Sayed Ibrar Alam

1.2k citations
14 papers · 993 · h-index 13

Impact in

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 8
    • Alzheimer's disease research and treatments 6
    • Biochemical effects in animals 2

Sayed Ibrar Alam

14 papers receiving 983 citations

Peers

Sayed Ibrar Alam
Comparison fields: 5 of 95
  • Biological Psychiatry 143
  • Neurology 269
  • Complementary and alternative medicine 122
  • Endocrine and Autonomic Systems 79
  • Behavioral Neuroscience 36
Replace Min Gi Jo with:
Min Gi Jo South Korea
Jade de Oliveira Brazil
Ethika Tyagi India
Patrycja Michalska Spain
Nesrine S. El Sayed Egypt
Chainarong Tocharus Thailand
Amjad Khan South Korea
Mehtab Khan South Korea
Udayabanu Malairaman India
Sayed Ibrar Alam relative to Min Gi Jo South Korea Min Gi Jo's profile →
Citations per field
00.5×1.6×
Min Gi Jo · 1×
Citations per year

Countries citing papers authored by Sayed Ibrar Alam

Since Specialization
Citations

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

Fields of papers citing papers by Sayed Ibrar Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayed Ibrar Alam. 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 Sayed Ibrar Alam. The network helps show where Sayed Ibrar Alam may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018199
2 2018165
3 2019147
4 2018127
5 202076
6 202069
7 201852
8 202137
9 202033
10 202122
11 202122
12 201917
13 202016
14 201911

About Sayed Ibrar Alam

Sayed Ibrar Alam is a scholar working on Neurology, Physiology, Molecular Biology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 14 papers that have together received 993 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (6 papers), Tryptophan and brain disorders (3 papers), S100 Proteins and Annexins (3 papers), Circadian rhythm and melatonin (2 papers), Biochemical effects in animals (2 papers), Neuroscience and Neuropharmacology Research (1 paper) and Heavy Metal Exposure and Toxicity (1 paper). The work is most often cited by research in Biological Psychiatry (143 citations), Neurology (269 citations), Complementary and alternative medicine (122 citations), Endocrine and Autonomic Systems (79 citations) and Behavioral Neuroscience (36 citations). Sayed Ibrar Alam has collaborated with scholars based in South Korea, Pakistan and Netherlands. Frequent co-authors include Myeong Ok Kim, Muhammad Ikram, Tahir Ali, Amjad Khan, Shafiq Ur Rehman, Tahir Muhammad, Kamran Saeed, Haroon Badshah, Rahat Ullah and Amir Zeb. Their work appears in journals such as Journal of Clinical Medicine, Biomedicines, Frontiers in Aging Neuroscience, Cells and Antioxidants.

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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