Elizabeth Fleming

3.0k total citations · 1 hit paper
35 papers, 2.1k citations indexed

About

Elizabeth Fleming is a scholar working on Molecular Biology, Dermatology and Epidemiology. According to data from OpenAlex, Elizabeth Fleming has authored 35 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 6 papers in Dermatology and 5 papers in Epidemiology. Recurrent topics in Elizabeth Fleming's work include Dermatology and Skin Diseases (6 papers), MicroRNA in disease regulation (5 papers) and Gut microbiota and health (5 papers). Elizabeth Fleming is often cited by papers focused on Dermatology and Skin Diseases (6 papers), MicroRNA in disease regulation (5 papers) and Gut microbiota and health (5 papers). Elizabeth Fleming collaborates with scholars based in United States, Germany and Canada. Elizabeth Fleming's co-authors include Antonio J. Giráldez, Miler T. Lee, Ariel Bazzini, Gregory M. Gilmartin, Julia Oh, Ashley R. Bonneau, Carter M. Takacs, Joyce Oetjen, Charles E. Vejnar and Brenton R. Graveley and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Elizabeth Fleming

34 papers receiving 2.0k citations

Hit Papers

Identification of small ORFs in vertebrates using ribosom... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Fleming United States 21 1.5k 439 213 175 167 35 2.1k
Sameet Mehta United States 21 1.5k 1.0× 228 0.5× 224 1.1× 382 2.2× 85 0.5× 38 2.2k
Xiuping Wang China 19 1.2k 0.8× 131 0.3× 258 1.2× 120 0.7× 134 0.8× 99 1.8k
Ana Bravo Spain 22 710 0.5× 232 0.5× 230 1.1× 226 1.3× 313 1.9× 58 1.9k
Sun Shim Choi South Korea 27 1.3k 0.9× 223 0.5× 336 1.6× 323 1.8× 78 0.5× 75 2.3k
Changqing Zeng China 25 1.1k 0.7× 185 0.4× 219 1.0× 127 0.7× 306 1.8× 92 2.0k
Luca Cozzuto Spain 22 1.4k 1.0× 211 0.5× 190 0.9× 86 0.5× 82 0.5× 43 1.9k
Youxin Jin China 31 1.8k 1.2× 952 2.2× 140 0.7× 297 1.7× 50 0.3× 97 3.1k
Christine Hoffmann Germany 24 1.0k 0.7× 148 0.3× 94 0.4× 428 2.4× 120 0.7× 38 2.0k
Tamara Tanos Argentina 18 796 0.5× 216 0.5× 157 0.7× 205 1.2× 102 0.6× 23 1.5k

Countries citing papers authored by Elizabeth Fleming

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Fleming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Fleming

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

All Works

20 of 20 papers shown
1.
Xiong, Ruoyun, Elizabeth Fleming, Suzanne D. Vernon, et al.. (2025). AI-driven multi-omics modeling of myalgic encephalomyelitis/chronic fatigue syndrome. Nature Medicine. 31(9). 2991–3001.
2.
Zhou, Wei, et al.. (2023). Skin microbiome attributes associate with biophysical skin ageing. Experimental Dermatology. 32(9). 1546–1556. 16 indexed citations
3.
Guan, Changhui, Peter J. Larson, Elizabeth Fleming, et al.. (2022). Engineering a “detect and destroy” skin probiotic to combat methicillin-resistant Staphylococcus aureus. PLoS ONE. 17(12). e0276795–e0276795. 12 indexed citations
4.
Voigt, Anita Y., Akintunde Emiola, Jethro S. Johnson, et al.. (2022). Skin Microbiome Variation with Cancer Progression in Human Cutaneous Squamous Cell Carcinoma. Journal of Investigative Dermatology. 142(10). 2773–2782.e16. 32 indexed citations
5.
Larson, Peter J., Wei Zhou, Alba Santiago, et al.. (2022). Associations of the skin, oral and gut microbiome with aging, frailty and infection risk reservoirs in older adults. Nature Aging. 2(10). 941–955. 54 indexed citations
6.
Fleming, Elizabeth, Ruoyun Xiong, Anita Y. Voigt, et al.. (2021). Cultivation of common bacterial species and strains from human skin, oral, and gut microbiota. BMC Microbiology. 21(1). 278–278. 13 indexed citations
7.
Larson, Peter J., et al.. (2020). Challenges in Developing a Human Model System for Skin Microbiome Research. Journal of Investigative Dermatology. 141(1). 228–231.e4. 27 indexed citations
8.
Zhou, Wei, Rachel Hardy, Changhui Guan, et al.. (2020). Host-Specific Evolutionary and Transmission Dynamics Shape the Functional Diversification of Staphylococcus epidermidis in Human Skin. Cell. 180(3). 454–470.e18. 96 indexed citations
9.
Ruiter, Bert, Neal P. Smith, Elizabeth Fleming, et al.. (2020). Peanut protein acts as a TH2 adjuvant by inducing RALDH2 in human antigen-presenting cells. Journal of Allergy and Clinical Immunology. 148(1). 182–194.e4. 20 indexed citations
10.
Ruiter, Bert, Neal P. Smith, Brinda Monian, et al.. (2019). Expansion of the CD4+ effector T-cell repertoire characterizes peanut-allergic patients with heightened clinical sensitivity. Journal of Allergy and Clinical Immunology. 145(1). 270–282. 41 indexed citations
11.
Kasper, Dionna M., Emma Ristori, Anand Narayanan, et al.. (2017). MicroRNAs Establish Uniform Traits during the Architecture of Vertebrate Embryos. Developmental Cell. 40(6). 552–565.e5. 39 indexed citations
12.
13.
Bazzini, Ariel, Timothy G. Johnstone, Romain Christiano, et al.. (2014). Identification of small ORFs in vertebrates using ribosome footprinting and evolutionary conservation. The EMBO Journal. 33(9). 981–993. 493 indexed citations breakdown →
14.
Kozubek, James, Zhihai Ma, Elizabeth Fleming, et al.. (2013). In-Depth Characterization of microRNA Transcriptome in Melanoma. PLoS ONE. 8(9). e72699–e72699. 96 indexed citations
15.
Lee, Miler T., Ashley R. Bonneau, Carter M. Takacs, et al.. (2013). Nanog, Pou5f1 and SoxB1 activate zygotic gene expression during the maternal-to-zygotic transition. Nature. 503(7476). 360–364. 362 indexed citations
16.
Wei, Chongjuan, et al.. (2012). The LKB1 Tumor Suppressor Controls Spindle Orientation and Localization of Activated AMPK in Mitotic Epithelial Cells. PLoS ONE. 7(7). e41118–e41118. 21 indexed citations
17.
Ma, Zhihai, Helen Swede, David S. Cassarino, et al.. (2011). Up-Regulated Dicer Expression in Patients with Cutaneous Melanoma. PLoS ONE. 6(6). e20494–e20494. 52 indexed citations
18.
Fleming, Elizabeth, et al.. (2009). Spindle misorientation in tumors from APCmin/+ mice. Molecular Carcinogenesis. 48(7). 592–598. 39 indexed citations
19.
Malo, Madhu S., Wenying Zhang, Fuad Alkhoury, et al.. (2004). Thyroid Hormone Positively Regulates the Enterocyte Differentiation Marker Intestinal Alkaline Phosphatase Gene via an Atypical Response Element. Molecular Endocrinology. 18(8). 1941–1962. 35 indexed citations
20.
Gilmartin, Gregory M., Elizabeth Fleming, Joyce Oetjen, & Brenton R. Graveley. (1995). CPSF recognition of an HIV-1 mRNA 3'-processing enhancer: multiple sequence contacts involved in poly(A) site definition.. Genes & Development. 9(1). 72–83. 105 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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