Anujan Ramesh

874 total citations
19 papers, 739 citations indexed

About

Anujan Ramesh is a scholar working on Immunology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Anujan Ramesh has authored 19 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 9 papers in Molecular Biology and 7 papers in Biomedical Engineering. Recurrent topics in Anujan Ramesh's work include Immune cells in cancer (10 papers), Phagocytosis and Immune Regulation (8 papers) and Nanoplatforms for cancer theranostics (6 papers). Anujan Ramesh is often cited by papers focused on Immune cells in cancer (10 papers), Phagocytosis and Immune Regulation (8 papers) and Nanoplatforms for cancer theranostics (6 papers). Anujan Ramesh collaborates with scholars based in United States. Anujan Ramesh's co-authors include Ashish Kulkarni, Sahana Kumar, Dipika Nandi, Siva Kumar Natarajan, Anh Hiep Nguyen, Prithvi Raj Pandey, Shiladitya Sengupta, Vineethkrishna Chandrasekar, Amrendra K. Ajay and Leonid A. Pobezinsky and has published in prestigious journals such as Advanced Materials, Biomaterials and Advanced Functional Materials.

In The Last Decade

Anujan Ramesh

18 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anujan Ramesh United States 11 519 332 232 179 99 19 739
Sahana Kumar United States 8 339 0.7× 223 0.7× 135 0.6× 120 0.7× 63 0.6× 11 495
Jonathan Wilhelm United States 8 468 0.9× 197 0.6× 380 1.6× 153 0.9× 91 0.9× 15 809
Maaz S. Ahmed United States 7 708 1.4× 461 1.4× 316 1.4× 254 1.4× 160 1.6× 9 1.1k
Margaret P. Manspeaker United States 11 342 0.7× 205 0.6× 161 0.7× 292 1.6× 102 1.0× 13 612
Elizabeth E. Sweeney United States 15 243 0.5× 470 1.4× 235 1.0× 202 1.1× 109 1.1× 21 786
Meghan J. O’Melia United States 11 257 0.5× 178 0.5× 115 0.5× 291 1.6× 56 0.6× 17 554
Jeremiah L. Oyer United States 15 449 0.9× 149 0.4× 289 1.2× 406 2.3× 26 0.3× 33 914
Simona Ferro Italy 6 287 0.6× 161 0.5× 333 1.4× 194 1.1× 61 0.6× 6 674
Weishuo Li China 7 197 0.4× 224 0.7× 154 0.7× 98 0.5× 76 0.8× 10 435
Vineethkrishna Chandrasekar United States 6 189 0.4× 221 0.7× 124 0.5× 120 0.7× 63 0.6× 7 394

Countries citing papers authored by Anujan Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by Anujan Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anujan Ramesh

This figure shows the co-authorship network connecting the top 25 collaborators of Anujan Ramesh. A scholar is included among the top collaborators of Anujan Ramesh 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 Anujan Ramesh. Anujan Ramesh 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.
Ramesh, Anujan, et al.. (2025). Ultra-high concentration low-viscosity subcutaneous antibody formulations using ionic liquids. Journal of Controlled Release. 388(Pt 1). 114295–114295.
2.
Nguyen, Anh Hiep, Anujan Ramesh, A J Fish, & Ashish Kulkarni. (2024). Dual‐Sensing Nanoreporter for Dynamic and High‐Throughput Monitoring of Immune Checkpoint Inhibitor Responses in Tumor‐Derived Organoids. Advanced Functional Materials. 34(33). 5 indexed citations
3.
Ramesh, Anujan, et al.. (2023). Activatable Nanoreporters for Real‐Time Tracking of Macrophage Phenotypic States Associated with Disease Progression. Small. 19(41). e2300978–e2300978. 1 indexed citations
4.
Nandi, Dipika, et al.. (2023). Nanoreporter for Real‐Time Monitoring of Inflammasome Activity and Targeted Therapy. Advanced Science. 10(6). e2204900–e2204900. 10 indexed citations
5.
Nandi, Dipika, et al.. (2023). Caspase-1 Responsive Nanoreporter for In Vivo Monitoring of Inflammasome Immunotherapy. ACS Applied Materials & Interfaces. 15(48). 55545–55558. 2 indexed citations
6.
Ramesh, Anujan, et al.. (2023). Protein Corona Formation on Lipid Nanoparticles Negatively Affects the NLRP3 Inflammasome Activation. Bioconjugate Chemistry. 34(10). 1766–1779. 32 indexed citations
7.
Ramesh, Anujan, et al.. (2022). Supramolecular nanotherapeutics enable metabolic reprogramming of tumor‐associated macrophages to inhibit tumor growth. Journal of Biomedical Materials Research Part A. 110(8). 1448–1459. 20 indexed citations
8.
Ramesh, Anujan, et al.. (2021). Rational combination of an immune checkpoint inhibitor with CSF1R inhibitor–loaded nanoparticle enhances anticancer efficacy. Drug Delivery and Translational Research. 11(6). 2317–2327. 13 indexed citations
9.
Ramesh, Anujan, et al.. (2021). TLR7/8 Agonist and SHP2 Inhibitor Loaded Nanoparticle Enhances Macrophage Immunotherapy Efficacy. Advanced Therapeutics. 4(8). 9 indexed citations
10.
Ramesh, Anujan, et al.. (2021). Supramolecular Nanotherapeutics for Macrophage Immunotherapy. ACS Applied Bio Materials. 4(6). 4653–4666. 9 indexed citations
11.
Nguyen, Anh Hiep, Anujan Ramesh, Sahana Kumar, et al.. (2020). Granzyme B nanoreporter for early monitoring of tumor response to immunotherapy. Science Advances. 6(40). 71 indexed citations
12.
Deshpande, Nilesh, et al.. (2020). Supramolecular Polysaccharide Nanotheranostics that Inhibit Cancer Cells Growth and Monitor Targeted Therapy Response. Nanotheranostics. 4(3). 156–172. 10 indexed citations
13.
Ramesh, Anujan, et al.. (2020). A Nitric Oxide (NO) Nanoreporter for Noninvasive Real‐Time Imaging of Macrophage Immunotherapy. Advanced Materials. 32(24). e2000648–e2000648. 85 indexed citations
14.
Kumar, Sahana, Anujan Ramesh, & Ashish Kulkarni. (2020). Targeting macrophages: a novel avenue for cancer drug discovery. Expert Opinion on Drug Discovery. 15(5). 561–574. 27 indexed citations
15.
Ramesh, Anujan, Siva Kumar Natarajan, Dipika Nandi, & Ashish Kulkarni. (2019). Dual Inhibitors-Loaded Nanotherapeutics that Target Kinase Signaling Pathways Synergize with Immune Checkpoint Inhibitor. Cellular and Molecular Bioengineering. 12(5). 357–373. 12 indexed citations
16.
Ramesh, Anujan, et al.. (2019). Dual inhibition of CSF1R and MAPK pathways using supramolecular nanoparticles enhances macrophage immunotherapy. Biomaterials. 227. 119559–119559. 76 indexed citations
17.
Ramesh, Anujan, Sahana Kumar, Dipika Nandi, & Ashish Kulkarni. (2019). CSF1R‐ and SHP2‐Inhibitor‐Loaded Nanoparticles Enhance Cytotoxic Activity and Phagocytosis in Tumor‐Associated Macrophages. Advanced Materials. 31(51). e1904364–e1904364. 162 indexed citations
18.
Ramesh, Anujan, et al.. (2019). Lipid-based phagocytosis nanoenhancer for macrophage immunotherapy. Nanoscale. 12(3). 1875–1885. 26 indexed citations
19.
Kulkarni, Ashish, Vineethkrishna Chandrasekar, Siva Kumar Natarajan, et al.. (2018). A designer self-assembled supramolecule amplifies macrophage immune responses against aggressive cancer. Nature Biomedical Engineering. 2(8). 589–599. 169 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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