Jeffrey Kiefer

4.4k total citations
60 papers, 2.0k citations indexed

About

Jeffrey Kiefer is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jeffrey Kiefer has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 19 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Jeffrey Kiefer's work include Cancer Genomics and Diagnostics (9 papers), Bioinformatics and Genomic Networks (7 papers) and RNA Interference and Gene Delivery (5 papers). Jeffrey Kiefer is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Bioinformatics and Genomic Networks (7 papers) and RNA Interference and Gene Delivery (5 papers). Jeffrey Kiefer collaborates with scholars based in United States, Switzerland and Canada. Jeffrey Kiefer's co-authors include David J. McConkey, Ariel Fernández, Mary C. Farach‐Carson, Spyro Mousses, Judith G. Hall, Susan Wright, Nouri Neamati, Mahdieh Khosroheidari, M. Lucrecia Alvarez and Jeffrey M. Trent and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Jeffrey Kiefer

58 papers receiving 2.0k citations

Peers

Jeffrey Kiefer

ONCOL

PRM

GENET

Stefan Hart Singapore

Mohit Trikha United States

Isabelle Corre France

Chang Hun Rhee South Korea

Michele Signore Italy

Ye Zhang China

Jérôme Tamburini France

Takaki Hiwasa Japan

Jan Bouchal Czechia

Nicolas Chapuis France

Stefan Hart Singapore

Jeffrey Kiefer

1.4k ×1.2

1.0k ×1.7

ONCOL

263 ×0.5

273 ×1.0

PRM

413 ×1.7

GENET

Citations per year, relative to Jeffrey Kiefer Jeffrey Kiefer (= 1×) peers Stefan Hart

Countries citing papers authored by Jeffrey Kiefer

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey Kiefer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Kiefer

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Kiefer. A scholar is included among the top collaborators of Jeffrey Kiefer 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 Kiefer. Jeffrey Kiefer 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

Kiefer, Jeffrey & Judith G. Hall. (2019). Gene ontology analysis of arthrogryposis (multiple congenital contractures). American Journal of Medical Genetics Part C Seminars in Medical Genetics. 181(3). 310–326. 36 indexed citations

Tew, Ben Yi, Christophe Legendre, Gerald Gooden, et al.. (2019). Isolation and characterization of patient-derived CNS metastasis-associated stromal cell lines. Oncogene. 38(21). 4002–4014. 10 indexed citations

Finlay, Darren, Hongwei Yin, William P.D. Hendricks, et al.. (2018). Network Rewiring in Cancer: Applications to Melanoma Cell Lines and the Cancer Genome Atlas Patients. Frontiers in Genetics. 9. 228–228. 3 indexed citations

Weiss, Glen J., Sara A. Byron, Jessica Aldrich, et al.. (2017). A prospective pilot study of genome-wide exome and transcriptome profiling in patients with small cell lung cancer progressing after first-line therapy. PLoS ONE. 12(6). e0179170–e0179170. 8 indexed citations

Peng, Sen, Brock Armstrong, Bodour Salhia, et al.. (2016). Integrated genomic analysis of survival outliers in glioblastoma. Neuro-Oncology. 19(6). now269–now269. 26 indexed citations

Keuren‐Jensen, Kendall Van, Ivana Malenica, Layla Ghaffari, et al.. (2015). micro RNA changes in liver tissue associated with fibrosis progression in patients with hepatitis C. Liver International. 36(3). 334–343. 31 indexed citations

Prados, Michael D., Sara A. Byron, Nhan L. Tran, et al.. (2015). Toward precision medicine in glioblastoma: the promise and the challenges. Neuro-Oncology. 17(8). 1051–1063. 157 indexed citations

Weiss, Glen J., Winnie S. Liang, Michael J. Demeure, et al.. (2013). A Pilot Study Using Next-Generation Sequencing in Advanced Cancers: Feasibility and Challenges. PLoS ONE. 8(10). e76438–e76438. 22 indexed citations

Jung, Sungwon, Jeffrey Kiefer, Daniel D. Von Hoff, et al.. (2013). Learning contextual gene set interaction networks of cancer with condition specificity. BMC Genomics. 14(1). 110–110. 3 indexed citations

10.

Farley, Toni, Jeffrey Kiefer, Daniel D. Von Hoff, et al.. (2012). The BioIntelligence Framework: a new computational platform for biomedical knowledge computing. Journal of the American Medical Informatics Association. 20(1). 128–133. 7 indexed citations

11.

Ruiz, Christian, Elizabeth Lenkiewicz, Lisa Evers, et al.. (2011). Advancing a clinically relevant perspective of the clonal nature of cancer. Proceedings of the National Academy of Sciences. 108(29). 12054–12059. 90 indexed citations

12.

Demeure, Michael J., Shripad Sinari, David W. Mount, et al.. (2011). Preclinical Investigation of Nanoparticle Albumin-Bound Paclitaxel as a Potential Treatment for Adrenocortical Cancer. Annals of Surgery. 255(1). 140–146. 18 indexed citations

13.

Kassner, Michelle, Rubén M. Muñoz, Qiang Que, et al.. (2011). Kinome-wide siRNA screening identifies molecular targets mediating the sensitivity of pancreatic cancer cells to Aurora kinase inhibitors. Biochemical Pharmacology. 83(4). 452–461. 21 indexed citations

14.

Arora, Shilpi, Christian Beaudry, Kristen Bisanz, et al.. (2010). A High-Content RNAi-Screening Assay to Identify Modulators of Cholesterol Accumulation in Niemann–Pick Type C Cells. Assay and Drug Development Technologies. 8(3). 295–319. 12 indexed citations

15.

Eidelman, Ofer, Catherine Jozwik, Wei Huang, et al.. (2010). Gender Dependence for a Subset of the Low-Abundance Signaling Proteome in Human Platelets. PubMed. 2(1). 164906–164906. 28 indexed citations

16.

Azorsa, David O., Gargi D. Basu, Ashish Choudhary, et al.. (2009). Synthetic lethal RNAi screening identifies sensitizing targets for gemcitabine therapy in pancreatic cancer. Journal of Translational Medicine. 7(1). 43–43. 82 indexed citations

17.

Basu, Gargi D., David O. Azorsa, Jeffrey Kiefer, et al.. (2008). Functional evidence implicating S100P in prostate cancer progression. International Journal of Cancer. 123(2). 330–339. 62 indexed citations

18.

Jarjanazi, Hamdi, Jeffrey Kiefer, Sevtap Savas, et al.. (2008). Discovery of genetic profiles impacting response to chemotherapy: application to gemcitabine. Human Mutation. 29(4). 461–467. 17 indexed citations

19.

Coleman, Ilsa M., Jeffrey Kiefer, Lisha G. Brown, et al.. (2006). Inhibition of Androgen-Independent Prostate Cancer by Estrogenic Compounds Is Associated with Increased Expression of Immune-Related Genes. Neoplasia. 8(10). 862–878. 26 indexed citations

20.

Iismaa, Tiina P., et al.. (1994). Isolation and Chromosomal Localization of a Novel Human G-Protein-Coupled Receptor (GPR3) Expressed Predominantly in the Central Nervous System. Genomics. 24(2). 391–394. 28 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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