Sandy Weiner

555 total citations
8 papers, 299 citations indexed

About

Sandy Weiner is a scholar working on Cancer Research, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Sandy Weiner has authored 8 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 3 papers in Oncology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Sandy Weiner's work include Carcinogens and Genotoxicity Assessment (4 papers), Computational Drug Discovery Methods (3 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). Sandy Weiner is often cited by papers focused on Carcinogens and Genotoxicity Assessment (4 papers), Computational Drug Discovery Methods (3 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). Sandy Weiner collaborates with scholars based in United States, United Kingdom and Switzerland. Sandy Weiner's co-authors include Mark Johnson, David C. Evans, Alfred Tonelli, P. OʼNeill, Daksha Desai‐Krieger, Peggy Guzzie‐Peck, Gary Eichenbaum, David Kirkland, Nigel Greene and Susanne Glowienke and has published in prestigious journals such as Cancer Research, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Regulatory Toxicology and Pharmacology.

In The Last Decade

Sandy Weiner

7 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sandy Weiner United States	6	92	78	77	62	48	8	299
Antonio Cassano Italy	8	126 1.4×	32 0.4×	19 0.2×	149 2.4×	125 2.6×	9	408
Natalja Fjodorova Slovenia	10	240 2.6×	27 0.3×	37 0.5×	97 1.6×	44 0.9×	23	379
Christine Akfur Sweden	12	149 1.6×	11 0.1×	83 1.1×	139 2.2×	113 2.4×	18	676
Claudia Cappelli Italy	12	122 1.3×	4 0.1×	50 0.6×	32 0.5×	126 2.6×	14	325
Rachael E. Tennant United Kingdom	9	38 0.4×	76 1.0×	33 0.4×	11 0.2×	136 2.8×	10	288
B. Herbold Germany	12	16 0.2×	209 2.7×	32 0.4×	68 1.1×	162 3.4×	28	513
Thomas M. Gray United States	10	9 0.1×	93 1.2×	54 0.7×	38 0.6×	110 2.3×	13	257
Donna S. Macmillan United Kingdom	11	49 0.5×	5 0.1×	129 1.7×	22 0.4×	22 0.5×	21	410
Lokesh Chandra Mishra India	12	68 0.7×	12 0.2×	268 3.5×	55 0.9×	14 0.3×	15	562
Rolf Schulte Oestrich United Kingdom	8	20 0.2×	26 0.3×	101 1.3×	53 0.9×	6 0.1×	10	256

Countries citing papers authored by Sandy Weiner

Since Specialization

Citations

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

Fields of papers citing papers by Sandy Weiner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandy Weiner

This figure shows the co-authorship network connecting the top 25 collaborators of Sandy Weiner. A scholar is included among the top collaborators of Sandy Weiner 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 Sandy Weiner. Sandy Weiner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Jonghe, Sandra De, Ellen E. Codd, Sandy Weiner, et al.. (2023). Preclinical safety assessment of JNJ-10450232 (NTM-006), a structural analog of acetaminophen, that does not cause hepatotoxicity at supratherapeutic doses. Regulatory Toxicology and Pharmacology. 161. 105334–105334. 7 indexed citations

Gaffney, Dana, Eileen Vesely, David Pocalyko, et al.. (2022). Abstract 1416: Aurora kinase is synthetic lethal with APC loss of function in engineered human colon organoid models. Cancer Research. 82(12_Supplement). 1416–1416.

Weiner, Sandy, Fetene Tekle, Helena Geys, et al.. (2020). Testing of acetaminophen in support of the international multilaboratory in vivo rat Pig‐a assay validation trial. Environmental and Molecular Mutagenesis. 61(5). 508–525. 2 indexed citations

Williams, Richard V., Alexander Amberg, Alessandro Brigo, et al.. (2016). It's difficult, but important, to make negative predictions. Regulatory Toxicology and Pharmacology. 76. 79–86. 43 indexed citations

Barber, Chris, Thierry Hanser, Jonathan D. Vessey, et al.. (2015). Evaluation of a statistics-based Ames mutagenicity QSAR model and interpretation of the results obtained. Regulatory Toxicology and Pharmacology. 76. 7–20. 35 indexed citations

Dobo, Krista L., Nigel Greene, Charlotta Fred, et al.. (2012). In silico methods combined with expert knowledge rule out mutagenic potential of pharmaceutical impurities: An industry survey. Regulatory Toxicology and Pharmacology. 62(3). 449–455. 62 indexed citations

Weiner, Sandy, et al.. (2010). Evaluation of a modified CD71 MicroFlow® method for the flow cytometric analysis of micronuclei in rat bone marrow erythrocytes. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 703(2). 122–129. 12 indexed citations

Eichenbaum, Gary, Mark Johnson, David Kirkland, et al.. (2009). Assessment of the genotoxic and carcinogenic risks of p-nitrophenol when it is present as an impurity in a drug product. Regulatory Toxicology and Pharmacology. 55(1). 33–42. 138 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.

Explore authors with similar magnitude of impact