Daniel M. Byrd

698 total citations
30 papers, 399 citations indexed

About

Daniel M. Byrd is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Cancer Research. According to data from OpenAlex, Daniel M. Byrd has authored 30 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 6 papers in Environmental Chemistry and 6 papers in Cancer Research. Recurrent topics in Daniel M. Byrd's work include Carcinogens and Genotoxicity Assessment (6 papers), Arsenic contamination and mitigation (5 papers) and Acute Lymphoblastic Leukemia research (3 papers). Daniel M. Byrd is often cited by papers focused on Carcinogens and Genotoxicity Assessment (6 papers), Arsenic contamination and mitigation (5 papers) and Acute Lymphoblastic Leukemia research (3 papers). Daniel M. Byrd collaborates with scholars based in United States, Switzerland and Canada. Daniel M. Byrd's co-authors include Steven H. Lamm, Arnold Engel, Shenghan Lai, Richard Wilson, Michael B. Kruse, Manning Feinleib, C. Richard Cothern, Steven H. Lamm, Richard E. Wilson and Hans Grünwald and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Daniel M. Byrd

29 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Byrd United States 10 193 131 82 70 55 30 399
Hugo Benítez Chile 5 206 1.1× 210 1.6× 52 0.6× 72 1.0× 38 0.7× 7 375
Sherman S. Pinto United States 9 138 0.7× 116 0.9× 59 0.7× 40 0.6× 29 0.5× 11 299
Minli Wei China 6 260 1.3× 340 2.6× 81 1.0× 231 3.3× 55 1.0× 10 623
Johnny Shinn Nan Lin Taiwan 11 209 1.1× 241 1.8× 56 0.7× 252 3.6× 28 0.5× 15 688
Ling-I Hsu Taiwan 15 323 1.7× 347 2.6× 48 0.6× 194 2.8× 58 1.1× 19 597
Tiffany Bredfeldt United States 10 232 1.2× 178 1.4× 81 1.0× 280 4.0× 15 0.3× 10 620
Annalisa Abballe Italy 16 571 3.0× 289 2.2× 106 1.3× 52 0.7× 45 0.8× 30 847
Ling‐I Hsu United States 12 222 1.2× 255 1.9× 55 0.7× 155 2.2× 46 0.8× 30 572
Tong‐Ming Lin United States 8 256 1.3× 336 2.6× 80 1.0× 138 2.0× 60 1.1× 11 605
Claudia González Chile 5 240 1.2× 239 1.8× 34 0.4× 67 1.0× 52 0.9× 15 398

Countries citing papers authored by Daniel M. Byrd

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Byrd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Byrd. 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 Daniel M. Byrd. The network helps show where Daniel M. Byrd may publish in the future.

Co-authorship network of co-authors of Daniel M. Byrd

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Byrd. A scholar is included among the top collaborators of Daniel M. Byrd 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 Daniel M. Byrd. Daniel M. Byrd 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.
Byrd, Daniel M. & Lester B. Lave. (2018). Narrowing the Range: A Framework for Risk Regulators. Issues in Science and Technology. 3(4). 92–7. 1 indexed citations
2.
Lave, Lester B. & Daniel M. Byrd. (2018). How Much Risk Is Acceptable?. Figshare.
3.
Lamm, Steven H., et al.. (2009). Chronic myelogenous leukemia and benzene exposure: A systematic review and meta-analysis of the case–control literature. Chemico-Biological Interactions. 182(2-3). 93–97. 23 indexed citations
4.
Lamm, Steven H., Zhendong Luo, Yemin Zhang, et al.. (2007). An Epidemiologic Study of Arsenic-Related Skin Disorders and Skin Cancer and the Consumption of Arsenic-Contaminated Well Waters in Huhhot, Inner Mongolia, China. Human and Ecological Risk Assessment An International Journal. 13(4). 713–746. 16 indexed citations
5.
Lamm, Steven H., Richard Wilson, Shenghan Lai, et al.. (2006). Skin cancer, skin lesions, and the inorganic arsenic content of well water in Huhhot, Inner Mongolia. Cancer Research. 66. 1070–1071. 1 indexed citations
6.
Lamm, Steven H., Arnold Engel, & Daniel M. Byrd. (2005). Non-Hodgkin lymphoma and benzene exposure: A systematic literature review. Chemico-Biological Interactions. 153-154. 231–237. 21 indexed citations
7.
Lamm, Steven H., Arnold Engel, Michael B. Kruse, et al.. (2004). Arsenic in Drinking Water and Bladder Cancer Mortality in the United States: An Analysis Based on 133 U.S. Counties and 30 Years of Observation. Journal of Occupational and Environmental Medicine. 46(3). 298–306. 83 indexed citations
8.
Lamm, Steven H., et al.. (2003). Bladder cancer and arsenic exposure: differences in the two populations enrolled in a study in southwest Taiwan.. PubMed. 16(4). 355–68. 27 indexed citations
9.
Li, Feng Xiao, et al.. (2000). Neonatal thyroid-stimulating hormone level and perchlorate in drinking water. Teratology. 62(6). 429–431. 39 indexed citations
10.
Byrd, Daniel M., et al.. (1998). Endocrine Modulation and the Federal Government. International Journal of Toxicology. 17(2). 111–128. 1 indexed citations
11.
Byrd, Daniel M., et al.. (1996). Carcinogenic risks of inorganic arsenic in perspective. International Archives of Occupational and Environmental Health. 68(6). 484–494. 52 indexed citations
12.
Byrd, Daniel M., Edmund A. C. Crouch, & Richard H. Wilson. (1990). Do mouse liver tumors predict rat tumors? A study of concordance between tumors induced at different sites in rats and mice.. PubMed. 331. 19–41. 6 indexed citations
13.
Lamm, Steven H., et al.. (1989). Consistencies and inconsistencies underlying the quantitative assessment of leukemia risk from benzene exposure.. Environmental Health Perspectives. 82. 289–297. 29 indexed citations
14.
15.
Lamm, Steven H., et al.. (1989). Consistencies and Inconsistencies Underlying the Quantitative Assessment of Leukemia Risk from Benzene Exposure. Environmental Health Perspectives. 82. 289–289. 8 indexed citations
16.
Byrd, Daniel M.. (1988). Ethel Browning's Toxicology and Metabolism of Industrial Solvents. Journal of the American College of Toxicology. 7(2). 243–243. 2 indexed citations
17.
Byrd, Daniel M.. (1988). Symposium VI: New Statistical Approaches to the Qualitative Interpretation of Toxicology Data. Journal of the American College of Toxicology. 7(5). 559–563. 1 indexed citations
18.
Byrd, Daniel M.. (1977). ANTIVIRAL ACTIVITIES OF 4′‐(9‐ACRIDINYLAMINO)‐METHANESULFON‐M‐ANISIDE (SN11841). Annals of the New York Academy of Sciences. 284(1). 463–471. 8 indexed citations
19.
Byrd, Daniel M. & William H. Prusoff. (1976). The effect of 5-Iodouracil on the growth and biosynthetic processes of bacteriophage T4td8 in the absence of light. Chemico-Biological Interactions. 12(2). 197–210. 1 indexed citations
20.
Byrd, Daniel M. & William H. Prusoff. (1975). Multiplicity Reactivation of 5-Iodouracil-Substituted, Nonviable Bacteriophage T4 td 8. Antimicrobial Agents and Chemotherapy. 8(5). 558–563. 3 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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