Deepa Subramaniyan

463 citations
9 papers · 392 · h-index 9

Impact in

Papers in

Deepa Subramaniyan

9 papers receiving 384 citations

Peers

Deepa Subramaniyan
Comparison fields: 5 of 82
  • Health, Toxicology and Mutagenesis 212
  • Pollution 78
  • Molecular Medicine 28
  • Complementary and alternative medicine 37
  • Toxicology 12
Replace Isehaq Al‐Huseini with:
Isehaq Al‐Huseini Oman
Mustafa Çiçek Türkiye
Suck-Young Choe South Korea
Chenxu Ge China
Nisharahmed Kherada United States
T. Ichinose Japan
Antonis Georgellis Sweden
Velid Ünsal Türkiye
Tsung-Jung Ho Taiwan
Deepa Subramaniyan relative to Isehaq Al‐Huseini Oman Isehaq Al‐Huseini's profile →
Citations per field
00.5×
Isehaq Al‐Huseini · 1×
Citations per year

Countries citing papers authored by Deepa Subramaniyan

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Subramaniyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Deepa Subramaniyan, 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 Deepa Subramaniyan Line = papers co-authored together Deepa Subramaniyan links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201198
2 201272
3 201346
4 201138
5 201334
6 201233
7 201225
8 201123
9 201223

About Deepa Subramaniyan

Deepa Subramaniyan is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Speech and Hearing, Physiology and Surgery, having authored 9 papers that have together received 392 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (8 papers), Energy and Environment Impacts (4 papers), Climate Change and Health Impacts (3 papers), Noise Effects and Management (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Smoking Behavior and Cessation (1 paper), Nigella sativa pharmacological applications (1 paper) and Air Quality Monitoring and Forecasting (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (212 citations), Pollution (78 citations), Molecular Medicine (28 citations), Complementary and alternative medicine (37 citations) and Toxicology (12 citations). Deepa Subramaniyan has collaborated with scholars based in Oman and United Arab Emirates. Frequent co-authors include Badreldin H. Ali, Abderrahim Nemmar, Javed Yasin, Shaheen Zia, Elsadig Kazzam, Suhail Al‐Salam, Haider Raza, Annie John, Subramanian Dhanasekaran and Mohamed A. Fahim. Their work appears in journals such as Toxicology, Cellular Physiology and Biochemistry, Toxicology Letters, British Journal of Pharmacology and Particle and Fibre Toxicology.

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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