Rahat Alam

24 papers receiving 656 citations

Peers

Rahat Alam
Comparison fields: 5 of 94
  • Computational Theory and Mathematics 161
  • Infectious Diseases 121
  • Drug Discovery 1
  • Molecular Biology 345
  • Biotechnology 39
Replace Abdur Rehman with:
Abdur Rehman Pakistan
Mst. Sharmin Sultana Shimu Bangladesh
Asif Shahriar Bangladesh
Laura Ceballos-Laita Spain
Sidra Aslam Pakistan
Kumari Sunita Prajapati India
Devadasan Velmurugan India
Anna Caroline Campos Aguiar Brazil
Thirumurthy Madhavan India
Kiran Bharat Lokhande India
Rahat Alam relative to Abdur Rehman Pakistan Abdur Rehman's profile →
Citations per field
00.5×1.6×
Abdur Rehman · 1×
Citations per year

Countries citing papers authored by Rahat Alam

Since Specialization
Citations

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

Fields of papers citing papers by Rahat Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020136
2 202191
3 202157
4 202144
5 202144
6 202033
7 202131
8 202130
9 202229
10 202228
11 202022
12 202118
13 202217
14 202013
15 202312
16 202312
17 202011
18 202111
19 202310
20 20219

About Rahat Alam

Rahat Alam is a scholar working on Biochemistry, Computational Theory and Mathematics, Pharmacology, Complementary and alternative medicine and Infectious Diseases, having authored 24 papers that have together received 668 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Epigenetics and DNA Methylation (4 papers), vaccines and immunoinformatics approaches (4 papers), Essential Oils and Antimicrobial Activity (3 papers), TGF-β signaling in diseases (2 papers), Bacteriophages and microbial interactions (2 papers), Cancer-related molecular mechanisms research (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (161 citations), Infectious Diseases (121 citations), Drug Discovery (1 citation), Molecular Biology (345 citations) and Biotechnology (39 citations). Rahat Alam has collaborated with scholars based in Bangladesh, Saudi Arabia and Poland. Frequent co-authors include Foysal Ahammad, Abdus Samad, Tomasz M. Karpiński, Zulkar Nain, Ishtiaq Qadri, Marcin Ożarowski, Shahina Akhter, Małgorzata Łochyńska, Khalid M. AlGhamdi and Md. Mashiar Rahman. Their work appears in journals such as Heliyon, RSC Advances, Molecules, International Journal of Biological Macromolecules and Medicine.

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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