Jennifer S. Lee

2.8k total citations
18 papers, 712 citations indexed

About

Jennifer S. Lee is a scholar working on Genetics, Epidemiology and Molecular Biology. According to data from OpenAlex, Jennifer S. Lee has authored 18 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Jennifer S. Lee's work include Herpesvirus Infections and Treatments (7 papers), Estrogen and related hormone effects (5 papers) and Virus-based gene therapy research (4 papers). Jennifer S. Lee is often cited by papers focused on Herpesvirus Infections and Treatments (7 papers), Estrogen and related hormone effects (5 papers) and Virus-based gene therapy research (4 papers). Jennifer S. Lee collaborates with scholars based in United States, Switzerland and Japan. Jennifer S. Lee's co-authors include Richard J. Santen, Frank Z. Stanczyk, Priya Raja, David M. Knipe, Jean M. Pesola, Donald M. Coen, Dongli Pan, Angela S. Pechenino, James P. Stice and Anne A. Knowlton and has published in prestigious journals such as Journal of Bone and Mineral Research, Science Translational Medicine and Genomics.

In The Last Decade

Jennifer S. Lee

17 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer S. Lee United States 14 301 201 197 146 143 18 712
Kevin D. Burroughs United States 13 283 0.9× 67 0.3× 191 1.0× 137 0.9× 56 0.4× 20 802
Eyvind J. Paulssen Norway 19 159 0.5× 194 1.0× 271 1.4× 41 0.3× 70 0.5× 46 886
Madia Charlier France 17 183 0.6× 103 0.5× 215 1.1× 148 1.0× 23 0.2× 33 900
Risu Na China 11 175 0.6× 93 0.5× 235 1.2× 52 0.4× 27 0.2× 53 676
Michael Byers United States 11 373 1.2× 43 0.2× 354 1.8× 82 0.6× 70 0.5× 18 829
Martin Plante Canada 17 85 0.3× 271 1.3× 198 1.0× 40 0.3× 98 0.7× 30 785
Sudhir Krishna India 11 87 0.3× 71 0.4× 250 1.3× 91 0.6× 93 0.7× 17 596
Gleydes G. Parreira Brazil 15 138 0.5× 146 0.7× 291 1.5× 22 0.2× 80 0.6× 22 788
L. Edward Clemens United States 14 102 0.3× 64 0.3× 306 1.6× 35 0.2× 94 0.7× 19 821
Makoto Iwasaki Japan 17 84 0.3× 55 0.3× 294 1.5× 136 0.9× 85 0.6× 70 861

Countries citing papers authored by Jennifer S. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer S. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer S. Lee. 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 Jennifer S. Lee. The network helps show where Jennifer S. Lee may publish in the future.

Co-authorship network of co-authors of Jennifer S. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer S. Lee. A scholar is included among the top collaborators of Jennifer S. Lee 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 Jennifer S. Lee. Jennifer S. Lee 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.
Oh, Hyung Suk, Priya Raja, Biswajit Das, et al.. (2025). Validation of human sensory neurons derived from inducible pluripotent stem cells as a model for latent infection and reactivation by herpes simplex virus 1. mBio. 16(9). e0187125–e0187125. 1 indexed citations
2.
Crawford, Timothy N., et al.. (2024). Lifestyle Medicine Implementation in Family Medicine Clinic. American Journal of Lifestyle Medicine. 2994237540–2994237540.
3.
Lee, Jennifer S., et al.. (2023). Seneca Valley virus replicons are packaged in trans and have the capacity to overcome the limitations of viral transgene expression. Molecular Therapy — Oncolytics. 28. 321–333. 2 indexed citations
4.
Haines, Brian B., Jennifer S. Lee, Lingxin Kong, et al.. (2020). ONCR-177, an Oncolytic HSV-1 Designed to Potently Activate Systemic Antitumor Immunity. Cancer Immunology Research. 9(3). 291–308. 54 indexed citations
5.
Kennedy, Edward M., Jennifer S. Lee, Damian G. Deavall, et al.. (2020). Design of an Interferon-Resistant Oncolytic HSV-1 Incorporating Redundant Safety Modalities for Improved Tolerability. Molecular Therapy — Oncolytics. 18. 476–490. 20 indexed citations
6.
Lee, Jennifer S., Priya Raja, Dongli Pan, et al.. (2018). CCCTC-Binding Factor Acts as a Heterochromatin Barrier on Herpes Simplex Viral Latent Chromatin and Contributes to Poised Latent Infection. mBio. 9(1). 46 indexed citations
7.
Chang, Po-Yin, David Feldman, Marcia L. Stefanick, et al.. (2018). 27-Hydroxycholesterol, an Endogenous SERM, and Risk of Fracture in Postmenopausal Women: A Nested Case-Cohort Study in the Women's Health Initiative. Journal of Bone and Mineral Research. 34(1). 59–66. 13 indexed citations
8.
Knipe, David M., Priya Raja, & Jennifer S. Lee. (2017). Viral gene products actively promote latent infection by epigenetic silencing mechanisms. Current Opinion in Virology. 23. 68–74. 17 indexed citations
9.
Raja, Priya, Jennifer S. Lee, Dongli Pan, et al.. (2016). A Herpesviral Lytic Protein Regulates the Structure of Latent Viral Chromatin. mBio. 7(3). 35 indexed citations
10.
Lee, Jennifer S., Priya Raja, & David M. Knipe. (2016). Herpesviral ICP0 Protein Promotes Two Waves of Heterochromatin Removal on an Early Viral Promoter during Lytic Infection. mBio. 7(1). e02007–15. 61 indexed citations
11.
Hill, James M., Debra C. Quenelle, Rhonda D. Cardin, et al.. (2014). Inhibition of LSD1 reduces herpesvirus infection, shedding, and recurrence by promoting epigenetic suppression of viral genomes. Science Translational Medicine. 6(265). 265ra169–265ra169. 73 indexed citations
12.
Stice, James P., Jennifer S. Lee, Angela S. Pechenino, & Anne A. Knowlton. (2008). Estrogen, Aging and the Cardiovascular System. Future Cardiology. 5(1). 93–103. 49 indexed citations
13.
Santen, Richard J., Jennifer S. Lee, Shu‐Ping Wang, et al.. (2008). Potential role of ultra-sensitive estradiol assays in estimating the risk of breast cancer and fractures. Steroids. 73(13). 1318–1321. 40 indexed citations
14.
Stanczyk, Frank Z., Jennifer S. Lee, & Richard J. Santen. (2007). Standardization of Steroid Hormone Assays: Why, How, and When?. Cancer Epidemiology Biomarkers & Prevention. 16(9). 1713–1719. 159 indexed citations
15.
Damer, Cynthia Kay, Marina Bayeva, Eric S. Eberhardt, et al.. (2007). Copine A Is Required for Cytokinesis, Contractile Vacuole Function, and Development inDictyostelium. Eukaryotic Cell. 6(3). 430–442. 33 indexed citations
16.
Lee, Jennifer S., Esther M. John, Valerie McGuire, et al.. (2006). Breast and Ovarian Cancer in Relatives of Cancer Patients, with and without BRCA Mutations. Cancer Epidemiology Biomarkers & Prevention. 15(2). 359–363. 31 indexed citations
17.
Cummings, Steven R., et al.. (2005). Sex Hormones, Risk Factors, and Risk of Estrogen Receptor–Positive Breast Cancer in Older Women: A Long-term Prospective Study. Cancer Epidemiology Biomarkers & Prevention. 14(5). 1047–1051. 54 indexed citations
18.
Moore, Clara S., Jennifer S. Lee, Bruce W. Birren, et al.. (1999). Integration of Cytogenetic with Recombinational and Physical Maps of Mouse Chromosome 16. Genomics. 59(1). 1–5. 24 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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