Steven H. Robison

4.8k total citations
32 papers, 1.1k citations indexed

About

Steven H. Robison is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Steven H. Robison has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Steven H. Robison's work include DNA Repair Mechanisms (11 papers), Carcinogens and Genotoxicity Assessment (10 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). Steven H. Robison is often cited by papers focused on DNA Repair Mechanisms (11 papers), Carcinogens and Genotoxicity Assessment (10 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). Steven H. Robison collaborates with scholars based in United States, United Kingdom and Netherlands. Steven H. Robison's co-authors include Max Costa, Orazio Cantoni, Walter G. Bradley, Christina Cowan‐Ellsberry, John P. O’Neill, Richard J. Albertini, Janice A. Nicklas, Max Costa, Jon Scott Munzer and Michael F. Hughes and has published in prestigious journals such as Annals of Neurology, Environmental Health Perspectives and Annual Review of Genetics.

In The Last Decade

Steven H. Robison

32 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven H. Robison United States 18 452 358 331 105 102 32 1.1k
Kui Lea Park South Korea 20 518 1.1× 153 0.4× 228 0.7× 46 0.4× 75 0.7× 30 1.0k
Heiko U. Käfferlein Germany 23 624 1.4× 360 1.0× 254 0.8× 44 0.4× 85 0.8× 80 1.3k
Ronald A. Herbert United States 19 282 0.6× 235 0.7× 332 1.0× 16 0.2× 50 0.5× 42 1.1k
Fredine T. Lauer United States 23 571 1.3× 212 0.6× 422 1.3× 20 0.2× 47 0.5× 51 1.4k
Margaret M. Whalen United States 25 851 1.9× 161 0.4× 301 0.9× 29 0.3× 125 1.2× 101 1.9k
Yoki Mori Japan 18 683 1.5× 239 0.7× 231 0.7× 16 0.2× 84 0.8× 39 1.4k
Kouya Yamaki Japan 19 298 0.7× 89 0.2× 266 0.8× 27 0.3× 65 0.6× 52 956
Francisco Artacho‐Cordón Spain 26 919 2.0× 264 0.7× 210 0.6× 56 0.5× 67 0.7× 65 1.6k
Edwin Zwart Netherlands 21 192 0.4× 268 0.7× 428 1.3× 77 0.7× 84 0.8× 39 937
Ann‐Karin Olsen Norway 20 212 0.5× 249 0.7× 377 1.1× 23 0.2× 110 1.1× 43 941

Countries citing papers authored by Steven H. Robison

Since Specialization
Citations

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

Fields of papers citing papers by Steven H. Robison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven H. Robison. 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 Steven H. Robison. The network helps show where Steven H. Robison may publish in the future.

Co-authorship network of co-authors of Steven H. Robison

This figure shows the co-authorship network connecting the top 25 collaborators of Steven H. Robison. A scholar is included among the top collaborators of Steven H. Robison 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 Steven H. Robison. Steven H. Robison 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.
Api, A.M., C. B. Barrett, Graham Ellis, et al.. (2017). Integrating habits and practices data for soaps, cosmetics and air care products into an existing aggregate exposure model. Regulatory Toxicology and Pharmacology. 88. 144–156. 34 indexed citations
2.
Arnold, Scott M., J. Angerer, Peter J. Boogaard, et al.. (2013). The use of biomonitoring data in exposure and human health risk assessment: benzene case study. Critical Reviews in Toxicology. 43(2). 119–153. 112 indexed citations
3.
Boogaard, Peter J., Scott M. Arnold, Michael F. Hughes, Paul S. Price, & Steven H. Robison. (2011). Biomarkers of benzene exposure and their interpretation for human health risk assessment. Toxicology Letters. 205. S257–S257. 1 indexed citations
4.
Cowan‐Ellsberry, Christina & Steven H. Robison. (2009). Refining Aggregate Exposure: Example using Parabens. Regulatory Toxicology and Pharmacology. 55(3). 321–329. 88 indexed citations
5.
Bahadori, Tina, Richard D. Phillips, Chris Money, et al.. (2007). Making sense of human biomonitoring data: Findings and recommendations of a workshop. Journal of Exposure Science & Environmental Epidemiology. 17(4). 308–313. 22 indexed citations
6.
Aardema, Marilyn J., et al.. (2007). An evaluation of the genotoxicity of the antitussive drug Dextromethorphan. Regulatory Toxicology and Pharmacology. 50(3). 285–293. 5 indexed citations
7.
Angerer, J., Michael G. Bird, Thomas A. Burke, et al.. (2006). Strategic Biomonitoring Initiatives: Moving the Science Forward. Toxicological Sciences. 93(1). 3–10. 72 indexed citations
8.
Robison, Steven H. & Dana Boyd Barr. (2006). Use of Biomonitoring Data to Evaluate Methyl Eugenol Exposure. Environmental Health Perspectives. 114(11). 1797–1801. 29 indexed citations
9.
Robison, Steven H., et al.. (1994). Assessment of the in vivo genotoxicity of 2‐hydroxy 4‐methoxybenzophenone. Environmental and Molecular Mutagenesis. 23(4). 312–317. 17 indexed citations
10.
11.
Robison, Steven H., Rup Tandan, & Walter G. Bradley. (1993). Repair of N-methylpurines in DNA from lymphocytes of patients with amyotrophic lateral sclerosis. Journal of the Neurological Sciences. 115(2). 201–207. 3 indexed citations
12.
Robison, Steven H., et al.. (1991). DNA repair and mutant frequency in schizophrenia. Mutation Research/DNA Repair. 255(3). 241–246. 8 indexed citations
13.
Bartlett, John D., David A. Scicchitano, & Steven H. Robison. (1991). Two expressed human genes sustain slightly more DNA damage after alkylating agent treatment than an inactive gene. Mutation Research/DNA Repair. 255(3). 247–256. 16 indexed citations
14.
15.
Albertini, Richard J., Janice A. Nicklas, John P. O’Neill, & Steven H. Robison. (1990). IN VIVO SOMATIC MUTATIONS IN HUMANS: MEASUREMENT AND ANALYSIS. Annual Review of Genetics. 24(1). 305–326. 164 indexed citations
16.
Scicchitano, David A., et al.. (1990). Measurements of Genomic and Gene-Specific DNA Repair of Alkylation Damage in Cultured Human T-Lymphocytes. PubMed. 53. 233–249. 1 indexed citations
17.
Jones, Susan, Linda E. Nee, Ronald J. Polinsky, et al.. (1989). Decreased DNA repair in familial Alzheimer's disease. Mutation Research/DNAging. 219(4). 247–255. 23 indexed citations
18.
Munzer, Jon Scott, et al.. (1988). Detection of DNA damage and repair by alkaline elution using human lymphocytes. Mutation Research/DNA Repair Reports. 194(2). 101–108. 5 indexed citations
19.
Robison, Steven H., et al.. (1987). Alzheimer's disease cells exhibit defective repair of alkylating agent—induced DNA damage. Annals of Neurology. 21(3). 250–258. 50 indexed citations
20.
Cantoni, Orazio, Nelwyn T. Christie, Steven H. Robison, & Max Costa. (1984). Characterization of DNA lesions produced by HgCl2 in cell culture systems. Chemico-Biological Interactions. 49(1-2). 209–224. 26 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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