Michelle E. Farkas

2.0k total citations
41 papers, 1.6k citations indexed

About

Michelle E. Farkas is a scholar working on Molecular Biology, Organic Chemistry and Endocrine and Autonomic Systems. According to data from OpenAlex, Michelle E. Farkas has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Organic Chemistry and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in Michelle E. Farkas's work include Circadian rhythm and melatonin (8 papers), Advanced biosensing and bioanalysis techniques (7 papers) and RNA Interference and Gene Delivery (6 papers). Michelle E. Farkas is often cited by papers focused on Circadian rhythm and melatonin (8 papers), Advanced biosensing and bioanalysis techniques (7 papers) and RNA Interference and Gene Delivery (6 papers). Michelle E. Farkas collaborates with scholars based in United States, China and India. Michelle E. Farkas's co-authors include Joseph Hardie, Vincent M. Rotello, Peter B. Dervan, Rui Tang, Nicholas G. Nickols, Claire S. Jacobs, Kap‐Sun Yeung, Matthew B. Francis, Zhilei Qiu and Zhong Yang and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Michelle E. Farkas

41 papers receiving 1.6k citations

Peers

Michelle E. Farkas

ECOLO

BIOMA

A. G. Venyaminova Russia

Satoru Nagatoishi Japan

Elin K. Esbjörner Sweden

Matthew R. Hicks United Kingdom

Nicole Boggetto France

Sonia Di Gaetano Italy

Nina Svensen United Kingdom

Chayasith Uttamapinant United States

Burkhardt Laufer Germany

Ran Xie China

A. G. Venyaminova Russia

Michelle E. Farkas

1.7k ×1.8

208 ×0.7

209 ×1.0

65 ×0.4

ECOLO

58 ×0.4

BIOMA

Citations per year, relative to Michelle E. Farkas Michelle E. Farkas (= 1×) peers A. G. Venyaminova

Countries citing papers authored by Michelle E. Farkas

Since Specialization

Citations

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

Fields of papers citing papers by Michelle E. Farkas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle E. Farkas. 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 Michelle E. Farkas. The network helps show where Michelle E. Farkas may publish in the future.

Co-authorship network of co-authors of Michelle E. Farkas

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

All Works

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20 of 20 papers shown

Hegde, Muralidhar L., et al.. (2024). Circadian Effects of Melatonin Receptor-Targeting Molecules In Vitro. International Journal of Molecular Sciences. 25(24). 13508–13508. 2 indexed citations

Zhang, Xianzhi, Yuanchang Liu, Mingdi Jiang, et al.. (2024). Polarization of macrophages to an anti-cancer phenotype through in situ uncaging of a TLR 7/8 agonist using bioorthogonal nanozymes. Chemical Science. 15(7). 2486–2494. 22 indexed citations

Joshi, Bishnu Prasad, et al.. (2023). Diarylidene‐ N ‐Methyl‐4‐Piperidones and Spirobibenzopyrans as Antioxidant and Anti‐Inflammatory Agents. Chemistry & Biodiversity. 20(9). e202300822–e202300822. 1 indexed citations

Farkas, Michelle E., et al.. (2023). Murine macrophage-based iNos reporter reveals polarization and reprogramming in the context of breast cancer. Frontiers in Oncology. 13. 1151384–1151384. 3 indexed citations

Jeon, Taewon, David C. Luther, Ritabrita Goswami, et al.. (2023). Engineered Polymer–siRNA Polyplexes Provide Effective Treatment of Lung Inflammation. ACS Nano. 17(5). 4315–4326. 32 indexed citations

Nguyen, Evelyn M., et al.. (2022). Macrophage circadian rhythms are differentially affected based on stimuli. Integrative Biology. 14(3). 62–75. 16 indexed citations

Robertson, Kelly L., et al.. (2020). Oncogenic and Circadian Effects of Small Molecules Directly and Indirectly Targeting the Core Circadian Clock. Integrative Cancer Therapies. 19. 1872142526–1872142526. 16 indexed citations

Robertson, Kelly L., et al.. (2020). Nobiletin affects circadian rhythms and oncogenic characteristics in a cell-dependent manner. PLoS ONE. 15(7). e0236315–e0236315. 18 indexed citations

Robertson, Kelly L., et al.. (2020). Chemical modulation of circadian rhythms and assessment of cellular behavior via indirubin and derivatives. Methods in enzymology on CD-ROM/Methods in enzymology. 639. 115–140. 13 indexed citations

10.

Hardie, Joseph, et al.. (2019). Macrophage activation by a substituted pyrimido[5,4-b]indole increases anti-cancer activity. Pharmacological Research. 148. 104452–104452. 16 indexed citations

11.

Jiang, Ying, Joseph Hardie, Yuanchang Liu, et al.. (2018). Nanocapsule-mediated cytosolic siRNA delivery for anti-inflammatory treatment. Journal of Controlled Release. 283. 235–240. 32 indexed citations

12.

Aanei, Ioana L., Adel M. ElSohly, Michelle E. Farkas, et al.. (2016). Biodistribution of Antibody-MS2 Viral Capsid Conjugates in Breast Cancer Models. Molecular Pharmaceutics. 13(11). 3764–3772. 44 indexed citations

13.

ElSohly, Adel M., Chawita Netirojjanakul, Ioana L. Aanei, et al.. (2015). Synthetically Modified Viral Capsids as Versatile Carriers for Use in Antibody-Based Cell Targeting. Bioconjugate Chemistry. 26(8). 1590–1596. 32 indexed citations

14.

Farkas, Michelle E., Benjamin Li, Christian Dose, & Peter B. Dervan. (2009). DNA sequence selectivity of hairpin polyamide turn units. Bioorganic & Medicinal Chemistry Letters. 19(14). 3919–3923. 12 indexed citations

15.

Chou, C. James, et al.. (2008). Small molecules targeting histone H4 as potential therapeutics for chronic myelogenous leukemia. Molecular Cancer Therapeutics. 7(4). 769–778. 30 indexed citations

16.

Dose, Christian, Michelle E. Farkas, David M. Chenoweth, & Peter B. Dervan. (2008). Next Generation Hairpin Polyamides with (R)-3,4-Diaminobutyric Acid Turn Unit. Journal of the American Chemical Society. 130(21). 6859–6866. 44 indexed citations

17.

Farkas, Michelle E., et al.. (2007). α-Diaminobutyric acid-linked hairpin polyamides. Bioorganic & Medicinal Chemistry. 15(22). 6927–6936. 13 indexed citations

18.

Phillips, John W., John W. Trauger, Michelle E. Farkas, et al.. (2007). Completion of a programmable DNA-binding small molecule library. Tetrahedron. 63(27). 6146–6151. 58 indexed citations

19.

Nickols, Nicholas G., Claire S. Jacobs, Michelle E. Farkas, & Peter B. Dervan. (2006). Improved nuclear localization of DNA-binding polyamides. Nucleic Acids Research. 35(2). 363–370. 78 indexed citations

20.

Farkas, Michelle E., et al.. (2006). Unanticipated differences between α- and γ-diaminobutyric acid-linked hairpin polyamide-alkylator conjugates. Nucleic Acids Research. 35(1). 307–316. 22 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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