Shams Tabrez

224 papers receiving 6.3k citations

Shams Tabrez's Hit Papers

STAT3 Signaling Pathway in Health and Disease 2025 · 34 citations
340Years since publication102030

Peers

Shams Tabrez
Comparison fields: 5 of 162
  • Molecular Medicine 254
  • Clinical Biochemistry 325
  • Complementary and alternative medicine 371
  • Biochemistry 252
  • Pharmacology 603
Replace Saikat Dewanjee with:
Saikat Dewanjee India
Prasenjit Manna India
Joo Young Lee South Korea
Mohd Shahnawaz Khan Saudi Arabia
Hongqiao Zhang United States
Haseeb Ahsan India
Dietrich Büsselberg Qatar
Ayman M. Mahmoud Egypt
Wei Li China
Mariusz Jaremko Saudi Arabia
Shams Tabrez relative to Saikat Dewanjee India Saikat Dewanjee's profile →
Citations per field
00.5×1.5×2.4×
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-authors

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

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018302
2 2012260
3 2014173
4 2012153
5 2018149
6 2013138
7 2015131
8 2012128
9 201894
10 202188
11 202287
12 202282
13 202181
14 202380
15 201675
16 200972
17 202270
18 201469
19 202268
20 202166

About Shams Tabrez

Shams Tabrez is a scholar working on Molecular Biology, Pharmacology, Epidemiology, Physiology and Organic Chemistry, having authored 232 papers that have together received 6.5k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (17 papers), Computational Drug Discovery Methods (16 papers), Cholinesterase and Neurodegenerative Diseases (16 papers), Advanced Glycation End Products research (12 papers), Alzheimer's disease research and treatments (12 papers), Carcinogens and Genotoxicity Assessment (11 papers), Natural Antidiabetic Agents Studies (10 papers) and Synthesis and biological activity (10 papers). The work is most often cited by research in Molecular Medicine (254 citations), Clinical Biochemistry (325 citations), Complementary and alternative medicine (371 citations), Biochemistry (252 citations) and Pharmacology (603 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, Saudi Journal of Biological Sciences, Current Pharmaceutical Design, Journal of Cellular Biochemistry and Journal of Biomolecular Structure and Dynamics.

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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