Saran Kumar

1.8k total citations
39 papers, 954 citations indexed

About

Saran Kumar is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Saran Kumar has authored 39 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Saran Kumar's work include Cancer Cells and Metastasis (6 papers), Advancements in Transdermal Drug Delivery (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Saran Kumar is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Advancements in Transdermal Drug Delivery (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Saran Kumar collaborates with scholars based in India, United States and Israel. Saran Kumar's co-authors include Ruowen Ge, A. Waseem Malick, Eli Keshet, Myriam Grunewald, Christian Behl, Maxim Mogilevsky, Rotem Karni, Yasmine Amitay, Alberto Gabizón and Hilary Shmeeda and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Saran Kumar

35 papers receiving 932 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saran Kumar India 18 464 217 172 166 123 39 954
John A. Muraski United States 15 907 2.0× 82 0.4× 238 1.4× 106 0.6× 102 0.8× 18 1.5k
Hyang‐Hwa Ryu South Korea 15 277 0.6× 84 0.4× 43 0.3× 106 0.6× 78 0.6× 27 699
Junnian Zhou China 20 709 1.5× 283 1.3× 53 0.3× 228 1.4× 119 1.0× 46 1.4k
Lian Cui China 15 612 1.3× 231 1.1× 42 0.2× 167 1.0× 447 3.6× 22 1.3k
Seung Woo Chung South Korea 20 493 1.1× 118 0.5× 111 0.6× 257 1.5× 71 0.6× 47 1.0k
Jiahui Mao China 17 767 1.7× 443 2.0× 34 0.2× 104 0.6× 111 0.9× 47 1.1k
Kay D. Rittenhouse United States 16 427 0.9× 43 0.2× 134 0.8× 48 0.3× 61 0.5× 33 1.1k
Ranyi Liu China 22 767 1.7× 411 1.9× 52 0.3× 431 2.6× 165 1.3× 52 1.5k
Simona Russo Italy 16 526 1.1× 205 0.9× 18 0.1× 196 1.2× 166 1.3× 32 1.1k
Ye Feng China 12 426 0.9× 93 0.4× 41 0.2× 209 1.3× 356 2.9× 20 1.1k

Countries citing papers authored by Saran Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Saran Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saran Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Saran Kumar. A scholar is included among the top collaborators of Saran 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 Saran Kumar. Saran 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
1.
Raha, Arnab, Tanoy Dutta, Apurba Lal Koner, et al.. (2025). Zebrafish model of palmitic acid induced MAFLD recapitulates pathways conserved in mice and humans. Scientific Reports. 15(1). 33343–33343.
2.
Hemlata, Hemlata, Shashank Bhushan Das, S. B. Roy, et al.. (2025). Surface modified hollow and porous magnetoelectric nanosphere with disintegration capability for magnetically assisted catalytic degradation of organic pollutants. Applied Surface Science. 720. 165203–165203.
3.
Kumar, Saran, et al.. (2025). Epigenetic co-regulator HCF-1 promotes lung cancer via O-GlcNAcylation-dependent pathways. PubMed. 33(4). 201046–201046.
4.
Kukal, Samiksha, J. Prakash, Sthitadhi Roy, et al.. (2025). Nanomaterials for biomedical applications: Addressing regulatory hurdles and strategic solutions. SHILAP Revista de lepidopterología. 11. 100127–100127. 3 indexed citations
5.
6.
Bhat, Anjali, et al.. (2025). i-Motifs as regulatory switches: Mechanisms and implications for gene expression. Molecular Therapy — Nucleic Acids. 36(1). 102474–102474. 6 indexed citations
7.
Kukal, Samiksha, et al.. (2024). A quartet of cancer stem cell niches in hepatocellular carcinoma. Cytokine & Growth Factor Reviews. 79. 39–51. 4 indexed citations
8.
Sharma, Atul, Sameer Bakhshi, Prabhat Singh Malik, et al.. (2024). Topical Diclofenac for Prevention of Capecitabine-Associated Hand-Foot Syndrome: A Double-Blind Randomized Controlled Trial. Journal of Clinical Oncology. 42(15). 1821–1829. 13 indexed citations
9.
Mahadevappa, Ravikiran, et al.. (2022). Cancer plasticity: Investigating the causes for this agility. Seminars in Cancer Biology. 88. 138–156. 17 indexed citations
10.
Kumar, Saran, Myriam Grunewald, Maxim Mogilevsky, et al.. (2022). Identification of vascular cues contributing to cancer cell stemness and function. Angiogenesis. 25(3). 355–371. 14 indexed citations
11.
Kumar, Saran, et al.. (2020). Isolation of Tumor Cells Based on Their Distance from Blood Vessels. BIO-PROTOCOL. 10(10). e3628–e3628. 6 indexed citations
12.
Kumar, Saran, Tirzah Kreisel, Maxim Mogilevsky, et al.. (2019). Intra-Tumoral Metabolic Zonation and Resultant Phenotypic Diversification Are Dictated by Blood Vessel Proximity. Cell Metabolism. 30(1). 201–211.e6. 82 indexed citations
13.
Patil, Yogita P., Hilary Shmeeda, Yasmine Amitay, et al.. (2018). Targeting of folate-conjugated liposomes with co-entrapped drugs to prostate cancer cells via prostate-specific membrane antigen (PSMA). Nanomedicine Nanotechnology Biology and Medicine. 14(4). 1407–1416. 57 indexed citations
14.
Kumar, Saran, et al.. (2012). ADAMTS5 Functions as an Anti-Angiogenic and Anti-Tumorigenic Protein Independent of Its Proteoglycanase Activity. American Journal Of Pathology. 181(3). 1056–1068. 61 indexed citations
15.
Shmeeda, Hilary, Yasmine Amitay, Jenny Gorin, et al.. (2010). Delivery of zoledronic acid encapsulated in folate-targeted liposome results in potent in vitro cytotoxic activity on tumor cells. Journal of Controlled Release. 146(1). 76–83. 77 indexed citations
16.
Shmeeda, Hilary, Jenny Gorin, Lidia Mak, et al.. (2007). Intracellular delivery of liposome-encapsulated zoledronic acid via folate receptor results in significant inhibition of tumor cell growth. Molecular Cancer Therapeutics. 6. 1 indexed citations
17.
Kumar, Saran, et al.. (1993). The Influence of Blood Sampling Site in Nasal Drug Delivery Studies in Rats. Pharmaceutical Research. 10(9). 1378–1380. 2 indexed citations
18.
Kumar, Saran, et al.. (1992). Effect of Iontophoresis on In Vitro Skin Permeation of an Analogue of Growth Hormone Releasing Factor in the Hairless Guinea Pig Model. Journal of Pharmaceutical Sciences. 81(7). 635–639. 28 indexed citations
19.
Behl, Christian, et al.. (1989). Iontophoretic Drug Delivery: Effects of Physicochemical Factors on the Skin Uptake of Nonpeptide Drugs. Journal of Pharmaceutical Sciences. 78(5). 355–360. 33 indexed citations
20.
Kumar, Saran, et al.. (1989). A Simple Microwave Technique for the Separation of Epidermis and Dermis in Skin Uptake Studies. Pharmaceutical Research. 6(8). 740–741. 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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