Uday Kumar Sukumar

2.7k total citations
60 papers, 2.1k citations indexed

About

Uday Kumar Sukumar is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Uday Kumar Sukumar has authored 60 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 24 papers in Molecular Biology and 14 papers in Biomaterials. Recurrent topics in Uday Kumar Sukumar's work include RNA Interference and Gene Delivery (12 papers), Extracellular vesicles in disease (11 papers) and Nanoplatforms for cancer theranostics (10 papers). Uday Kumar Sukumar is often cited by papers focused on RNA Interference and Gene Delivery (12 papers), Extracellular vesicles in disease (11 papers) and Nanoplatforms for cancer theranostics (10 papers). Uday Kumar Sukumar collaborates with scholars based in India, United States and Belgium. Uday Kumar Sukumar's co-authors include P. Gopinath, Bharat Bhushan, Ishita Matai, Abhay Sachdev, Poornima Dubey, Ramasamy Paulmurugan, Tarik F. Massoud, Rayhaneh Afjei, Sanjiv S. Gambhir and Rajendran JC Bose and has published in prestigious journals such as ACS Nano, PLoS ONE and Biomaterials.

In The Last Decade

Uday Kumar Sukumar

57 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uday Kumar Sukumar India 25 869 828 623 567 322 60 2.1k
Peifeng Liu China 29 1.3k 1.5× 885 1.1× 700 1.1× 410 0.7× 158 0.5× 97 2.5k
Mohammad Amini Iran 26 1.0k 1.2× 812 1.0× 513 0.8× 352 0.6× 528 1.6× 86 2.2k
Hirak K. Patra United Kingdom 24 610 0.7× 905 1.1× 593 1.0× 852 1.5× 117 0.4× 59 2.4k
Qingqing Xiong China 25 676 0.8× 604 0.7× 463 0.7× 571 1.0× 160 0.5× 80 2.1k
Yue Luo China 25 834 1.0× 861 1.0× 335 0.5× 608 1.1× 318 1.0× 69 2.4k
Mengjiao Zhou China 23 554 0.6× 859 1.0× 566 0.9× 479 0.8× 157 0.5× 74 1.8k
Sedigheh Fekri Aval Iran 15 695 0.8× 592 0.7× 494 0.8× 599 1.1× 143 0.4× 22 2.0k
In‐Kyu Park South Korea 26 834 1.0× 1.1k 1.4× 732 1.2× 408 0.7× 184 0.6× 62 2.3k
Ayuob Aghanejad Iran 36 866 1.0× 1.2k 1.5× 934 1.5× 317 0.6× 169 0.5× 81 2.7k
Yanhua Zhu China 20 641 0.7× 708 0.9× 566 0.9× 372 0.7× 102 0.3× 54 1.7k

Countries citing papers authored by Uday Kumar Sukumar

Since Specialization
Citations

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

Fields of papers citing papers by Uday Kumar Sukumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uday Kumar Sukumar. 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 Uday Kumar Sukumar. The network helps show where Uday Kumar Sukumar may publish in the future.

Co-authorship network of co-authors of Uday Kumar Sukumar

This figure shows the co-authorship network connecting the top 25 collaborators of Uday Kumar Sukumar. A scholar is included among the top collaborators of Uday Kumar Sukumar 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 Uday Kumar Sukumar. Uday Kumar Sukumar 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
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2.
Reddy, K. Anki, et al.. (2024). Circulating Extracellular Vesicles as Promising Biomarkers for Precession Diagnostics: A Perspective on Lung Cancer. ACS Biomaterials Science & Engineering. 11(1). 95–134. 5 indexed citations
3.
Sukumar, Uday Kumar, et al.. (2023). Surface-Engineered Extracellular Vesicles in Cancer Immunotherapy. Cancers. 15(10). 2838–2838. 48 indexed citations
4.
5.
Afjei, Rayhaneh, Uday Kumar Sukumar, Mallesh Pandrala, et al.. (2022). A New Nrf2 Inhibitor Enhances Chemotherapeutic Effects in Glioblastoma Cells Carrying p53 Mutations. Cancers. 14(24). 6120–6120. 15 indexed citations
6.
Sukumar, Uday Kumar, et al.. (2022). A rationally identified panel of microRNAs targets multiple oncogenic pathways to enhance chemotherapeutic effects in glioblastoma models. Scientific Reports. 12(1). 12017–12017. 11 indexed citations
7.
Telichko, Arsenii, Rehman Ali, Huaijun Wang, et al.. (2021). Noninvasive estimation of local speed of sound by pulse-echo ultrasound in a rat model of nonalcoholic fatty liver. Physics in Medicine and Biology. 67(1). 15007–15007. 17 indexed citations
8.
Ali, Rehman, Arsenii Telichko, Huaijun Wang, et al.. (2021). Local Sound Speed Estimation for Pulse-Echo Ultrasound in Layered Media. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 69(2). 500–511. 24 indexed citations
9.
Wang, Huaijun, Zhongqian Hu, Uday Kumar Sukumar, et al.. (2021). Ultrasound-Guided Microbubble-Mediated Locoregional Delivery of Multiple MicroRNAs Improves Chemotherapy in Hepatocellular Carcinoma. Nanotheranostics. 6(1). 62–78. 8 indexed citations
10.
Bose, Rajendran JC, Nagendran Tharmalingam, Fernando Jose Garcia-Marques, et al.. (2020). Reconstructed Apoptotic Bodies as Targeted “Nano Decoys” to Treat Intracellular Bacterial Infections within Macrophages and Cancer Cells. ACS Nano. 14(5). 5818–5835. 65 indexed citations
11.
Telichko, Arsenii, Huaijun Wang, Sunitha V. Bachawal, et al.. (2020). Therapeutic Ultrasound Parameter Optimization for Drug Delivery Applied to a Murine Model of Hepatocellular Carcinoma. Ultrasound in Medicine & Biology. 47(2). 309–322. 13 indexed citations
12.
Chowdhury, Sayan Mullick, Taehwa Lee, Huaijun Wang, et al.. (2020). Ultrasound-mediated delivery of miRNA-122 and anti-miRNA-21 therapeutically immunomodulates murine hepatocellular carcinoma in vivo. Journal of Controlled Release. 321. 272–284. 53 indexed citations
13.
Kim, Sung Bae, Sharon S. Hori, Uday Kumar Sukumar, et al.. (2020). Highly sensitive eight-channel light sensing system for biomedical applications. Photochemical & Photobiological Sciences. 19(4). 524–529. 3 indexed citations
14.
15.
Bose, Rajendran JC, Uday Kumar Sukumar, Yitian Zeng, et al.. (2018). Tumor Cell-Derived Extracellular Vesicle-Coated Nanocarriers: An Efficient Theranostic Platform for the Cancer-Specific Delivery of Anti-miR-21 and Imaging Agents. ACS Nano. 12(11). 10817–10832. 189 indexed citations
16.
Sauraj, Uday Kumar Sukumar, Vinay Kumar, et al.. (2018). pH-responsive prodrug nanoparticles based on xylan-curcumin conjugate for the efficient delivery of curcumin in cancer therapy. Carbohydrate Polymers. 188. 252–259. 97 indexed citations
17.
Sukumar, Uday Kumar, Bharat Bhushan, & P. Gopinath. (2017). Bioactive carbon dots lights up microtubules and destabilises cell cytoskeletal framework – A robust imaging agent with therapeutic activity. Colloids and Surfaces B Biointerfaces. 159. 662–672. 9 indexed citations
18.
Sukumar, Uday Kumar & P. Gopinath. (2015). Controlled delivery of bPEI–niclosamide complexes by PEO nanofibers and evaluation of its anti-neoplastic potentials. Colloids and Surfaces B Biointerfaces. 131. 170–181. 29 indexed citations
19.
Matai, Ishita, Abhay Sachdev, Poornima Dubey, et al.. (2013). Antibacterial activity and mechanism of Ag–ZnO nanocomposite on S. aureus and GFP-expressing antibiotic resistant E. coli. Colloids and Surfaces B Biointerfaces. 115. 359–367. 254 indexed citations
20.
Sukumar, Uday Kumar & Rajiv K. Saxena. (1991). Antigenic epitopes onMycobacterium tuberculosisrecognized by antibodies in tuberculosis and mouse antisera. FEMS Microbiology Letters. 76(1). 7–12. 6 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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