Jennifer Kao

803 total citations
10 papers, 521 citations indexed

About

Jennifer Kao is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Jennifer Kao has authored 10 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Epidemiology. Recurrent topics in Jennifer Kao's work include DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers) and Genomics and Chromatin Dynamics (3 papers). Jennifer Kao is often cited by papers focused on DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers) and Genomics and Chromatin Dynamics (3 papers). Jennifer Kao collaborates with scholars based in Canada, United States and France. Jennifer Kao's co-authors include Pei‐Chi Wei, Frederick W. Alt, Zhou Du, Bjoern Schwer, Amelia Chang, Robin M. Meyers, Phedias Diamandis, Karl Grenier, Ugljesa Djuric and Junchao Dong and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

Jennifer Kao

10 papers receiving 515 citations

Peers

Jennifer Kao

MB

GENET

CR

CMN

ONCOL

Zhiyan Shan China

Juliette Delhove United Kingdom

Christapher S. Morrissey United States

Marianna Paulis Italy

Maki Takagishi Japan

Helena Storvall Sweden

Silvia Cainarca Italy

Elisa Giorgio Italy

Paolo Laveder Italy

Ashley C. Kramer United States

Zhiyan Shan China

Jennifer Kao

253 ×0.6

MB

63 ×0.7

GENET

43 ×0.6

CR

36 ×0.7

CMN

44 ×0.9

ONCOL

Citations per year, relative to Jennifer Kao Jennifer Kao (= 1×) peers Zhiyan Shan

Countries citing papers authored by Jennifer Kao

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Kao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Kao

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

All Works

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10 of 10 papers shown

1.

Sangster, Kevin T., Jennifer Kao, Mehdi Zarrei, et al.. (2022). Regionally defined proteomic profiles of human cerebral tissue and organoids reveal conserved molecular modules of neurodevelopment. Cell Reports. 39(8). 110846–110846. 6 indexed citations

2.

Grenier, Karl, Jennifer Kao, & Phedias Diamandis. (2019). Three-dimensional modeling of human neurodegeneration: brain organoids coming of age. Molecular Psychiatry. 25(2). 254–274. 93 indexed citations

3.

Djuric, Ugljesa, et al.. (2019). Defining Protein Pattern Differences Among Molecular Subtypes of Diffuse Gliomas Using Mass Spectrometry*[S]. Molecular & Cellular Proteomics. 18(10). 2029–2043. 18 indexed citations

4.

Djuric, Ugljesa, Jennifer Kao, Shirin Karimi, et al.. (2019). Proteomic analysis of meningiomas reveals clinically distinct molecular patterns. Neuro-Oncology. 21(8). 1028–1038. 27 indexed citations

5.

Stalker, Leanne, et al.. (2018). STAT3 signaling stimulates miR-21 expression in bovine cumulus cells during in vitro oocyte maturation. Scientific Reports. 8(1). 11527–11527. 38 indexed citations

6.

Panchakshari, Rohit A., Xuefei Zhang, Vipul Kumar, et al.. (2018). DNA double-strand break response factors influence end-joining features of IgH class switch and general translocation junctions. Proceedings of the National Academy of Sciences. 115(4). 762–767. 39 indexed citations

7.

Wei, Pei‐Chi, Cheng‐Sheng Lee, Zhou Du, et al.. (2018). Three classes of recurrent DNA break clusters in brain progenitors identified by 3D proximity-based break joining assay. Proceedings of the National Academy of Sciences. 115(8). 1919–1924. 32 indexed citations

8.

Wei, Pei‐Chi, Amelia Chang, Jennifer Kao, et al.. (2016). Long Neural Genes Harbor Recurrent DNA Break Clusters in Neural Stem/Progenitor Cells. Cell. 164(4). 644–655. 183 indexed citations

9.

Schwer, Bjoern, Pei‐Chi Wei, Amelia Chang, et al.. (2016). Transcription-associated processes cause DNA double-strand breaks and translocations in neural stem/progenitor cells. Proceedings of the National Academy of Sciences. 113(8). 2258–2263. 82 indexed citations

10.

Kao, Jennifer, et al.. (2003). The Role of the Brachioradialis H Reflex in the Management and Prognosis of Obstetrical Brachial Plexus Palsy. Handchirurgie · Mikrochirurgie · Plastische Chirurgie. 35(2). 106–111. 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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