Upal Basu Roy

2.2k citations
62 papers · 1.8k · h-index 24

Impact in

Papers in

    • Nanoparticle-Based Drug Delivery 10
    • Drug Transport and Resistance Mechanisms 4
    • COVID-19 and healthcare impacts 3
    • Cancer Immunotherapy and Biomarkers 2

Upal Basu Roy

60 papers receiving 1.7k citations

Peers

Upal Basu Roy
Comparison fields: 5 of 79
  • Biomaterials 283
  • Virology 115
  • Biotechnology 77
  • Pharmaceutical Science 45
  • Oncology 116
Replace Ruei‐Min Lu with:
Ruei‐Min Lu Taiwan
Lee Leserman France
Frederico Aires‐da‐Silva Portugal
João Gonçalves Portugal
Alain P. Rolland United States
I-Ju Liu Taiwan
Hakan Kalay Netherlands
Saman Yasamineh Iran
Timothy D. Heath United States
Limei Shen United States
Upal Basu Roy relative to Ruei‐Min Lu Taiwan Ruei‐Min Lu's profile →
Citations per field
00.5×5×10×16.4×
Ruei‐Min Lu · 1×
Citations per year

Countries citing papers authored by Upal Basu Roy

Since Specialization
Citations

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

Fields of papers citing papers by Upal Basu Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Upal Basu 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 Upal Basu Roy Line = papers co-authored together Upal Basu Roy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005165
2 2012111
3 2015106
4 2016106
5 201097
6 201886
7 200981
8 201367
9 201967
10 200866
11 202158
12 201257
13 201548
14 201245
15 201545
16 201143
17 202236
18 201134
19 201328
20 202328

About Upal Basu Roy

Upal Basu Roy is a scholar working on Biomaterials, Oncology, Virology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (10 papers), HIV Research and Treatment (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Ethics in Clinical Research (3 papers), COVID-19 and healthcare impacts (3 papers), Lung Cancer Treatments and Mutations (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Biomaterials (283 citations), Virology (115 citations), Biotechnology (77 citations), Pharmaceutical Science (45 citations) and Oncology (116 citations). Upal Basu Roy has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Debasis Mondal, Howard Eliot Gendelman, JoEllyn McMillan, Madhavan Nair, Shantanu S. Balkundi, Yogesh Shreepad Shouche, Siddhartha P. Sarma, T. Prem Anand, Jay Siddharth and Yazen Alnouti. Their work appears in journals such as Journal of Thoracic Oncology, International Journal of Nanomedicine, Scientific Reports, Future Oncology and Frontiers in Microbiology.

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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