Michaela Willi

951 total citations
19 papers, 575 citations indexed

About

Michaela Willi is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Michaela Willi has authored 19 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Genetics. Recurrent topics in Michaela Willi's work include RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Michaela Willi is often cited by papers focused on RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Michaela Willi collaborates with scholars based in United States, Austria and South Korea. Michaela Willi's co-authors include Lothar Hennighausen, Hye‐Kyung Lee, Chaochen Wang, Kyung Hyun Yoo, Ha Youn Shin, Xianke Zeng, Chengyu Liu, Gil Metser, Harold E. Smith and Shannon M. Miller and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Michaela Willi

18 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Willi United States 12 478 108 56 55 51 19 575
Nicola A. Kearns United States 7 798 1.7× 135 1.3× 32 0.6× 38 0.7× 58 1.1× 10 858
Virginia Tajadura United Kingdom 9 350 0.7× 35 0.3× 42 0.8× 33 0.6× 47 0.9× 9 454
W. Clark Bacon United States 8 182 0.4× 37 0.3× 15 0.3× 36 0.7× 49 1.0× 10 317
Tingting Sui China 19 756 1.6× 264 2.4× 126 2.3× 25 0.5× 27 0.5× 37 859
Barbara Xella United Kingdom 7 409 0.9× 49 0.5× 54 1.0× 33 0.6× 30 0.6× 8 495
Julien Vandamme Denmark 12 523 1.1× 111 1.0× 37 0.7× 90 1.6× 29 0.6× 18 640
Meenakshi Roy United States 9 300 0.6× 41 0.4× 49 0.9× 238 4.3× 18 0.4× 10 586
Shuchi Agrawal‐Singh Denmark 9 645 1.3× 98 0.9× 169 3.0× 76 1.4× 46 0.9× 12 758
Yi Fu United States 9 435 0.9× 36 0.3× 51 0.9× 156 2.8× 29 0.6× 11 558
Takashi Nagaike Japan 14 800 1.7× 38 0.4× 59 1.1× 27 0.5× 31 0.6× 14 832

Countries citing papers authored by Michaela Willi

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Willi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Willi

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

All Works

19 of 19 papers shown
1.
Willi, Michaela, et al.. (2024). Patients’, parents’, and survivors’ perspective about AI applications in pediatric oncology. SHILAP Revista de lepidopterología. 4. 100201–100201.
2.
Lee, Hye‐Kyung, Michaela Willi, Chengyu Liu, & Lothar Hennighausen. (2023). Cell-specific and shared regulatory elements control a multigene locus active in mammary and salivary glands. Nature Communications. 14(1). 4992–4992. 8 indexed citations
3.
Lee, Hye‐Kyung, Michaela Willi, Tyler Kuhns, Chengyu Liu, & Lothar Hennighausen. (2021). Redundant and non-redundant cytokine-activated enhancers control Csn1s2b expression in the lactating mouse mammary gland. Nature Communications. 12(1). 2239–2239. 6 indexed citations
4.
Wilflingseder, Julia, Michaela Willi, Hye‐Kyung Lee, et al.. (2020). Enhancer and super-enhancer dynamics in repair after ischemic acute kidney injury. Nature Communications. 11(1). 3383–3383. 71 indexed citations
5.
Lee, Hye‐Kyung, Harold E. Smith, Chengyu Liu, Michaela Willi, & Lothar Hennighausen. (2020). Cytosine base editor 4 but not adenine base editor generates off-target mutations in mouse embryos. Communications Biology. 3(1). 19–19. 46 indexed citations
6.
Lee, Hye‐Kyung, Michaela Willi, Harold E. Smith, et al.. (2019). Simultaneous targeting of linked loci in mouse embryos using base editing. Scientific Reports. 9(1). 1662–1662. 13 indexed citations
7.
Lee, Hye‐Kyung, Michaela Willi, Shannon M. Miller, et al.. (2018). Targeting fidelity of adenine and cytosine base editors in mouse embryos. Nature Communications. 9(1). 4804–4804. 65 indexed citations
8.
Wilflingseder, Julia, Michaela Willi, Chaochen Wang, et al.. (2018). FP204BET FAMILY MEMBER BRD4 DEPENDENT ENHANCER AND SUPER-ENHANCER DYNAMICS PROMOTE KIDNEY REPAIR AND PROGRESSION TO FIBROSIS. Nephrology Dialysis Transplantation. 33(suppl_1). i100–i100. 1 indexed citations
9.
Lee, Hye‐Kyung, Michaela Willi, Ha Youn Shin, Chengyu Liu, & Lothar Hennighausen. (2018). Progressing super-enhancer landscape during mammary differentiation controls tissue-specific gene regulation. Nucleic Acids Research. 46(20). 10796–10809. 15 indexed citations
10.
Lee, Hye‐Kyung, Michaela Willi, Chaochen Wang, et al.. (2017). Functional assessment of CTCF sites at cytokine-sensing mammary enhancers using CRISPR/Cas9 gene editing in mice. Nucleic Acids Research. 45(8). 4606–4618. 17 indexed citations
11.
Willi, Michaela, et al.. (2017). Facultative CTCF sites moderate mammary super-enhancer activity and regulate juxtaposed gene in non-mammary cells. Nature Communications. 8(1). 16069–16069. 30 indexed citations
12.
Willi, Michaela, et al.. (2016). Impact of the Chromatin Remodeling Factor CHD1 on Gut Microbiome Composition of Drosophila melanogaster. PLoS ONE. 11(4). e0153476–e0153476. 11 indexed citations
13.
Schafferer, Simon, Rimpi Khurana, Hubert Hackl, et al.. (2016). Changes in the miRNA-mRNA Regulatory Network Precede Motor Symptoms in a Mouse Model of Multiple System Atrophy: Clinical Implications. PLoS ONE. 11(3). e0150705–e0150705. 27 indexed citations
14.
Willi, Michaela, Kyung Hyun Yoo, Chaochen Wang, Zlatko Trajanoski, & Lothar Hennighausen. (2016). Differential cytokine sensitivities of STAT5-dependent enhancers rely onStat5autoregulation. Nucleic Acids Research. 44(21). gkw844–gkw844. 21 indexed citations
15.
Shin, Ha Youn, Michaela Willi, Kyung Hyun Yoo, et al.. (2016). Hierarchy within the mammary STAT5-driven Wap super-enhancer. Nature Genetics. 48(8). 904–911. 195 indexed citations
16.
Zeng, Xianke, Michaela Willi, Ha Youn Shin, Lothar Hennighausen, & Chaochen Wang. (2016). Lineage-Specific and Non-specific Cytokine-Sensing Genes Respond Differentially to the Master Regulator STAT5. Cell Reports. 17(12). 3333–3346. 15 indexed citations
17.
Pabinger, Stephan, et al.. (2014). Database update MEMOSys 2.0: an update of the bioinformatics database for genome-scale models and genomic data. 6 indexed citations
18.
Pabinger, Stephan, et al.. (2014). MEMOSys 2.0: an update of the bioinformatics database for genome-scale models and genomic data. Database. 2014. bau004–bau004. 17 indexed citations
19.
Willi, Michaela, Mathias Winkler, Dagmar‐Christiane Fischer, et al.. (2002). Chorioamnionitis: Elevated interleukin-6 and interleukin-8 concentrations in the lower uterine segment. Journal of Perinatal Medicine. 30(4). 292–6. 11 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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