Sandeep Kumar

5.8k total citations · 1 hit paper
129 papers, 4.1k citations indexed

About

Sandeep Kumar is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Sandeep Kumar has authored 129 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 23 papers in Cancer Research and 22 papers in Immunology. Recurrent topics in Sandeep Kumar's work include MicroRNA in disease regulation (16 papers), Cancer-related molecular mechanisms research (16 papers) and Atherosclerosis and Cardiovascular Diseases (9 papers). Sandeep Kumar is often cited by papers focused on MicroRNA in disease regulation (16 papers), Cancer-related molecular mechanisms research (16 papers) and Atherosclerosis and Cardiovascular Diseases (9 papers). Sandeep Kumar collaborates with scholars based in United States, India and South Korea. Sandeep Kumar's co-authors include Hanjoong Jo, Chan Woo Kim, Sudhiranjan Gupta, Sandhya L. Sitasawad, Rachel Simmons, Dong Won Kang, Dong Ju Son, Vasundhara Kain, Chuanyu Wei and Reena Kumari and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Sandeep Kumar

117 papers receiving 4.1k citations

Hit Papers

Single-cell transcriptomes of the regenerating intestine ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandeep Kumar United States 38 2.1k 1.0k 705 551 537 129 4.1k
Ying� Qin China 33 3.4k 1.6× 1.1k 1.1× 467 0.7× 679 1.2× 380 0.7× 133 5.2k
Christopher D. Kontos United States 40 3.2k 1.6× 742 0.7× 538 0.8× 584 1.1× 386 0.7× 88 5.1k
Junling Liu China 35 1.6k 0.8× 446 0.4× 615 0.9× 484 0.9× 423 0.8× 181 4.1k
Qingzhong Xiao United Kingdom 44 3.3k 1.6× 1.5k 1.4× 1.1k 1.5× 549 1.0× 510 0.9× 128 5.9k
Changqian Wang China 34 3.0k 1.5× 2.0k 2.0× 621 0.9× 779 1.4× 430 0.8× 123 5.4k
Y. Eugene Chen United States 39 2.6k 1.2× 660 0.6× 699 1.0× 567 1.0× 539 1.0× 143 5.0k
Yunchao Su United States 36 2.1k 1.0× 583 0.6× 637 0.9× 545 1.0× 975 1.8× 105 5.0k
De‐Li Dong China 33 2.5k 1.2× 558 0.5× 430 0.6× 756 1.4× 267 0.5× 105 4.0k
Bruno Galy Germany 36 2.5k 1.2× 716 0.7× 364 0.5× 301 0.5× 789 1.5× 63 7.2k
Akihide Tanimoto Japan 39 1.7k 0.8× 743 0.7× 836 1.2× 427 0.8× 669 1.2× 262 4.9k

Countries citing papers authored by Sandeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Kumar. A scholar is included among the top collaborators of Sandeep Kumar 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 Sandeep Kumar. Sandeep Kumar 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
2.
Balkrishna, Acharya, Rishabh Dev, Sandeep Kumar, & Anurag Varshney. (2024). Coronil effectively inhibits the interaction of clinically relevant Omicron mutants of SARS-CoV-2 spike proteins with human ACE2 receptor. Phytomedicine Plus. 5(1). 100705–100705. 1 indexed citations
3.
Samota, Mahesh Kumar, et al.. (2024). Exploring natural chalcones: innovative extraction techniques, bioactivities, and health potential. Sustainable Food Technology. 2(5). 1456–1468. 11 indexed citations
5.
Kumar, Sandeep, et al.. (2022). A review on nutritional and medicinal properties of guava (Psidium guajava L.). Annals of Phytomedicine An International Journal. 11(2). 7 indexed citations
6.
Yeh, Chih‐Fan, Tzu‐Pin Shentu, Ru‐Ting Huang, et al.. (2022). Targeting mechanosensitive endothelial TXNDC5 to stabilize eNOS and reduce atherosclerosis in vivo. Science Advances. 8(3). eabl8096–eabl8096. 22 indexed citations
7.
Dolmatova, Elena, Steven J. Forrester, Keke Wang, et al.. (2021). Endothelial Poldip2 regulates sepsis-induced lung injury via Rho pathway activation. Cardiovascular Research. 118(11). 2506–2518. 17 indexed citations
8.
Kumari, Nisha, et al.. (2021). Moringa (Moringa oleifera L.): An underutilized and traditionally valued tree holding remarkable potential. Journal of Horticultural Sciences. 16(1). 1–13. 1 indexed citations
9.
Kumari, Nisha, et al.. (2021). Moringa (Moringa oleifera L.): An underutilized and traditionally valued tree holding remarkable potential. SHILAP Revista de lepidopterología. 16(1). 1–13. 6 indexed citations
10.
Kumar, Sandeep, Aitor Andueza, Nicolas Villa-Roel, et al.. (2021). Isolation of Endothelial Cells from the Lumen of Mouse Carotid Arteries for Single-Cell Multi-Omics Experiments. Journal of Visualized Experiments. 4 indexed citations
11.
Dosta, Pere, Ian A. Tamargo, Víctor Ramos, et al.. (2021). Delivery of Anti‐microRNA‐712 to Inflamed Endothelial Cells Using Poly(β‐amino ester) Nanoparticles Conjugated with VCAM‐1 Targeting Peptide. Advanced Healthcare Materials. 10(15). e2001894–e2001894. 52 indexed citations
12.
Kumari, Reena, Sandeep Kumar, & Ravi Kant. (2019). An update on metabolic syndrome: Metabolic risk markers and adipokines in the development of metabolic syndrome. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(4). 2409–2417. 100 indexed citations
13.
Mishra, Supriya, et al.. (2018). Association of acylation stimulating protein and adiponectin with metabolic risk marker in North Indian obese women. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(5). 2987–2990. 6 indexed citations
14.
15.
Kumar, Sandeep, et al.. (2017). Genetic analysis for various agromorphological and quality traits in bread wheat (Triticum aestivum). The Indian Journal of Agricultural Sciences. 87(10). 1 indexed citations
16.
Kumar, Sandeep, Dong Won Kang, Amir Rezvan, & Hanjoong Jo. (2017). Accelerated atherosclerosis development in C57Bl6 mice by overexpressing AAV-mediated PCSK9 and partial carotid ligation. Laboratory Investigation. 97(8). 935–945. 74 indexed citations
17.
Bhatia, Vikram, Madhu Mati Goel, Annu Makker, et al.. (2014). Promoter Region Hypermethylation and mRNA Expression ofMGMTandp16Genes in Tissue and Blood Samples of Human Premalignant Oral Lesions and Oral Squamous Cell Carcinoma. BioMed Research International. 2014. 1–10. 29 indexed citations
18.
Maiti, Sanjit, et al.. (2014). Mammary gland tumours in male dogs: a hormonal and tumour marker study.. Veterinarski arhiv. 84(5). 537–548. 7 indexed citations
19.
Gupta, Vani, Abhishek Gupta, Tabrez Jafar, et al.. (2011). Association of TNF-α promoter gene G-308A polymorphism with metabolic syndrome, insulin resistance, serum TNF-α and leptin levels in Indian adult women. Cytokine. 57(1). 32–36. 41 indexed citations
20.
Puranik, Amrutesh S., Ganesh V. Halade, Sandeep Kumar, et al.. (2010). Cassia auriculata: Aspects of Safety Pharmacology and Drug Interaction. Evidence-based Complementary and Alternative Medicine. 2011(1). 915240–915240. 13 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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