Jeffrey A. Kramer

1.7k total citations
38 papers, 1.1k citations indexed

About

Jeffrey A. Kramer is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Jeffrey A. Kramer has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 9 papers in Genetics. Recurrent topics in Jeffrey A. Kramer's work include Computational Drug Discovery Methods (9 papers), Animal Genetics and Reproduction (7 papers) and Carcinogens and Genotoxicity Assessment (5 papers). Jeffrey A. Kramer is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Animal Genetics and Reproduction (7 papers) and Carcinogens and Genotoxicity Assessment (5 papers). Jeffrey A. Kramer collaborates with scholars based in United States, United Kingdom and Japan. Jeffrey A. Kramer's co-authors include Stephen A. Krawetz, Dale L. Morris, John E. Sagartz, Kyle L. Kolaja, Sandra W. Curtiss, Eric A.G. Blomme, Roderick T. Bunch, Julio C. Dávila, Eric Peterson and Susan M. Wykes and has published in prestigious journals such as Journal of Biological Chemistry, Nature Reviews Drug Discovery and Analytical Biochemistry.

In The Last Decade

Jeffrey A. Kramer

38 papers receiving 1.0k citations

Peers

Jeffrey A. Kramer

GENET

CTM

PHARM

Tomoya Yamada Japan

Yingying Gao China

Jesús Sánchez‐Yagüe Spain

M. Eileen Dolan United States

David Otasek Canada

Qian Xie China

William D. Pennie United States

Pamela E. Blackshear United States

Raj K. Tiwari United States

William B. Mattes United States

Tomoya Yamada Japan

Jeffrey A. Kramer

501 ×0.9

256 ×1.3

GENET

27 ×0.2

CTM

103 ×0.7

266 ×2.0

PHARM

Citations per year, relative to Jeffrey A. Kramer Jeffrey A. Kramer (= 1×) peers Tomoya Yamada

Countries citing papers authored by Jeffrey A. Kramer

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey A. Kramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey A. Kramer. 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 Jeffrey A. Kramer. The network helps show where Jeffrey A. Kramer may publish in the future.

Co-authorship network of co-authors of Jeffrey A. Kramer

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

All Works

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20 of 20 papers shown

Gopinathan, Suma, Emily O’Neill, Lawrence A. Rodriguez, et al.. (2013). In vivo toxicology of excipients commonly employed in drug discovery in rats. Journal of Pharmacological and Toxicological Methods. 68(2). 284–295. 20 indexed citations

Kramer, Jeffrey A.. (2008). Designing safe drugs: what to consider?. Expert Opinion on Drug Discovery. 3(7). 707–713. 5 indexed citations

Kramer, Jeffrey A., John E. Sagartz, & Dale L. Morris. (2007). The application of discovery toxicology and pathology towards the design of safer pharmaceutical lead candidates. Nature Reviews Drug Discovery. 6(8). 636–649. 241 indexed citations

Kramer, Jeffrey A., et al.. (2006). Genomic-based biomarkers of drug-induced nephrotoxicity. Expert Opinion on Drug Metabolism & Toxicology. 2(1). 95–101. 22 indexed citations

Thompson, Karol L., Cynthia A. Afshari, Rupesh P. Amin, et al.. (2004). Identification of Platform-Independent Gene Expression Markers of Cisplatin Nephrotoxicity. Environmental Health Perspectives. 1 indexed citations

Thompson, Karol L., Cynthia A. Afshari, Rupesh P. Amin, et al.. (2004). Identification of platform-independent gene expression markers of cisplatin nephrotoxicity.. Environmental Health Perspectives. 112(4). 488–494. 57 indexed citations

Kramer, Jeffrey A., Syril Pettit, Rupesh P. Amin, et al.. (2004). Overview on the application of transcription profiling using selected nephrotoxicants for toxicology assessment.. Environmental Health Perspectives. 112(4). 460–464. 44 indexed citations

Kramer, Jeffrey A.. (2003). Omiga: A PC-Based Sequence Analysis Tool. Humana Press eBooks. 132. 31–45. 6 indexed citations

Kramer, Jeffrey A., Dustie N. Butteiger, Tracy L. Young‐Pearse, et al.. (2003). Transcription Profiling in Rat Liver in Response to Dietary Docosahexaenoic Acid Implicates Stearoyl-Coenzyme A Desaturase as a Nutritional Target for Lipid Lowering. Journal of Nutrition. 133(1). 57–66. 21 indexed citations

10.

Kolaja, Kyle L. & Jeffrey A. Kramer. (2002). Toxicogenomics: an opportunity to optimise drug development and safety evaluation. Expert Opinion on Drug Safety. 1(3). 275–286. 21 indexed citations

11.

Krawetz, Stephen A., Jeffrey A. Kramer, & John R. McCarrey. (1999). Reprogramming the male gamete genome: a window to successful gene therapy. Gene. 234(1). 1–9. 17 indexed citations

12.

Kramer, Jeffrey A., et al.. (1999). Temporal expression of the transgenic human protamine gene cluster. Fertility and Sterility. 71(4). 739–745. 7 indexed citations

13.

Kramer, Jeffrey A., Mark D. Adams, Gautam B. Singh, Norman A. Doggett, & Stephen A. Krawetz. (1998). A Matrix Associated Region Localizes the Human SOCS-1 Gene to Chromosome 16p13.13. Somatic Cell and Molecular Genetics. 24(2). 131–133. 14 indexed citations

14.

Kramer, Jeffrey A. & Stephen A. Krawetz. (1998). Genesis of a novel human sequence from the protamine PRM1 gene. Comparative Biochemistry and Physiology Part C Pharmacology Toxicology and Endocrinology. 120(3). 467–473. 11 indexed citations

15.

Kramer, Jeffrey A., Sizhong Zhang, Yuval Yaron, Yali Zhao, & Stephen A. Krawetz. (1997). Genetic Testing for Male Infertility: A Postulated Role for Mutations in Sperm Nuclear Matrix Attachment Regions. Genetic Testing. 1(2). 125–129. 24 indexed citations

16.

Kramer, Jeffrey A., et al.. (1997). The use of cloned repetitive sequences as hybridization competitors to detect single copy sequences. Genetic Analysis Biomolecular Engineering. 14(1). 13–15. 1 indexed citations

17.

Kramer, Jeffrey A.. (1997). RNA in spermatozoa: implications for the alternative haploid genome. Molecular Human Reproduction. 3(6). 473–478. 79 indexed citations

18.

Kramer, Jeffrey A. & Stephen A. Krawetz. (1996). Nuclear Matrix Interactions within the Sperm Genome. Journal of Biological Chemistry. 271(20). 11619–11622. 76 indexed citations

19.

Kramer, Jeffrey A. & Stephen A. Krawetz. (1995). Matrix-associated regions in haploid expressed domains. Mammalian Genome. 6(9). 677–679. 9 indexed citations

20.

Choudhary, Suresh, Susan M. Wykes, Jeffrey A. Kramer, et al.. (1995). A Haploid Expressed Gene Cluster Exists as a Single Chromatin Domain in Human Sperm. Journal of Biological Chemistry. 270(15). 8755–8762. 59 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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