Ashish Kulkarni

2.3k total citations
56 papers, 1.7k citations indexed

About

Ashish Kulkarni is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Ashish Kulkarni has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 26 papers in Immunology and 16 papers in Biomedical Engineering. Recurrent topics in Ashish Kulkarni's work include Nanoplatforms for cancer theranostics (12 papers), Inflammasome and immune disorders (11 papers) and Phagocytosis and Immune Regulation (11 papers). Ashish Kulkarni is often cited by papers focused on Nanoplatforms for cancer theranostics (12 papers), Inflammasome and immune disorders (11 papers) and Phagocytosis and Immune Regulation (11 papers). Ashish Kulkarni collaborates with scholars based in United States, India and Canada. Ashish Kulkarni's co-authors include Anujan Ramesh, Dipika Nandi, Sahana Kumar, Suri S. Iyer, Siva Kumar Natarajan, Shiladitya Sengupta, Alison A. Weiss, Vineethkrishna Chandrasekar, Prithvi Raj Pandey and Venkata Sabbisetti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Ashish Kulkarni

54 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashish Kulkarni United States 24 702 696 674 306 275 56 1.7k
John W. Hickey United States 18 460 0.7× 592 0.9× 879 1.3× 527 1.7× 221 0.8× 48 1.9k
Davoud Ahmadvand Iran 25 520 0.7× 449 0.6× 877 1.3× 416 1.4× 475 1.7× 68 1.9k
Joshua C. Doloff United States 19 392 0.6× 445 0.6× 824 1.2× 283 0.9× 208 0.8× 40 1.7k
Neha N. Parayath United States 19 555 0.8× 620 0.9× 927 1.4× 457 1.5× 386 1.4× 29 1.8k
Xinyue Dong United States 20 763 1.1× 469 0.7× 790 1.2× 152 0.5× 391 1.4× 42 1.9k
John‐Michael Williford United States 10 347 0.5× 342 0.5× 473 0.7× 302 1.0× 312 1.1× 11 1.2k
Sandro Matosevic United States 24 462 0.7× 977 1.4× 833 1.2× 879 2.9× 312 1.1× 47 2.4k
Jinsheng Huang China 27 848 1.2× 395 0.6× 754 1.1× 287 0.9× 406 1.5× 67 2.0k
Yuqing Xie China 14 530 0.8× 603 0.9× 461 0.7× 522 1.7× 187 0.7× 31 1.4k
Kuo‐Ching Mei United States 18 490 0.7× 281 0.4× 438 0.6× 171 0.6× 331 1.2× 32 1.1k

Countries citing papers authored by Ashish Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Kulkarni. A scholar is included among the top collaborators of Ashish Kulkarni 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 Ashish Kulkarni. Ashish Kulkarni 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.
Fish, A J, et al.. (2025). Engineered Immunoagonist Non‐Coding RNA (incRNA) Activates Dual TLR Pathways for Cancer Immunotherapy. Advanced Healthcare Materials. 15(2). e03771–e03771.
2.
Kulkarni, Ashish, et al.. (2025). Impact of ionizable groups in star polymer nanoparticles on NLRP3 inflammasome activation. Biomaterials Science. 13(7). 1709–1720. 1 indexed citations
3.
Byranvand, Mahdi Malekshahi, Theresa Magorian Friedlmeier, Chittaranjan Das, et al.. (2025). All-inorganic CsPbI2Br perovskite solar cells with thermal stability at 250 °C and moisture-resilience via polymeric protection layers. Energy & Environmental Science. 18(4). 1920–1928. 14 indexed citations
4.
Nandi, Dipika, et al.. (2024). Nanoparticle-mediated co-delivery of inflammasome inhibitors provides protection against sepsis. Nanoscale. 16(9). 4678–4690. 10 indexed citations
5.
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
6.
Kang, Sung Bum, Gaurav Singhal, Ashish Kulkarni, et al.. (2024). Highly Ordered Eutectic Mesostructures via Template‐Directed Solidification within Thermally Engineered Templates. Advanced Materials. 36(15). 2 indexed citations
7.
Patel, Ruchi, et al.. (2024). Varying the hydrophobic core composition of polymeric nanoparticles affects NLRP3 inflammasome activation. Biomaterials Science. 12(18). 4790–4805. 3 indexed citations
8.
9.
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
10.
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
11.
Kulkarni, Ashish, et al.. (2023). Neuroprotective action of Smilax china ethanolic bark extract in treatment of a prominent aging disorder: Parkinson’s disease induced by rotenone. SHILAP Revista de lepidopterología. 9(1). 2 indexed citations
12.
13.
Deshpande, Nilesh, et al.. (2021). Engineered Multifunctional Nano‐ and Biological Materials for Cancer Immunotherapy. Advanced Healthcare Materials. 10(6). e2001680–e2001680. 28 indexed citations
14.
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
15.
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
16.
Pandya, Hardik J., Vineethkrishna Chandrasekar, Siva Kumar Natarajan, et al.. (2017). A microfluidic platform for drug screening in a 3D cancer microenvironment. Biosensors and Bioelectronics. 94. 632–642. 54 indexed citations
17.
Kulkarni, Ashish, et al.. (2016). Sustained inhibition of cMET-VEGFR2 signaling using liposome-mediated delivery increases efficacy and reduces toxicity in kidney cancer. Nanomedicine Nanotechnology Biology and Medicine. 12(7). 1853–1861. 30 indexed citations
18.
Gaharwar, Akhilesh K., Silvia M. Mihăilă, Ashish Kulkarni, et al.. (2014). Amphiphilic beads as depots for sustained drug release integrated into fibrillar scaffolds. Journal of Controlled Release. 187. 66–73. 61 indexed citations
19.
Pandey, Ambarish, Ashish Kulkarni, Bhaskar Roy, et al.. (2013). Sequential Application of a Cytotoxic Nanoparticle and a PI3K Inhibitor Enhances Antitumor Efficacy. Cancer Research. 74(3). 675–685. 27 indexed citations
20.
Kulkarni, Ashish, Bhaskar Roy, Gregory A. Wyant, et al.. (2013). Supramolecular Nanoparticles That Target Phosphoinositide-3-Kinase Overcome Insulin Resistance and Exert Pronounced Antitumor Efficacy. Cancer Research. 73(23). 6987–6997. 20 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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