Maya K. Monroe

447 total citations
9 papers, 376 citations indexed

About

Maya K. Monroe is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Maya K. Monroe has authored 9 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Biomaterials and 3 papers in Biomedical Engineering. Recurrent topics in Maya K. Monroe's work include RNA Interference and Gene Delivery (6 papers), Supramolecular Self-Assembly in Materials (6 papers) and Nanoplatforms for cancer theranostics (3 papers). Maya K. Monroe is often cited by papers focused on RNA Interference and Gene Delivery (6 papers), Supramolecular Self-Assembly in Materials (6 papers) and Nanoplatforms for cancer theranostics (3 papers). Maya K. Monroe collaborates with scholars based in United States and China. Maya K. Monroe's co-authors include Honggang Cui, Han Wang, Feihu Wang, Hao Su, Zongyuan Wang, Rami W. Chakroun, Charles Flexner, Richard Oh, Xuanrong Sun and Dongqing Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Nano.

In The Last Decade

Maya K. Monroe

9 papers receiving 375 citations

Peers

Maya K. Monroe

BIOMA

BE

MB

IMMUN

OC

Michelle K. Greene United Kingdom

Ruben De Coen Belgium

Utsarga Adhikary United States

Marcin Wojnilowicz Australia

Sukyung Ahn South Korea

Xinying Yu China

Emad I. Wafa United States

Veena Vijayan South Korea

Pramod Kumar Ek Denmark

Agata Glab Australia

Michelle K. Greene United Kingdom

Maya K. Monroe

159 ×0.8

BIOMA

149 ×0.9

BE

210 ×1.4

MB

56 ×0.5

IMMUN

42 ×0.7

OC

Citations per year, relative to Maya K. Monroe Maya K. Monroe (= 1×) peers Michelle K. Greene

Countries citing papers authored by Maya K. Monroe

Since Specialization

Citations

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

Fields of papers citing papers by Maya K. Monroe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya K. Monroe. 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 Maya K. Monroe. The network helps show where Maya K. Monroe may publish in the future.

Co-authorship network of co-authors of Maya K. Monroe

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

All Works

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9 of 9 papers shown

1.

Wang, Feihu, Qian Huang, Hao Su, et al.. (2023). Self-assembling paclitaxel-mediated stimulation of tumor-associated macrophages for postoperative treatment of glioblastoma. Proceedings of the National Academy of Sciences. 120(18). e2204621120–e2204621120. 51 indexed citations

2.

Wang, Han, Maya K. Monroe, Feihu Wang, et al.. (2023). Constructing Antiretroviral Supramolecular Polymers as Long-Acting Injectables through Rational Design of Drug Amphiphiles with Alternating Antiretroviral-Based and Hydrophobic Residues. Journal of the American Chemical Society. 145(39). 21293–21302. 8 indexed citations

3.

Monroe, Maya K., Han Wang, Caleb F. Anderson, et al.. (2022). Leveraging the therapeutic, biological, and self-assembling potential of peptides for the treatment of viral infections. Journal of Controlled Release. 348. 1028–1049. 22 indexed citations

4.

Wang, Han, et al.. (2022). Supramolecular nanomedicines through rational design of self-assembling prodrugs. Trends in Pharmacological Sciences. 43(6). 510–521. 31 indexed citations

5.

Monroe, Maya K., Han Wang, Caleb F. Anderson, et al.. (2022). Antiviral supramolecular polymeric hydrogels by self-assembly of tenofovir-bearing peptide amphiphiles. Biomaterials Science. 11(2). 489–498. 13 indexed citations

6.

Wang, Feihu, Hao Su, Dongqing Xu, et al.. (2021). Therapeutic supramolecular tubustecan hydrogel combined with checkpoint inhibitor elicits immunity to combat cancer. Biomaterials. 279. 121182–121182. 37 indexed citations

7.

Wang, Feihu, Dongqing Xu, Hao Su, et al.. (2020). Supramolecular prodrug hydrogelator as an immune booster for checkpoint blocker–based immunotherapy. Science Advances. 6(18). eaaz8985–eaaz8985. 129 indexed citations

8.

Wang, Feihu, Hao Su, Ran Lin, et al.. (2020). Supramolecular Tubustecan Hydrogel as Chemotherapeutic Carrier to Improve Tumor Penetration and Local Treatment Efficacy. ACS Nano. 14(8). 10083–10094. 67 indexed citations

9.

Monroe, Maya K., Charles Flexner, & Honggang Cui. (2018). Harnessing nanostructured systems for improved treatment and prevention of HIV disease. Bioengineering & Translational Medicine. 3(2). 102–123. 18 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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