Sharmila Basu‐Modak

2.5k citations
23 papers · 2.1k indexed · h-index 17

Sharmila Basu‐Modak

23 papers receiving 2.1k citations

Peers

Sharmila Basu‐Modak
Comparison fields: 5 of 109
  • Molecular Biology 1.5k
  • Dermatology 191
  • Biochemistry 113
  • Biochemistry 128
  • Physiology 431
Replace Glenn F. Vile with:
Glenn F. Vile New Zealand
Yukari Zenke Japan
Simona Zarini United States
Konstantin Tsoyi United States
Chung Y. Cho United States
Naoki Harada Japan
Rex M. Tyrrell United Kingdom
Wim Kulik Netherlands
Tirumalai Rangasamy United States
Young Suk Jung South Korea
Sharmila Basu‐Modak relative to Glenn F. Vile New Zealand Glenn F. Vile's profile →
Citations per field
00.5×6.4×
Glenn F. Vile · 1×
Citations per year

Countries citing papers authored by Sharmila Basu‐Modak

Since Specialization
Citations

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

Fields of papers citing papers by Sharmila Basu‐Modak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharmila Basu‐Modak. 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 Sharmila Basu‐Modak. The network helps show where Sharmila Basu‐Modak may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20234
3 202317
4 20234
5 202118
6 201321
7 201041
8 20086
9 200628
10 200533
11 200349
12 200347
13 2001415
14 2001341
15 200012
16 1999110
17 199939
18 199660
19 199465
20
Singlet oxygen: a primary effector in the ultraviolet A/near-visible light induction of the human heme oxygenase gene.
1993182

About Sharmila Basu‐Modak

Sharmila Basu‐Modak is a scholar working on Biochemistry, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (9 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Adipose Tissue and Metabolism (4 papers), Neonatal Health and Biochemistry (3 papers), Bacterial Genetics and Biotechnology (3 papers), Tuberculosis Research and Epidemiology (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Dermatology (191 citations) and Biochemistry (113 citations). Sharmila Basu‐Modak has collaborated with scholars based in Switzerland, India and United Kingdom. Frequent co-authors include Rex M. Tyrrell, Béatrice Desvergne, Walter Wahli, Pascal Escher, Glenn F. Vile, Liliane Michalik, Olivier Braissant, Nguan Soon Tan, Rex M. Tyrrell and Daniel Metzger. Their work appears in journals such as Free Radical Biology and Medicine, Journal of Biological Chemistry, BioMetals, The Journal of Cell Biology and Endocrinology.

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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