.5× 80 5.7k
Laurie LaBree United States 34 338 0.4× 382 0.9× 559 1.5× 344 1.0× 590 1.7× 63 4.1k
Shengfeng Wang China 26 314 0.4× 223 0.5× 356 1.0× 431 1.2× 303 0.9× 171 3.2k
Binyan Wang China 36 626 0.8× 442 1.0× 454 1.2× 363 1.0× 330 0.9× 219 4.3k

Countries citing papers authored by Paul D. White

Since Specialization
Citations

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

Fields of papers citing papers by Paul D. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul D. White. 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 Paul D. White. The network helps show where Paul D. White may publish in the future.

Co-authorship network of co-authors of Paul D. White

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. White. A scholar is included among the top collaborators of Paul D. White 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 Paul D. White. Paul D. White 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.
White, Paul D., et al.. (2023). Airborne respiratory aerosol transport and deposition in a two-person office using a novel diffusion-based numerical model. Journal of Exposure Science & Environmental Epidemiology. 34(2). 356–375. 3 indexed citations
2.
Nunn, Alex & Paul D. White. (2017). The IMF and a new global politics of inequality. Journal of Australian political economy. 186. 5 indexed citations
3.
Spassova, Maria A., David A. Eastmond, Suryanarayana V. Vulimiri, et al.. (2012). Dose‐response analysis of bromate‐induced DNA damage and mutagenicity is consistent with low‐dose linear, nonthreshold processes. Environmental and Molecular Mutagenesis. 54(1). 19–35. 13 indexed citations
4.
Gibb, Herman J., David W. Gaylor, Santhini Ramasamy, et al.. (2010). Utility of Recent Studies to Assess the National Research Council 2001 Estimates of Cancer Risk from Ingested Arsenic. Environmental Health Perspectives. 119(3). 284–290. 58 indexed citations
5.
Crump, Kenny S., Weihsueh A. Chiu, Thomas A. Louis, et al.. (2010). What Role for Biologically Based Dose–Response Models in Estimating Low-Dose Risk?. Environmental Health Perspectives. 118(5). 585–588. 31 indexed citations
6.
Burke, Thomas A., Francesca Dominici, Mary A. Fox, et al.. (2009). Linear Low-Dose Extrapolation for Non-Cancer Responses: Burke et al. Respond. Environmental Health Perspectives. 117(4). 5 indexed citations
7.
White, Paul D.. (2008). The Face of Physiology. SHILAP Revista de lepidopterología. 0(7). 1 indexed citations
8.
Clarke, Alex, et al.. (2007). Attitudes to facial transplantation of transplant professionals in the UK. UCL Discovery (University College London). 1 indexed citations
9.
Subramaniam, Ravi, Kenny S. Crump, Cynthia Van Landingham, et al.. (2007). Uncertainties in the CIIT Model for Formaldehyde‐Induced Carcinogenicity in the Rat: A Limited Sensitivity Analysis–I. Risk Analysis. 27(5). 1237–1254. 14 indexed citations
10.
Kopylev, Leonid, Chao Chen, & Paul D. White. (2007). Towards quantitative uncertainty assessment for cancer risks: Central estimates and probability distributions of risk in dose–response modeling. Regulatory Toxicology and Pharmacology. 49(3). 203–207. 9 indexed citations
11.
Subramaniam, Ravi, Paul D. White, & Vincent James Cogliano. (2006). Comparison of Cancer Slope Factors Using Different Statistical Approaches. Risk Analysis. 26(3). 825–830. 14 indexed citations
12.
Spary, Emma C. & Paul D. White. (2004). Food of paradise: Tahitian breadfruit and the autocritique of European consumption. Endeavour. 28(2). 75–80. 7 indexed citations
13.
Noller, B. N., Paul D. White, Dale Gilbert, et al.. (2003). A Review of the Environmental and Health Effects of Termiticides under Australian Conditions. Environmental Health. 3(4). 29–53. 7 indexed citations
14.
White, Paul D.. (1993). Essential fatty acids: use in management of canine atopy. Compendium on Continuing Education for The Practicing Veterinarian. 15(3). 451456. 9 indexed citations
15.
Hattis, Dale, Paul D. White, & Paul D. Koch. (1993). Uncertainties in Pharmacokinetic Modeling for Perchloroethylene: II. Comparison of Model Predictions with Data for a Variety of Different Parameters. Risk Analysis. 13(6). 599–610. 20 indexed citations
16.
Gunter, Joel B., et al.. (1992). Is the Pediatric Preoperative Hematocrit Determination Necessary?. Southern Medical Journal. 85(12). 1187–1189. 17 indexed citations
17.
Collier, R.J. & Paul D. White. (1976). Surface Waves in Microstrip Circuits. 632–636. 6 indexed citations
18.
White, Paul D.. (1958). The exciting times in which we live.. PubMed Central. 50(1). 1–7. 4 indexed citations
19.
White, Paul D., et al.. (1956). Hunting the heartbeat of a whale. National geographic/˜The œcomplete National geographic/˜The œNational geographic magazine. 110(1). 49–64. 5 indexed citations
20.
White, Paul D., et al.. (1953). 老人の疾病-老齢者1,251名の剖検簿中にみられた病的所見の分析. JAMA. 12(3). 115–120. 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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