Reaz Uddin

2.5k citations
88 papers · 2.0k indexed · h-index 23

Impact in

Papers in

    • vaccines and immunoinformatics approaches 19
    • RNA and protein synthesis mechanisms 10
    • Biochemical and Molecular Research 8
    • Tuberculosis Research and Epidemiology 13

Reaz Uddin

87 papers receiving 1.9k citations

Peers

Reaz Uddin
Comparison fields: 5 of 113
  • Computational Theory and Mathematics 440
  • Organic Chemistry 638
  • Infectious Diseases 393
  • Molecular Medicine 89
  • Molecular Biology 906
Replace Syed Sikander Azam with:
Syed Sikander Azam Pakistan
Kirk E. Hevener United States
Mario S. Valdés‐Tresanco Colombia
Khaled M. Darwish Egypt
Shafi Mahmud Bangladesh
Michael K. Riscoe United States
Rahul Singh India
Xu Shen China
Priyanka Sharma India
Laurent R. Chiarelli Italy
Reaz Uddin relative to Syed Sikander Azam Pakistan Syed Sikander Azam's profile →
Citations per field
00.5×1.5×
Syed Sikander Azam · 1×
Citations per year

Countries citing papers authored by Reaz Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Reaz Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010280
2 2020278
3 200895
4 201592
5 201788
6 201080
7 201848
8 201344
9 201740
10 201539
11 201838
12 200836
13 202235
14 201834
15 202034
16 201234
17 201029
18 202227
19 201127
20 201726

About Reaz Uddin

Reaz Uddin is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Organic Chemistry and Pharmacology, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), vaccines and immunoinformatics approaches (19 papers), Tuberculosis Research and Epidemiology (13 papers), RNA and protein synthesis mechanisms (10 papers), Synthesis and biological activity (9 papers), Bacteriophages and microbial interactions (9 papers), Microbial Natural Products and Biosynthesis (8 papers) and Biochemical and Molecular Research (8 papers). The work is most often cited by research in Computational Theory and Mathematics (440 citations), Organic Chemistry (638 citations), Infectious Diseases (393 citations), Molecular Medicine (89 citations) and Molecular Biology (906 citations). Reaz Uddin has collaborated with scholars based in Pakistan, Saudi Arabia and Germany. Frequent co-authors include Zaheer Ul‐Haq, Abdul Wadood, Syed Sikander Azam, Salman Ali Khan, Sajda Ashraf, Komal Zia, Kanwal Khan, Khurshid Jalal, M. Iqbal Choudhary and Sajjad Ahmad. Their work appears in journals such as Medicinal Chemistry Research, Journal of Biomolecular Structure and Dynamics, PLoS ONE, Journal of Molecular Graphics and Modelling and Journal of Molecular Liquids.

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.

Explore authors with similar magnitude of impact