Jennifer M. Huang

420 total citations
12 papers, 330 citations indexed

About

Jennifer M. Huang is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Jennifer M. Huang has authored 12 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 2 papers in Oncology. Recurrent topics in Jennifer M. Huang's work include Epigenetics and DNA Methylation (7 papers), Genetic Syndromes and Imprinting (5 papers) and Genomics and Chromatin Dynamics (5 papers). Jennifer M. Huang is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Genetic Syndromes and Imprinting (5 papers) and Genomics and Chromatin Dynamics (5 papers). Jennifer M. Huang collaborates with scholars based in United States, South Korea and Italy. Jennifer M. Huang's co-authors include Joomyeong Kim, Muhammad B. Ekram, Hana Kim, Thomas J. Hornyak, Jeong‐Do Kim, Lisa Stubbs, Ivan Ovcharenko, Anne Bergmann, Angela K. Hinz and Tae‐Young Roh and has published in prestigious journals such as Analytical Biochemistry, Genome Research and Human Molecular Genetics.

In The Last Decade

Jennifer M. Huang

11 papers receiving 322 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 M. Huang United States 8 256 160 64 47 38 12 330
Joyce Andrade Brazil 7 195 0.8× 126 0.8× 32 0.5× 17 0.4× 39 1.0× 14 331
Muhammad B. Ekram United States 10 354 1.4× 219 1.4× 83 1.3× 22 0.5× 98 2.6× 15 484
Eva Barroso Spain 11 245 1.0× 289 1.8× 17 0.3× 10 0.2× 37 1.0× 23 437
Jaime Garcia‐Heras United States 14 208 0.8× 244 1.5× 93 1.5× 28 0.6× 13 0.3× 25 440
Mónica Román-Trufero United Kingdom 9 502 2.0× 124 0.8× 26 0.4× 22 0.5× 35 0.9× 14 560
Pola Smirin‐Yosef Israel 10 178 0.7× 160 1.0× 24 0.4× 22 0.5× 13 0.3× 15 309
Irina Lagovsky Israel 8 122 0.5× 118 0.7× 24 0.4× 18 0.4× 11 0.3× 14 282
Kristen L. Sund United States 9 193 0.8× 171 1.1× 56 0.9× 28 0.6× 19 0.5× 15 326
Hugo Vega Colombia 6 477 1.9× 149 0.9× 25 0.4× 79 1.7× 26 0.7× 10 583
N. A. Skryabin Russia 10 184 0.7× 157 1.0× 121 1.9× 19 0.4× 39 1.0× 46 371

Countries citing papers authored by Jennifer M. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer M. Huang

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

All Works

12 of 12 papers shown
2.
Towne, Meghan C., Mari Rossi, Jennifer M. Huang, et al.. (2022). Diagnostic testing laboratories are valuable partners for disease gene discovery: 5‐year experience with GeneMatcher. Human Mutation. 43(6). 772–781. 4 indexed citations
3.
Pan, Li, Jennifer M. Huang, Ferenc Livák, et al.. (2019). CD34 defines melanocyte stem cell subpopulations with distinct regenerative properties. PLoS Genetics. 15(4). e1008034–e1008034. 33 indexed citations
4.
Huang, Jennifer M., et al.. (2016). Melanocytic Nevi and the Genetic and Epigenetic Control of Oncogene-Induced Senescence. Dermatologic Clinics. 35(1). 85–93. 15 indexed citations
5.
Adhikary, Gautam, Daniel Grun, Sivaprakasam Balasubramanian, et al.. (2015). Survival of skin cancer stem cells requires the Ezh2 polycomb group protein. Carcinogenesis. 36(7). 800–810. 50 indexed citations
6.
Huang, Jennifer M. & Thomas J. Hornyak. (2014). Polycomb group proteins – epigenetic repressors with emerging roles in melanocytes and melanoma. Pigment Cell & Melanoma Research. 28(3). 330–339. 8 indexed citations
7.
Kim, Joomyeong, Muhammad B. Ekram, Hana Kim, et al.. (2012). Imprinting control region (ICR) of the Peg3 domain. Human Molecular Genetics. 21(12). 2677–2687. 45 indexed citations
8.
Thiaville, Michelle M., Jennifer M. Huang, Hana Kim, et al.. (2012). DNA-binding motif and target genes of the imprinted transcription factor PEG3. Gene. 512(2). 314–320. 53 indexed citations
9.
Huang, Jennifer M. & Joomyeong Kim. (2009). DNA methylation analysis of the mammalian PEG3 imprinted domain. Gene. 442(1-2). 18–25. 42 indexed citations
10.
Huang, Jennifer M., et al.. (2009). Identification of an antisense transcript to ZIM2 in the primate lineage. Gene. 445(1-2). 1–6. 1 indexed citations
11.
Kim, Jeong‐Do, Angela K. Hinz, Anne Bergmann, et al.. (2006). Identification of clustered YY1 binding sites in imprinting control regions. Genome Research. 16(7). 901–911. 73 indexed citations
12.
Huang, Jennifer M., Jeong‐Do Kim, Hana Kim, & Joomyeong Kim. (2006). An improved cloning strategy for chromatin-immunoprecipitation-derived DNA fragments. Analytical Biochemistry. 356(1). 145–147. 6 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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