Shams Tabrez

218 papers receiving 6.1k citations

Hit Papers

STAT3 Signaling Pathway in Health and Disease 2025 · 29 citations
2920252026510152025

Peers

Shams Tabrez
Comparison fields: 5 of 159
  • Molecular Medicine 276
  • Complementary and alternative medicine 418
  • Clinical Biochemistry 332
  • Biochemistry 278
  • Pharmacology 646
Replace Saikat Dewanjee with:
Saikat Dewanjee India
Prasenjit Manna India
Muhammad Sajid Hamid Akash Pakistan
Mohd Shahnawaz Khan Saudi Arabia
Dietrich Büsselberg Qatar
Haseeb Ahsan India
Kanwal Rehman Pakistan
Hongqiao Zhang United States
Hengmin Cui China
Natasha Irrera Italy
Shams Tabrez relative to Saikat Dewanjee India Saikat Dewanjee's profile →
Citations per field
00.5×1.5×2.0×
Saikat Dewanjee · 1×
Citations per year

Countries citing papers authored by Shams Tabrez

Since Specialization
Citations

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

Fields of papers citing papers by Shams Tabrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2
STAT3 Signaling Pathway in Health and Disease
Hit paper breakdown →
202529
3 20245
4 20243
5 20243
6 202322
7 202312
8 202315
9 202347
10 202262
11 202215
12 202219
13 202237
14 202220
15 202137
16 202037
17 202029
18 20185
19 20172
20 201456

About Shams Tabrez

Shams Tabrez is a scholar working on Toxicology, Clinical Biochemistry, Molecular Medicine, Pharmacology and Health, Toxicology and Mutagenesis, having authored 227 papers that have together received 6.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Research on Leishmaniasis Studies (18 papers), Cholinesterase and Neurodegenerative Diseases (18 papers), Alzheimer's disease research and treatments (14 papers), Natural Antidiabetic Agents Studies (12 papers), Advanced Glycation End Products research (12 papers), Nanoparticles: synthesis and applications (11 papers) and Carcinogens and Genotoxicity Assessment (11 papers). The work is most often cited by research in Molecular Medicine (276 citations), Complementary and alternative medicine (418 citations), Clinical Biochemistry (332 citations), Biochemistry (278 citations) and Pharmacology (646 citations). Shams Tabrez has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Nasimudeen R. Jabir, Masood Ahmad, Mohammad Amjad Kamal, Torki A. Zughaibi, Shazi Shakil, Mohd Shahnawaz Khan, Samina Wasi, Mohd Suhail, Syed Kashif Zaidi and Adel Abuzenadah. Their work appears in journals such as CNS & Neurological Disorders - Drug Targets, Current Pharmaceutical Design, Saudi Journal of Biological Sciences, Journal of Cellular Biochemistry and Current Drug Metabolism.

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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