Jeffrey R. LaDuca

796 total citations
18 papers, 607 citations indexed

About

Jeffrey R. LaDuca is a scholar working on Molecular Biology, Genetics and Dermatology. According to data from OpenAlex, Jeffrey R. LaDuca has authored 18 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Dermatology. Recurrent topics in Jeffrey R. LaDuca's work include Genomic variations and chromosomal abnormalities (5 papers), Cell Adhesion Molecules Research (3 papers) and Genomics and Chromatin Dynamics (3 papers). Jeffrey R. LaDuca is often cited by papers focused on Genomic variations and chromosomal abnormalities (5 papers), Cell Adhesion Molecules Research (3 papers) and Genomics and Chromatin Dynamics (3 papers). Jeffrey R. LaDuca collaborates with scholars based in United States, Japan and Taiwan. Jeffrey R. LaDuca's co-authors include Anthony A. Gaspari, Norma J. Nowak, John K. Cowell, Sei‐Ichi Matsui, Jeffrey M. Conroy, Jayne Love, Syamalima Dube, Michael R. Rossi, Bernard J. Poiesz and Alvin E. Friedman‐Kien and has published in prestigious journals such as New England Journal of Medicine, The Journal of Infectious Diseases and Human Molecular Genetics.

In The Last Decade

Jeffrey R. LaDuca

16 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey R. LaDuca United States 11 241 178 129 126 92 18 607
Kaijin Wu United States 18 366 1.5× 109 0.6× 127 1.0× 197 1.6× 60 0.7× 29 819
Noushin Mossadegh‐Keller France 11 467 1.9× 59 0.3× 175 1.4× 44 0.3× 74 0.8× 16 1.2k
Linda Kelley United States 20 438 1.8× 78 0.4× 372 2.9× 55 0.4× 29 0.3× 40 1.1k
Silvana Guerneri Italy 17 357 1.5× 406 2.3× 71 0.6× 76 0.6× 23 0.3× 50 902
Gopalakrishnan M. Venkataraman United States 13 289 1.2× 118 0.7× 178 1.4× 31 0.2× 161 1.8× 19 891
Annabella Procoli Italy 14 271 1.1× 41 0.2× 368 2.9× 27 0.2× 56 0.6× 19 826
Véronique Adoue France 15 377 1.6× 161 0.9× 90 0.7× 34 0.3× 75 0.8× 21 809
Hrishikesh Mehta United States 10 192 0.8× 91 0.5× 139 1.1× 15 0.1× 41 0.4× 24 595
Laura L. Yates United Kingdom 16 550 2.3× 139 0.8× 63 0.5× 33 0.3× 37 0.4× 24 863
Marjorie Flahaut Switzerland 18 639 2.7× 55 0.3× 261 2.0× 18 0.1× 97 1.1× 26 1.0k

Countries citing papers authored by Jeffrey R. LaDuca

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey R. LaDuca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey R. LaDuca

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

All Works

18 of 18 papers shown
1.
Barrios, Dulce M. & Jeffrey R. LaDuca. (2017). Lingual Papillomas. New England Journal of Medicine. 377(15). e22–e22.
2.
Head, Karen, Shiaoching Gong, Michael R. Rossi, et al.. (2007). Defining the expression pattern of the LGI1 gene in BAC transgenic mice. Mammalian Genome. 18(5). 328–337. 55 indexed citations
3.
Li, Zhongyou, Tao Yu, Masae Morishima, et al.. (2007). Duplication of the entire 22.9 Mb human chromosome 21 syntenic region on mouse chromosome 16 causes cardiovascular and gastrointestinal abnormalities. Human Molecular Genetics. 16(11). 1359–1366. 144 indexed citations
4.
Lo, Ken C., Michael R. Rossi, Jeffrey R. LaDuca, et al.. (2007). Candidate glioblastoma development gene identification using concordance between copy number abnormalities and gene expression level changes. Genes Chromosomes and Cancer. 46(10). 875–894. 26 indexed citations
5.
Matsui, Sei‐Ichi, Jeffrey R. LaDuca, Michael R. Rossi, Norma J. Nowak, & John K. Cowell. (2005). Molecular characterization of a consistent 4.5-megabase deletion at 4q28 in prostate cancer cells. Cancer Genetics and Cytogenetics. 159(1). 18–26. 12 indexed citations
6.
Cowell, John K., et al.. (2005). Molecular characterization of the t(3;9) associated with immortalization in the MCF10A cell line. Cancer Genetics and Cytogenetics. 163(1). 23–29. 50 indexed citations
7.
Rossi, Michael R., Daniel P. Gaile, Jeffrey R. LaDuca, et al.. (2005). Identification of consistent novel submegabase deletions in low‐grade oligodendrogliomas using array‐based comparative genomic hybridization. Genes Chromosomes and Cancer. 44(1). 85–96. 30 indexed citations
8.
Cowell, John K., Sei‐Ichi Matsui, Jeffrey R. LaDuca, et al.. (2004). Application of bacterial artificial chromosome array-based comparative genomic hybridization and spectral karyotyping to the analysis of glioblastoma multiforme. Cancer Genetics and Cytogenetics. 151(1). 36–51. 55 indexed citations
9.
Nakamura, Hiroyuki, Daisuke Sawamura, Maki Goto, et al.. (2004). The G2028R glycine substitution mutation in COL7A1 leads to marked inter-familiar clinical heterogeneity in dominant dystrophic epidermolysis bullosa. Journal of Dermatological Science. 34(3). 195–200. 28 indexed citations
10.
LaDuca, Jeffrey R., et al.. (2002). Nonsteroidal Antiinflammatory Drug-Induced Pseudoporphyria: A Case Series. Journal of Cutaneous Medicine and Surgery. 6(4). 320–326. 14 indexed citations
11.
LaDuca, Jeffrey R., et al.. (2002). Nonsteroidal Antiinflammatory Drug-Induced Pseudoporphyria: A Case Series. Journal of Cutaneous Medicine and Surgery. 6(4). 320–326. 10 indexed citations
12.
LaDuca, Jeffrey R. & Anthony A. Gaspari. (2001). TARGETING TUMOUR NECROSIS FACTOR ALPHA. Dermatologic Clinics. 19(4). 617–635. 69 indexed citations
13.
Rumbaugh, Jeffrey A., et al.. (2000). CADASIL: The dermatologic diagnosis of a neurologic disease. Journal of the American Academy of Dermatology. 43(6). 1128–1130. 6 indexed citations
14.
Rumbaugh, Jeffrey A., et al.. (2000). CADASIL: The dermatologic diagnosis of a neurologic disease. Journal of the American Academy of Dermatology. 43(6). 1128–1130. 10 indexed citations
15.
LaDuca, Jeffrey R., Jayne Love, Lynn Abbott, et al.. (1998). Detection of Human Herpesvirus 8 DNA Sequences in Tissues and Bodily Fluids. The Journal of Infectious Diseases. 178(6). 1610–1615. 91 indexed citations
16.
LaDuca, Jeffrey R. & Dilip Kumar Sinha. (1996). Tumorigenesis of rat mammary epithelial cells by N-nitroso-N-methylurea in anin vitro system: Characterization of the microtumors. In Vitro Cellular & Developmental Biology - Animal. 32(4). 204–210. 3 indexed citations
17.
LaDuca, Jeffrey R., et al.. (1996). Oncogenes and tumor suppressor genes in human breast cancer. 10. 1–28. 1 indexed citations
18.
LaDuca, Jeffrey R. & Dilip Kumar Sinha. (1993). In vitro carcinogenesis of mammary epithelial cells byN-nitroso-N-methylurea using a collagen gel matrix culture. In Vitro Cellular & Developmental Biology - Animal. 29(10). 789–794. 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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