Neha N. Parayath

2.2k total citations · 2 hit papers
29 papers, 1.8k citations indexed

About

Neha N. Parayath is a scholar working on Molecular Biology, Immunology and Biomaterials. According to data from OpenAlex, Neha N. Parayath has authored 29 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Immunology and 9 papers in Biomaterials. Recurrent topics in Neha N. Parayath's work include RNA Interference and Gene Delivery (11 papers), Nanoparticle-Based Drug Delivery (8 papers) and Immune cells in cancer (6 papers). Neha N. Parayath is often cited by papers focused on RNA Interference and Gene Delivery (11 papers), Nanoparticle-Based Drug Delivery (8 papers) and Immune cells in cancer (6 papers). Neha N. Parayath collaborates with scholars based in United States, New Zealand and Egypt. Neha N. Parayath's co-authors include Mansoor M. Amiji, Matthias T. Stephan, Amanda Koehne, Sirkka B. Stephan, Khaled Greish, Sébastien Taurin, Peter S. Nelson, Eric C. Holland, Fan Zhang and Michael Coon and has published in prestigious journals such as Nature Communications, Nano Letters and PLoS ONE.

In The Last Decade

Neha N. Parayath

29 papers receiving 1.8k citations

Hit Papers

Genetic programming of macrophages to perform anti-tumor ... 2019 2026 2021 2023 2019 2020 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
Neha N. Parayath United States 19 927 620 555 457 386 29 1.8k
Yongchao Chu China 21 755 0.8× 339 0.5× 521 0.9× 347 0.8× 327 0.8× 34 1.7k
Chiara Brignole Italy 29 1.4k 1.5× 642 1.0× 397 0.7× 494 1.1× 511 1.3× 55 2.7k
Fang Xie China 21 489 0.5× 611 1.0× 308 0.6× 451 1.0× 375 1.0× 49 1.6k
Yiting Qiao China 21 867 0.9× 280 0.5× 558 1.0× 474 1.0× 351 0.9× 38 1.9k
Janet L. Markman United States 15 581 0.6× 351 0.6× 372 0.7× 382 0.8× 429 1.1× 21 1.5k
Kyle C. Roche United States 14 550 0.6× 556 0.9× 828 1.5× 540 1.2× 410 1.1× 20 1.6k
Danilo Marimpietri Italy 30 1.5k 1.6× 412 0.7× 293 0.5× 578 1.3× 396 1.0× 67 2.6k
Lisen Lu China 17 713 0.8× 759 1.2× 568 1.0× 371 0.8× 225 0.6× 31 1.6k
Daniela Di Paolo Italy 23 881 1.0× 291 0.5× 256 0.5× 294 0.6× 293 0.8× 36 1.5k
Madduri Srinivasarao United States 15 779 0.8× 198 0.3× 532 1.0× 521 1.1× 339 0.9× 40 1.7k

Countries citing papers authored by Neha N. Parayath

Since Specialization
Citations

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

Fields of papers citing papers by Neha N. Parayath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neha N. Parayath. 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 Neha N. Parayath. The network helps show where Neha N. Parayath may publish in the future.

Co-authorship network of co-authors of Neha N. Parayath

This figure shows the co-authorship network connecting the top 25 collaborators of Neha N. Parayath. A scholar is included among the top collaborators of Neha N. Parayath 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 Neha N. Parayath. Neha N. Parayath 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.
Parayath, Neha N., Srujan Gandham, & Mansoor M. Amiji. (2022). Tumor-Targeted miRNA Nanomedicine for Overcoming Challenges in Immunity and Therapeutic Resistance. Nanomedicine. 17(19). 1355–1373. 11 indexed citations
2.
Padmakumar, Smrithi, Anisha D’Souza, Neha N. Parayath, Benjamin S. Bleier, & Mansoor M. Amiji. (2022). Nucleic acid therapies for CNS diseases: Pathophysiology, targets, barriers, and delivery strategies. Journal of Controlled Release. 352. 121–145. 17 indexed citations
3.
Parayath, Neha N., et al.. (2021). Hyaluronic Acid Nanoparticle-Encapsulated MicroRNA-125B Repolarizes Tumor-Associated Macrophages in Pancreatic Cancer. Nanomedicine. 16(25). 2291–2303. 27 indexed citations
4.
Parayath, Neha N., et al.. (2021). Genetic in situ engineering of myeloid regulatory cells controls inflammation in autoimmunity. Journal of Controlled Release. 339. 553–561. 10 indexed citations
5.
Parayath, Neha N., Carlos Coito, Olga Khorkova, et al.. (2021). Endonasal CNS Delivery System for Blood-Brain Barrier Impermeant Therapeutic Oligonucleotides Using Heterotopic Mucosal Engrafting. Frontiers in Pharmacology. 12. 660841–660841. 8 indexed citations
6.
Parayath, Neha N., Smrithi Padmakumar, & Mansoor M. Amiji. (2020). Extracellular vesicle-mediated nucleic acid transfer and reprogramming in the tumor microenvironment. Cancer Letters. 482. 33–43. 25 indexed citations
7.
Parayath, Neha N., Sirkka B. Stephan, Amanda Koehne, Peter S. Nelson, & Matthias T. Stephan. (2020). In vitro-transcribed antigen receptor mRNA nanocarriers for transient expression in circulating T cells in vivo. Nature Communications. 11(1). 6080–6080. 310 indexed citations breakdown →
10.
Parayath, Neha N., Smrithi Padmakumar, Shantikumar V. Nair, Deepthy Menon, & Mansoor M. Amiji. (2019). Strategies for Targeting Cancer Immunotherapy Through Modulation of the Tumor Microenvironment. Regenerative Engineering and Translational Medicine. 6(1). 29–49. 27 indexed citations
12.
Zhang, Fan, Neha N. Parayath, Chibawanye Ene, et al.. (2019). Genetic programming of macrophages to perform anti-tumor functions using targeted mRNA nanocarriers. Nature Communications. 10(1). 3974–3974. 406 indexed citations breakdown →
13.
Parayath, Neha N., et al.. (2018). Direct CNS delivery of proteins using thermosensitive liposome-in-gel carrier by heterotopic mucosal engrafting. PLoS ONE. 13(12). e0208122–e0208122. 18 indexed citations
15.
Parayath, Neha N., et al.. (2016). Prospects of Nanocarriers for Oral Delivery of Bioactives Using Targeting Strategies. Current Pharmaceutical Biotechnology. 17(8). 683–699. 3 indexed citations
16.
Salerno, Loredana, Valeria Pittalà, Giuseppe Romeo, et al.. (2015). Novel imidazole derivatives as heme oxygenase-1 (HO-1) and heme oxygenase-2 (HO-2) inhibitors and their cytotoxic activity in human-derived cancer cell lines. European Journal of Medicinal Chemistry. 96. 162–172. 52 indexed citations
17.
Parayath, Neha N., et al.. (2015). The Use of Styrene Maleic Acid Nanomicelles Encapsulating the Synthetic Cannabinoid Analog WIN55,212-2 for the Treatment of Cancer.. Anticancer Research. 35(9). 4707–4712. 10 indexed citations
18.
Greish, Khaled, et al.. (2015). Styrene maleic acid micelles as a nanocarrier system for oral anticancer drug delivery – dual uptake through enterocytes and M-cells. International Journal of Nanomedicine. 10. 4653–4653. 21 indexed citations
19.
Greish, Khaled, et al.. (2014). Nanomedicine for drug targeting: strategies beyond the enhanced permeability and retention effect. International Journal of Nanomedicine. 9. 2539–2539. 195 indexed citations
20.
Parayath, Neha N., et al.. (2014). Polymeric nano-micelles: Versatile Platform for Targeted Delivery in Cancer. Therapeutic Delivery. 5(10). 1101–1121. 42 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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