R. Benz

2.0k total citations
50 papers, 1.5k citations indexed

About

R. Benz is a scholar working on Computational Theory and Mathematics, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, R. Benz has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 11 papers in Cancer Research and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in R. Benz's work include Computational Drug Discovery Methods (14 papers), Carcinogens and Genotoxicity Assessment (11 papers) and Genetically Modified Organisms Research (6 papers). R. Benz is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Carcinogens and Genotoxicity Assessment (11 papers) and Genetically Modified Organisms Research (6 papers). R. Benz collaborates with scholars based in United States, Germany and United Kingdom. R. Benz's co-authors include Joseph F. Contrera, Edwin J. Matthews, Naomi L. Kruhlak, Michael C. Cimino, C Lauritzen, Roy Moncayo, E. Heinze, A.P. Wolf, Hongfei Zhou and Thomas Colatsky and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Environmental Health Perspectives.

In The Last Decade

R. Benz

48 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Benz United States 24 581 343 335 222 209 50 1.5k
Alexander Amberg Germany 23 250 0.4× 518 1.5× 309 0.9× 220 1.0× 149 0.7× 38 1.4k
Luis G. Valerio United States 19 323 0.6× 416 1.2× 101 0.3× 127 0.6× 196 0.9× 47 1.3k
Yasuo Ohno Japan 22 339 0.6× 731 2.1× 273 0.8× 285 1.3× 365 1.7× 68 1.7k
David R. Plowchalk United States 20 114 0.2× 270 0.8× 149 0.4× 195 0.9× 330 1.6× 27 1.4k
Charlene A. McQueen United States 24 109 0.2× 755 2.2× 738 2.2× 379 1.7× 234 1.1× 66 1.8k
Shangara S. Dehal United States 19 97 0.2× 418 1.2× 115 0.3× 318 1.4× 584 2.8× 27 1.5k
Alan Wilson United States 26 162 0.3× 575 1.7× 227 0.7× 126 0.6× 245 1.2× 65 1.7k
Naomi L. Kruhlak United States 25 707 1.2× 351 1.0× 301 0.9× 225 1.0× 310 1.5× 40 1.4k
Edwin J. Matthews United States 23 746 1.3× 318 0.9× 443 1.3× 288 1.3× 253 1.2× 48 1.4k
David M. Stresser United States 29 296 0.5× 822 2.4× 120 0.4× 200 0.9× 1.4k 6.5× 54 2.5k

Countries citing papers authored by R. Benz

Since Specialization
Citations

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

Fields of papers citing papers by R. Benz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Benz. 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 R. Benz. The network helps show where R. Benz may publish in the future.

Co-authorship network of co-authors of R. Benz

This figure shows the co-authorship network connecting the top 25 collaborators of R. Benz. A scholar is included among the top collaborators of R. Benz 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 R. Benz. R. Benz 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.
Kruhlak, Naomi L., R. Benz, Hongfei Zhou, & Thomas Colatsky. (2012). (Q)SAR Modeling and Safety Assessment in Regulatory Review. Clinical Pharmacology & Therapeutics. 91(3). 529–534. 70 indexed citations
4.
Valerio, Luis G., et al.. (2009). Testing computational toxicology models with phytochemicals. Molecular Nutrition & Food Research. 54(2). 186–194. 13 indexed citations
5.
Matthews, Edwin J., Naomi L. Kruhlak, R. Benz, & Joseph F. Contrera. (2007). A comprehensive model for reproductive and developmental toxicity hazard identification: I. Development of a weight of evidence QSAR database. Regulatory Toxicology and Pharmacology. 47(2). 115–135. 33 indexed citations
6.
Matthews, Edwin J., Naomi L. Kruhlak, R. Benz, et al.. (2006). A comprehensive model for reproductive and developmental toxicity hazard identification: II. Construction of QSAR models to predict activities of untested chemicals. Regulatory Toxicology and Pharmacology. 47(2). 136–155. 50 indexed citations
7.
Contrera, Joseph F., Edwin J. Matthews, Naomi L. Kruhlak, & R. Benz. (2005). In silico screening of chemicals for bacterial mutagenicity using electrotopological E-state indices and MDL QSAR software. Regulatory Toxicology and Pharmacology. 43(3). 313–323. 42 indexed citations
8.
Matthews, Edwin J., Naomi L. Kruhlak, Michael C. Cimino, R. Benz, & Joseph F. Contrera. (2005). An analysis of genetic toxicity, reproductive and developmental toxicity, and carcinogenicity data: II. Identification of genotoxicants, reprotoxicants, and carcinogens using in silico methods. Regulatory Toxicology and Pharmacology. 44(2). 97–110. 71 indexed citations
9.
Matthews, Edwin J., Naomi L. Kruhlak, James L. Weaver, R. Benz, & Joseph F. Contrera. (2004). Assessment of the Health Effects of Chemicals in Humans: II. Construction of an Adverse Effects Database for QSAR Modeling. Current Drug Discovery Technologies. 1(4). 243–254. 28 indexed citations
10.
Contrera, Joseph F., Edwin J. Matthews, Naomi L. Kruhlak, & R. Benz. (2004). Estimating the safe starting dose in phase I clinical trials and no observed effect level based on QSAR modeling of the human maximum recommended daily dose. Regulatory Toxicology and Pharmacology. 40(3). 185–206. 66 indexed citations
11.
Contrera, Joseph F., Edwin J. Matthews, & R. Benz. (2003). Predicting the carcinogenic potential of pharmaceuticals in rodents using molecular structural similarity and E-state indices. Regulatory Toxicology and Pharmacology. 38(3). 243–259. 79 indexed citations
12.
Rossmanith, Winfried G., Brad Schenkel, & R. Benz. (1994). Role of androgens in the regulation of the human menstrual cycle. Gynecological Endocrinology. 8(3). 151–159. 9 indexed citations
13.
Szilágyi, András, R. Benz, & W. G. Rossmanith. (1993). Human chorionic gonadotropin secretion from the early human placenta: In vitro regulation by progesterone and its antagonist. Gynecological Endocrinology. 7(4). 241–250. 5 indexed citations
15.
Szilágyi, András, R. Benz, & Winfried G. Rossmanith. (1992). The human first-term placenta in vitro: Regulation of hCG secretion by GnRH and its antagonist. Gynecological Endocrinology. 6(4). 293–300. 10 indexed citations
16.
Rossmanith, W. G., R. Benz, & C Lauritzen. (1992). Role of Frequency and Amplitude of Repetitive HCG Stimulations for Sustained Progesterone Secretion from the Bovine Corpus LuteumIn Vitro. Hormone and Metabolic Research. 24(2). 63–69. 5 indexed citations
17.
Benz, R., et al.. (1991). Priority-based assessment of food additives database of the U.S. Food and Drug Administration Center for Food Safety and Applied Nutrition.. Environmental Health Perspectives. 96. 85–89. 8 indexed citations
18.
Sterzik, K., B. Rosenbusch, & R. Benz. (1989). Serum specific protein 1 and β‐human chorionic gonadotropin concentrations in patients with suspected ectopic pregnancies. International Journal of Gynecology & Obstetrics. 28(3). 253–256. 3 indexed citations
19.
Carsten, A.L., et al.. (1987). Cytogenetic analysis of mouse metaphase II oocytes following exposure to tritiated water.. PubMed. 111(3). 438–44. 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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