Daniel M. Byrd

29 papers receiving 359 citations

Peers

Daniel M. Byrd
Comparison fields: 5 of 95
  • Health, Toxicology and Mutagenesis 193
  • Environmental Chemistry 131
  • Cancer Research 82
  • Developmental Neuroscience 15
  • Chemical Health and Safety 2
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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-authors

The 25 scholars most cited alongside Daniel M. Byrd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel M. Byrd Line = papers co-authored together Daniel M. Byrd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200483
2 199652
3 200039
4 198929
5
Introduction to Risk Analysis: A Systematic Approach to Science-Based Decision Making
200028
6
Bladder cancer and arsenic exposure: differences in the two populations enrolled in a study in southwest Taiwan.
200327
7 200923
8 200521
9 200716
10 197513
11 19749
12 19778
13 19898
14 20078
15
Do mouse liver tumors predict rat tumors? A study of concordance between tumors induced at different sites in rats and mice.
19906
16 19894
17 19744
18 19744
19 19753
20 19753

About Daniel M. Byrd

Daniel M. Byrd is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 399 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (6 papers), Arsenic contamination and mitigation (5 papers), Occupational and environmental lung diseases (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Bacteriophages and microbial interactions (2 papers), Viral Infections and Immunology Research (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (193 citations), Environmental Chemistry (131 citations), Cancer Research (82 citations), Developmental Neuroscience (15 citations) and Chemical Health and Safety (2 citations). Daniel M. Byrd has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Steven H. Lamm, Arnold Engel, Shenghan Lai, Richard Wilson, Manning Feinleib, Michael B. Kruse, C. Richard Cothern, Steven H. Lamm, Richard E. Wilson and James C. Griffiths. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Environmental Health Perspectives, Chemico-Biological Interactions, Human and Ecological Risk Assessment An International Journal and International Archives of Occupational and Environmental Health.

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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