Reaz Uddin

2.5k total citations
88 papers, 2.0k citations indexed

About

Reaz Uddin is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Reaz Uddin has authored 88 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 25 papers in Infectious Diseases and 25 papers in Computational Theory and Mathematics. Recurrent topics in Reaz Uddin's work include Computational Drug Discovery Methods (25 papers), vaccines and immunoinformatics approaches (19 papers) and Tuberculosis Research and Epidemiology (13 papers). Reaz Uddin is often cited by papers focused on Computational Drug Discovery Methods (25 papers), vaccines and immunoinformatics approaches (19 papers) and Tuberculosis Research and Epidemiology (13 papers). Reaz Uddin collaborates with scholars based in Pakistan, Saudi Arabia and Oman. Reaz Uddin's 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 and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Reaz Uddin

87 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Reaz Uddin Pakistan 23 906 638 440 393 167 88 2.0k
Sudha Ramaiah India 31 1.4k 1.5× 237 0.4× 515 1.2× 404 1.0× 221 1.3× 149 2.6k
Syed Sikander Azam Pakistan 29 1.2k 1.4× 427 0.7× 407 0.9× 262 0.7× 140 0.8× 108 2.2k
Anand Anbarasu India 31 1.4k 1.5× 235 0.4× 465 1.1× 372 0.9× 211 1.3× 167 2.7k
Muhammad Usman Mirza Pakistan 24 825 0.9× 251 0.4× 621 1.4× 532 1.4× 163 1.0× 52 1.9k
Shafi Mahmud Bangladesh 34 1.2k 1.3× 492 0.8× 660 1.5× 513 1.3× 158 0.9× 96 2.9k
Keqiang Fan China 27 1.2k 1.3× 327 0.5× 389 0.9× 575 1.5× 667 4.0× 62 2.0k
Laurent R. Chiarelli Italy 30 1.5k 1.7× 444 0.7× 135 0.3× 582 1.5× 138 0.8× 93 2.7k
R. Jedrzejczak United States 24 1.3k 1.4× 188 0.3× 455 1.0× 699 1.8× 121 0.7× 62 2.5k
Nicholas Furnham United Kingdom 26 1.8k 2.0× 121 0.2× 348 0.8× 227 0.6× 146 0.9× 55 2.5k
Kirk E. Hevener United States 19 1.0k 1.2× 471 0.7× 530 1.2× 335 0.9× 194 1.2× 44 1.8k

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-authorship network of co-authors of Reaz Uddin

This figure shows the co-authorship network connecting the top 25 collaborators of Reaz Uddin. A scholar is included among the top collaborators of Reaz Uddin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Reaz Uddin. Reaz Uddin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Khan, Kanwal, et al.. (2024). Lysine metabolism pathway as a target for drug repurposing: In silico approach against carbapenem-resistant Klebsiella pneumoniae. Gene Reports. 37. 102028–102028. 2 indexed citations
2.
3.
Siddiqui, H.L., et al.. (2024). Quinoline sulfonates as the potent inhibitors of MDA-MB-231 and MCF-7 breast cancer cells: Synthesis, cytotoxicity, and molecular docking studies. Results in Chemistry. 10. 101692–101692. 2 indexed citations
4.
Khan, Kanwal, et al.. (2023). Lead identification against Mycobacterium tuberculosis using highly enriched active molecules against pantothenate synthetase. Journal of Biomolecular Structure and Dynamics. 42(20). 11080–11097. 2 indexed citations
5.
6.
Khan, Kanwal, et al.. (2023). The Gene Network Correlation Analysis of Obesity to Type 1 Diabetes and Cardiovascular Disorders: An Interactome-Based Bioinformatics Approach. Molecular Biotechnology. 66(8). 2123–2143. 1 indexed citations
7.
Khan, Kanwal, Zarrin Basharat, Khurshid Jalal, et al.. (2022). Identification of Therapeutic Targets in an Emerging Gastrointestinal Pathogen Campylobacter ureolyticus and Possible Intervention through Natural Products. Antibiotics. 11(5). 680–680. 6 indexed citations
8.
Khan, Kanwal, Khurshid Jalal, Ajmal Khan, Ahmed Al-Harrasi, & Reaz Uddin. (2022). Comparative Metabolic Pathways Analysis and Subtractive Genomics Profiling to Prioritize Potential Drug Targets Against Streptococcus pneumoniae. Frontiers in Microbiology. 12. 796363–796363. 21 indexed citations
9.
Jalal, Khurshid, Faisal Khan, Kanwal Iqbal Khan, et al.. (2022). Anxiolytic, anti-nociceptive and body weight reducing effects of L-lysine in rats: Relationship with brain serotonin an In-Vivo and In-Silico study. Biomedicine & Pharmacotherapy. 152. 113235–113235. 5 indexed citations
10.
Jalal, Khurshid, Kanwal Khan, Zarrin Basharat, et al.. (2022). Reverse vaccinology approach for multi-epitope centered vaccine design against delta variant of the SARS-CoV-2. Environmental Science and Pollution Research. 29(40). 60035–60053. 27 indexed citations
11.
Çakır, Tunahan, et al.. (2020). Novel Approaches for Systems Biology of Metabolism-Oriented Pathogen-Human Interactions: A Mini-Review. Frontiers in Cellular and Infection Microbiology. 10. 52–52. 13 indexed citations
12.
Ahmad, Sajjad, Saad Raza, Reaz Uddin, & Syed Sikander Azam. (2018). Comparative subtractive proteomics based ranking for antibiotic targets against the dirtiest superbug: Acinetobacter baumannii. Journal of Molecular Graphics and Modelling. 82. 74–92. 34 indexed citations
13.
Ahmad, Sajjad, et al.. (2018). Proteome-wide identification of epitope-based vaccine candidates against multi-drug resistant Proteus mirabilis. Biologicals. 55. 27–37. 14 indexed citations
14.
Wadood, Abdul, Mehreen Ghufran, Asifullah Khan, et al.. (2017). The methicillin-resistant S. epidermidis strain RP62A genome mining for potential novel drug targets identification. Gene Reports. 8. 88–93. 5 indexed citations
15.
Uddin, Reaz & Kevin M. Downard. (2017). Subtyping of hepatitis C virus with high resolution mass spectrometry. PubMed. 4-5. 19–24. 8 indexed citations
16.
Sarwar, Rizwana, Umar Farooq, Ajmal Khan, et al.. (2015). Evaluation of Antioxidant, Free Radical Scavenging, and Antimicrobial Activity of Quercus incana Roxb.. Frontiers in Pharmacology. 6. 277–277. 39 indexed citations
17.
Rahim, Fazal, Khalid Zaman, Hayat Ullah, et al.. (2015). Synthesis of 4-thiazolidinone analogs as potent in vitro anti-urease agents. Bioorganic Chemistry. 63. 123–131. 92 indexed citations
18.
Uddin, Reaz, et al.. (2012). Combined Pharmacophore and 3D‐QSAR Study on A Series of Staphylococcus aureus Sortase A inhibitors. Chemical Biology & Drug Design. 80(2). 300–314. 18 indexed citations
19.
Ul‐Haq, Zaheer, Reaz Uddin, Kok Wai Lam, Abdul Wadood, & Nordin H. Lajis. (2010). Docking and 3D-QSAR modeling of cyclin-dependent kinase 5/p25 inhibitors. Journal of Molecular Modeling. 17(5). 1149–1161. 12 indexed citations
20.

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

Breakdown of academic impact, for papers by Sudha Ramaiah Breakdown of academic impact, for papers by Syed Sikander Azam Breakdown of academic impact, for papers by Anand Anbarasu Breakdown of academic impact, for papers by Muhammad Usman Mirza Breakdown of academic impact, for papers by Shafi Mahmud Breakdown of academic impact, for papers by Keqiang Fan Breakdown of academic impact, for papers by Laurent R. Chiarelli Breakdown of academic impact, for papers by R. Jedrzejczak Breakdown of academic impact, for papers by Nicholas Furnham Breakdown of academic impact, for papers by Kirk E. Hevener
Rankless by CCL
2026