T B Starr

14 papers receiving 607 citations

Peers

T B Starr
Comparison fields: 5 of 103
  • Chemical Health and Safety 15
  • Cancer Research 263
  • Health, Toxicology and Mutagenesis 211
  • Process Chemistry and Technology 13
  • Molecular Biology 233
Replace Mark J. Seaton with:
Mark J. Seaton United States
Ivan D. Dobrev United States
Adriano Ciliberti Italy
Arthur C. Peters United States
Ronald L. Persing United States
Jeanne Y. Domoradzki United States
Georgia M. Farris United States
E. E. McConnell United States
Abby Jacobs United States
Miriam C. Poirier United States
T B Starr relative to Mark J. Seaton United States Mark J. Seaton's profile →
Citations per field
00.5×2×4×6.3×
Mark J. Seaton · 1×
Citations per year

Countries citing papers authored by T B Starr

Since Specialization
Citations

This map shows the geographic impact of T B Starr'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 T B Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T B Starr more than expected).

Fields of papers citing papers by T B Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T B Starr, 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 T B Starr Line = papers co-authored together T B Starr links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2010294
2 198379
3 201370
4 198164
5 198525
6
Superiority of reproductive histories to sperm counts in detecting infertility at a dibromochloropropane manufacturing plant.
198322
7 200122
8 199321
9 200121
10 198315
11 199914
12
Assessing exposure to dinitrotoluene using a biological monitor.
19857
13 20033
14 19883

About T B Starr

T B Starr is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Computational Theory and Mathematics, Agronomy and Crop Science and Pollution, having authored 14 papers that have together received 660 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (6 papers), Toxic Organic Pollutants Impact (4 papers), Air Quality and Health Impacts (3 papers), Computational Drug Discovery Methods (2 papers), Pesticide Exposure and Toxicity (2 papers), Indoor Air Quality and Microbial Exposure (2 papers), Inhalation and Respiratory Drug Delivery (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Chemical Health and Safety (15 citations), Cancer Research (263 citations), Health, Toxicology and Mutagenesis (211 citations), Process Chemistry and Technology (13 citations) and Molecular Biology (233 citations). T B Starr has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include James A. Swenberg, Jun Nakamura, Benjamin C. Moeller, Kun Lü, David R. Dantzker, Matthias F. Bechtel, James S. Bower, Joanna Gibson, Craig J. Boreiko and Kevin T. Morgan. Their work appears in journals such as Environmental Health Perspectives, Toxicological Sciences, Regulatory Toxicology and Pharmacology, The Annual Review of Pharmacology and Toxicology and Critical Reviews in Toxicology.

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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