Subhadeep Roy

2.1k citations
80 papers · 1.5k · h-index 23

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Subhadeep Roy

73 papers receiving 1.5k citations

Peers

Subhadeep Roy
Comparison fields: 5 of 112
  • Cancer Research 282
  • Biomaterials 220
  • Pharmaceutical Science 95
  • Toxicology 38
  • Cellular and Molecular Neuroscience 133
Replace Yu Zheng with:
Yu Zheng China
Kamil Elkhoury France
Gloria Perazzoli Spain
Dingjun Hao China
Reza Mahmoudi Iran
Hui Shi China
Xing Wei China
Jeong Hee Hong South Korea
Cen Chen China
Amitava Das India
Subhadeep Roy relative to Yu Zheng China Yu Zheng's profile →
Citations per field
00.5×3.8×
Yu Zheng · 1×
Citations per year

Countries citing papers authored by Subhadeep Roy

Since Specialization
Citations

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

Fields of papers citing papers by Subhadeep Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Subhadeep Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Subhadeep Roy Line = papers co-authored together Subhadeep Roy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202097
2 201997
3 201783
4 202278
5 197865
6 197861
7 201854
8 202244
9 201941
10 201839
11 201633
12 201933
13 201833
14 202333
15 201832
16 202331
17 202331
18 202231
19 202028
20 202427

About Subhadeep Roy

Subhadeep Roy is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Surgery and Pharmaceutical Science, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (13 papers), Cancer, Hypoxia, and Metabolism (12 papers), Cancer, Lipids, and Metabolism (11 papers), Advanced Drug Delivery Systems (8 papers), Cancer Cells and Metastasis (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Advancements in Transdermal Drug Delivery (5 papers) and Drug Solubulity and Delivery Systems (4 papers). The work is most often cited by research in Cancer Research (282 citations), Biomaterials (220 citations), Pharmaceutical Science (95 citations), Toxicology (38 citations) and Cellular and Molecular Neuroscience (133 citations). Subhadeep Roy has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Gaurav Kaithwas, Manjari Singh, Sourabh Ghosh, Abdulaziz S. Saeedan, Juhi Chakraborty, Mohd Nazam Ansari, Rajnish Kumar Yadav, S.N. Pradhan, Uma Devi and Swetlana Gautam. Their work appears in journals such as Journal of Materials Chemistry B, Biomedical Materials, RSC Advances, Biofabrication and ACS Applied Bio Materials.

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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