Ram I. Mahato

12.1k total citations
198 papers, 9.6k citations indexed

About

Ram I. Mahato is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Ram I. Mahato has authored 198 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Molecular Biology, 42 papers in Surgery and 40 papers in Genetics. Recurrent topics in Ram I. Mahato's work include RNA Interference and Gene Delivery (73 papers), Advanced biosensing and bioanalysis techniques (32 papers) and Pancreatic function and diabetes (30 papers). Ram I. Mahato is often cited by papers focused on RNA Interference and Gene Delivery (73 papers), Advanced biosensing and bioanalysis techniques (32 papers) and Pancreatic function and diabetes (30 papers). Ram I. Mahato collaborates with scholars based in United States, Japan and India. Ram I. Mahato's co-authors include Ajit S. Narang, Virender Kumar, Yoshinobu Takakura, Michael Danquah, Sung Wan Kim, Mitsuru Hashida, Deepak Chitkara, Duane D. Miller, Rinku Dutta and Kun Cheng and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Ram I. Mahato

192 papers receiving 9.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ram I. Mahato United States 60 6.1k 1.7k 1.7k 1.4k 1.2k 198 9.6k
Hidetaka Akita Japan 52 7.6k 1.2× 1.7k 1.0× 2.5k 1.5× 583 0.4× 1.7k 1.4× 245 11.1k
Makiya Nishikawa Japan 56 9.1k 1.5× 1.6k 0.9× 1.3k 0.8× 2.2k 1.6× 1.8k 1.4× 313 12.4k
Yoshinobu Takakura Japan 61 10.3k 1.7× 1.5k 0.9× 1.9k 1.1× 2.4k 1.7× 1.9k 1.6× 360 14.6k
Jer‐Tsong Hsieh United States 63 7.5k 1.2× 2.0k 1.2× 746 0.4× 2.3k 1.6× 1.1k 0.9× 267 12.9k
Crispin R. Dass Australia 54 5.7k 0.9× 682 0.4× 2.3k 1.4× 1.6k 1.1× 1.8k 1.4× 223 11.5k
Rajagopal Ramesh United States 55 4.0k 0.7× 1.9k 1.1× 915 0.5× 1.1k 0.8× 882 0.7× 161 7.5k
Paturu Kondaiah India 52 4.8k 0.8× 747 0.4× 531 0.3× 660 0.5× 1.1k 0.9× 197 9.5k
Akin Akinc United States 32 8.2k 1.4× 1.5k 0.9× 1.4k 0.8× 1.5k 1.1× 1.1k 0.9× 52 9.9k
Hu‐Lin Jiang China 46 3.0k 0.5× 755 0.4× 1.8k 1.0× 563 0.4× 2.2k 1.8× 195 6.7k
Achim Aigner Germany 51 6.7k 1.1× 968 0.6× 1.1k 0.6× 2.0k 1.4× 1.0k 0.8× 204 9.2k

Countries citing papers authored by Ram I. Mahato

Since Specialization
Citations

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

Fields of papers citing papers by Ram I. Mahato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram I. Mahato. 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 Ram I. Mahato. The network helps show where Ram I. Mahato may publish in the future.

Co-authorship network of co-authors of Ram I. Mahato

This figure shows the co-authorship network connecting the top 25 collaborators of Ram I. Mahato. A scholar is included among the top collaborators of Ram I. Mahato 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 Ram I. Mahato. Ram I. Mahato 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.
Mahato, Ram I., et al.. (2025). Recent advances in drug delivery and treatment strategies for acute myeloid leukemia. International Journal of Pharmaceutics. 683. 126078–126078.
2.
Pramanik, Nilkamal, et al.. (2024). Recent advances in drug delivery and targeting for the treatment of pancreatic cancer. Journal of Controlled Release. 366. 231–260. 20 indexed citations
3.
Dong, Yuxiang, et al.. (2024). A novel phosphodiesterase inhibitor for the treatment of chronic liver injury and metabolic diseases. Hepatology. 81(4). 1288–1303. 3 indexed citations
4.
Bhatt, Vijaya Raj, Valerie Shostrom, Hannah Choe, et al.. (2024). A Multicenter Phase II Trial of Ruxolitinib for Treatment of Corticosteroid Refractory Sclerotic Chronic Graft-Versus-Host Disease. Journal of Clinical Oncology. 42(33). 3977–3985. 6 indexed citations
5.
Xin, Xiaofei, Yuxiang Dong, Virender Kumar, et al.. (2024). Anti-CLL1 liposome loaded with miR-497-5p and venetoclax as a novel therapeutic strategy in acute myeloid leukemia. Molecular Therapy. 32(11). 4058–4074. 4 indexed citations
6.
Kumar, Virender, et al.. (2022). Recent advances in drug delivery and targeting to the brain. Journal of Controlled Release. 350. 668–687. 70 indexed citations
7.
Kumar, Virender, et al.. (2021). Polymeric nanomedicine for overcoming resistance mechanisms in hedgehog and Myc-amplified medulloblastoma. Biomaterials. 278. 121138–121138. 19 indexed citations
8.
Wang, Hao, Yongyan Song, Yuxin Wu, et al.. (2021). Activation of dsRNA-Dependent Protein Kinase R by miR-378 Sustains Metabolic Inflammation in Hepatic Insulin Resistance. Diabetes. 70(3). 710–719. 15 indexed citations
9.
Peng, Yang, Di Wen, Feng Lin, & Ram I. Mahato. (2018). Co-delivery of siAlox15 and sunitinib for reversing the new-onset of type 1 diabetes in non-obese diabetic mice. Journal of Controlled Release. 292. 1–12. 14 indexed citations
10.
Wen, Di, Yang Peng, Lin Feng, Rakesh K. Singh, & Ram I. Mahato. (2017). Micellar Delivery of miR-34a Modulator Rubone and Paclitaxel in Resistant Prostate Cancer. Cancer Research. 77(12). 3244–3254. 60 indexed citations
11.
Yang, Ruinan, Goutam Mondal, Rachel A. Ness, et al.. (2017). Polymer conjugate of a microtubule destabilizer inhibits lung metastatic melanoma. Journal of Controlled Release. 249. 32–41. 9 indexed citations
12.
Wen, Di, Yang Peng, Di Liu, Yossi Weizmann, & Ram I. Mahato. (2016). Mesenchymal stem cell and derived exosome as small RNA carrier and Immunomodulator to improve islet transplantation. Journal of Controlled Release. 238. 166–175. 151 indexed citations
13.
Mundra, Vaibhav, Yang Peng, Sandeep Rana, Amarnath Natarajan, & Ram I. Mahato. (2015). Micellar formulation of indocyanine green for phototherapy of melanoma. Journal of Controlled Release. 220(Pt A). 130–140. 51 indexed citations
14.
Xu, Heng, et al.. (2012). Meta‐analysis: IL 28 B polymorphisms predict sustained viral response in HCV patients treated with pegylated interferon‐α and ribavirin. Alimentary Pharmacology & Therapeutics. 36(2). 91–103. 55 indexed citations
15.
Mundra, Vaibhav, Yan Lü, Michael Danquah, et al.. (2012). Formulation and Characterization of Polyester/Polycarbonate Nanoparticles for Delivery of a Novel Microtubule Destabilizing Agent. Pharmaceutical Research. 29(11). 3064–3074. 17 indexed citations
16.
Cheng, Kun, Ningning Yang, & Ram I. Mahato. (2009). TGF-β1 Gene Silencing for Treating Liver Fibrosis. Molecular Pharmaceutics. 6(3). 772–779. 95 indexed citations
17.
Paula, Daniel de, Maria Vitória Lopes Badra Bentley, & Ram I. Mahato. (2007). Hydrophobization and bioconjugation for enhanced siRNA delivery and targeting. RNA. 13(4). 431–456. 174 indexed citations
18.
Choi, Joon Sig, et al.. (2000). pH-Sensitive Cationic Polymer Gene Delivery Vehicle:  N-Ac-poly(l-histidine)-graft-poly(l-lysine) Comb Shaped Polymer. Bioconjugate Chemistry. 11(5). 637–645. 311 indexed citations
19.
Mahato, Ram I.. (1999). Non-Viral Peptide-Based Approaches to Gene Delivery. Journal of drug targeting. 7(4). 249–268. 67 indexed citations
20.
Takakura, Y, et al.. (1996). Uptake Characteristics of Oligonucleotides in the Isolated Rat Liver Perfusion System. Antisense and Nucleic Acid Drug Development. 6(3). 177–183. 30 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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