Aneesh Thakur

2.3k total citations · 1 hit paper
50 papers, 1.6k citations indexed

About

Aneesh Thakur is a scholar working on Molecular Biology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Aneesh Thakur has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Infectious Diseases and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Aneesh Thakur's work include Inhalation and Respiratory Drug Delivery (14 papers), RNA Interference and Gene Delivery (11 papers) and Mycobacterium research and diagnosis (9 papers). Aneesh Thakur is often cited by papers focused on Inhalation and Respiratory Drug Delivery (14 papers), RNA Interference and Gene Delivery (11 papers) and Mycobacterium research and diagnosis (9 papers). Aneesh Thakur collaborates with scholars based in Denmark, India and Sweden. Aneesh Thakur's co-authors include Camilla Foged, Gregers Jungersen, Abhijeet Lokras, Abishek Wadhwa, Anas Aljabbari, Heidi Mikkelsen, Yibang Zhang, Lasse Eggers Pedersen, Henrik Franzyk and You Xu and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Journal of Colloid and Interface Science.

In The Last Decade

Aneesh Thakur

49 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Opportunities and Challenges in the Delivery of mRNA-Based Vaccines

2020 426 citations Abishek Wadhwa, Anas Aljabbari et al. Pharmaceutics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aneesh Thakur Denmark	19	699	505	426	245	178	50	1.6k
Quanming Zou China	25	798 1.1×	558 1.1×	706 1.7×	259 1.1×	90 0.5×	94	2.2k
Jean‐Pierre Amorij Netherlands	21	469 0.7×	291 0.6×	427 1.0×	575 2.3×	189 1.1×	42	1.5k
Veronique Beiss United States	21	527 0.8×	615 1.2×	377 0.9×	81 0.3×	64 0.4×	31	1.6k
Jakub K. Simon United States	23	422 0.6×	988 2.0×	542 1.3×	410 1.7×	40 0.2×	59	2.2k
Jiang Gu China	22	451 0.6×	411 0.8×	220 0.5×	256 1.0×	59 0.3×	53	1.3k
Kai Schulze Germany	29	567 0.8×	553 1.1×	781 1.8×	432 1.8×	72 0.4×	71	1.9k
Li Shi China	17	490 0.7×	374 0.7×	457 1.1×	612 2.5×	30 0.2×	43	1.5k
David C. Flyer United States	24	336 0.5×	795 1.6×	714 1.7×	659 2.7×	130 0.7×	45	1.9k
Ozan S. Kumru United States	17	643 0.9×	307 0.6×	196 0.5×	151 0.6×	40 0.2×	42	1.1k
Annalisa Ciabattini Italy	20	491 0.7×	625 1.2×	578 1.4×	231 0.9×	30 0.2×	50	1.6k

Countries citing papers authored by Aneesh Thakur

Since Specialization

Citations

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

Fields of papers citing papers by Aneesh Thakur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aneesh Thakur

This figure shows the co-authorship network connecting the top 25 collaborators of Aneesh Thakur. A scholar is included among the top collaborators of Aneesh Thakur 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 Aneesh Thakur. Aneesh Thakur 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

Lokras, Abhijeet, Aneesh Thakur, Henrik Franzyk, et al.. (2025). Cholesterol in mRNA‐Lipid Nanoparticles can be Replaced with the Synthetic Mycobacterial Monomycoloyl Glycerol Analogue MMG‐1. Advanced Functional Materials. 35(51).

Kłodzińska, Sylvia N., Cristina Rodríguez‐Rodríguez, Lan Wu, et al.. (2025). Nanogel encapsulation improves pharmacokinetics and biodistribution of antimicrobial peptide LL37 upon lung deposition: In vivo evaluation by SPECT/CT. Journal of Controlled Release. 383. 113817–113817. 3 indexed citations

Thakur, Aneesh, et al.. (2024). RNA-Based Vaccines and Therapeutics Against Intracellular Pathogens. Methods in molecular biology. 2813. 321–370. 2 indexed citations

Lokras, Abhijeet, S. Schmidt, Henrik Franzyk, et al.. (2024). Lipid nanoparticles for local delivery of mRNA to the respiratory tract: Effect of PEG-lipid content and administration route. European Journal of Pharmaceutics and Biopharmaceutics. 198. 114266–114266. 30 indexed citations

Thakur, Aneesh, et al.. (2024). Intracellular Pathogens: Infection, Immunity, and Intervention. Methods in molecular biology. 2813. 1–17. 2 indexed citations

Christensen, Dennis, et al.. (2023). Reconstituted dry powder formulations of ZnO-adjuvanted ovalbumin induce equivalent antigen specific antibodies but lower T cell responses than ovalbumin adjuvanted with Alhydrogel® or cationic adjuvant formulation 01 (CAF®01). International Journal of Pharmaceutics. 648. 123581–123581. 2 indexed citations

Thakur, Aneesh, Abishek Wadhwa, Abhijeet Lokras, et al.. (2023). Method of manufacturing CAF®09 liposomes affects immune responses induced by adjuvanted subunit proteins. European Journal of Pharmaceutics and Biopharmaceutics. 189. 84–97. 3 indexed citations

Aljabbari, Anas, Abhijeet Lokras, Jacob J. K. Kirkensgaard, et al.. (2022). Elucidating the nanostructure of small interfering RNA-loaded lipidoid-polymer hybrid nanoparticles. Journal of Colloid and Interface Science. 633. 907–922. 19 indexed citations

Xu, You, Aneesh Thakur, Yibang Zhang, & Camilla Foged. (2021). Inhaled RNA Therapeutics for Obstructive Airway Diseases: Recent Advances and Future Prospects. Pharmaceutics. 13(2). 177–177. 26 indexed citations

10.

Lokras, Abhijeet, Aneesh Thakur, Abishek Wadhwa, et al.. (2021). Optimizing the Intracellular Delivery of Therapeutic Anti-inflammatory TNF-α siRNA to Activated Macrophages Using Lipidoid-Polymer Hybrid Nanoparticles. Frontiers in Bioengineering and Biotechnology. 8. 601155–601155. 14 indexed citations

11.

Reinke, Sören, et al.. (2020). Inflammasome-Mediated Immunogenicity of Clinical and Experimental Vaccine Adjuvants. Vaccines. 8(3). 554–554. 48 indexed citations

12.

Thakur, Aneesh, Fernanda E. Pinto, Harald S. Hansen, et al.. (2020). Intrapulmonary (i.pulmon.) Pull Immunization With the Tuberculosis Subunit Vaccine Candidate H56/CAF01 After Intramuscular (i.m.) Priming Elicits a Distinct Innate Myeloid Response and Activation of Antigen-Presenting Cells Than i.m. or i.pulmon. Prime Immunization Alone. Frontiers in Immunology. 11. 803–803. 17 indexed citations

13.

Zhang, Yibang, Aneesh Thakur, Ruyan Li, et al.. (2019). One-pot synthesis and characterization of ovalbumin-conjugated gold nanoparticles: A comparative study of adjuvanticity against the physical mixture of ovalbumin and gold nanoparticles. International Journal of Pharmaceutics. 571. 118704–118704. 18 indexed citations

14.

Thakur, Aneesh, Heidi Mikkelsen, Joshua S. Woodworth, et al.. (2018). Targeting the Mincle and TLR3 receptor using the dual agonist cationic adjuvant formulation 9 (CAF09) induces humoral and polyfunctional memory T cell responses in calves. PLoS ONE. 13(7). e0201253–e0201253. 18 indexed citations

15.

Thakur, Aneesh, Cristina Rodríguez‐Rodríguez, Katayoun Saatchi, et al.. (2018). Dual-Isotope SPECT/CT Imaging of the Tuberculosis Subunit Vaccine H56/CAF01: Induction of Strong Systemic and Mucosal IgA and T-Cell Responses in Mice Upon Subcutaneous Prime and Intrapulmonary Boost Immunization. Frontiers in Immunology. 9. 2825–2825. 21 indexed citations

16.

Thakur, Aneesh, et al.. (2017). Differences in innate and adaptive immune response traits of Pahari (Indian non-descript indigenous breed) and Jersey crossbred cattle. Veterinary Immunology and Immunopathology. 192. 20–27. 4 indexed citations

17.

Thakur, Aneesh, et al.. (2016). First detection of canine parvovirus type 2b from diarrheic dogs in Himachal Pradesh. Veterinary World. 9(9). 964–969. 10 indexed citations

18.

Thakur, Aneesh, Ulla Riber, William C. Davis, & Gregers Jungersen. (2013). Increasing the ex vivo antigen-specific IFN-γ production in subpopulations of T cells and NKp46+ cells by anti-CD28, anti-CD49d and recombinant IL-12 costimulation in cattle vaccinated with recombinant proteins from Mycobacterium avium subspecies paratuberculosis. Veterinary Immunology and Immunopathology. 155(4). 276–283. 6 indexed citations

19.

Thakur, Aneesh, Lasse Eggers Pedersen, & Gregers Jungersen. (2012). Immune markers and correlates of protection for vaccine induced immune responses. Vaccine. 30(33). 4907–4920. 123 indexed citations

20.

Nielsen, Søren Saxmose, et al.. (2011). Characterization of the long-term immune response to vaccination against Mycobacterium avium subsp. paratuberculosis in Danish dairy cows. Veterinary Immunology and Immunopathology. 145(1-2). 316–322. 12 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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