Noor Rahman

723 total citations
26 papers, 522 citations indexed

About

Noor Rahman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Noor Rahman has authored 26 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Infectious Diseases. Recurrent topics in Noor Rahman's work include Computational Drug Discovery Methods (6 papers), vaccines and immunoinformatics approaches (5 papers) and Synthesis and biological activity (4 papers). Noor Rahman is often cited by papers focused on Computational Drug Discovery Methods (6 papers), vaccines and immunoinformatics approaches (5 papers) and Synthesis and biological activity (4 papers). Noor Rahman collaborates with scholars based in Pakistan, Italy and Saudi Arabia. Noor Rahman's co-authors include Haroon Khan, Zarrin Basharat, Luca Rastrelli, Giuseppe Castaldo, Asifullah Khan, Michael Aschner, Mohibullah Shah, Maria Daglia, Muhammad Jahanzaib and Eugenie Nepovimová and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Immunology and Molecules.

In The Last Decade

Noor Rahman

23 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noor Rahman Pakistan 11 279 139 87 63 60 26 522
Abdur Rehman Pakistan 15 414 1.5× 110 0.8× 102 1.2× 77 1.2× 78 1.3× 31 611
Syed Shahzad‐ul‐Hussan Pakistan 16 269 1.0× 147 1.1× 56 0.6× 52 0.8× 40 0.7× 29 592
Elijah Kolawole Oladipo Nigeria 10 230 0.8× 104 0.7× 124 1.4× 30 0.5× 41 0.7× 67 540
Mst. Sharmin Sultana Shimu Bangladesh 11 225 0.8× 105 0.8× 139 1.6× 42 0.7× 35 0.6× 24 479
K. M. Kaderi Kibria Bangladesh 12 365 1.3× 88 0.6× 51 0.6× 102 1.6× 55 0.9× 27 865
Priyanka Shah India 17 265 0.9× 122 0.9× 63 0.7× 47 0.7× 50 0.8× 35 698
Muhammad Junaid China 18 512 1.8× 236 1.7× 173 2.0× 80 1.3× 78 1.3× 34 760
Bishajit Sarkar Bangladesh 15 336 1.2× 161 1.2× 52 0.6× 100 1.6× 92 1.5× 37 565
Mohammad Uzzal Hossain Bangladesh 12 279 1.0× 126 0.9× 53 0.6× 44 0.7× 48 0.8× 48 433
Iqra Muneer China 7 225 0.8× 130 0.9× 164 1.9× 40 0.6× 55 0.9× 7 396

Countries citing papers authored by Noor Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Noor Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noor Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Noor Rahman. A scholar is included among the top collaborators of Noor Rahman 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 Noor Rahman. Noor Rahman 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.
Zafar, Humaira, et al.. (2025). Steroid sulfatase: A systematic study on the isolation, single step purification, and identification of its new inhibitors. Computers in Biology and Medicine. 196(Pt C). 110886–110886.
2.
3.
Rahman, Noor, Chau Ling Tham, & Roslida Abd Hamid. (2024). Inhibition of angiogenesis and metastasis in colorectal cancer cell lines through KRAS-associated signaling pathways by 2-methoxy-6-undecyl-1,4-benzoquinone. Chemico-Biological Interactions. 399. 111151–111151. 1 indexed citations
4.
5.
Zafar, Humaira, Atia‐tul Wahab, Sammer Yousuf, et al.. (2024). Identification of new potential inhibitors of pteridine reductase-1 (PTR1) via biophysical and biochemical mechanism-based approaches: Step towards the treatment of Leishmaniasis. International Journal of Biological Macromolecules. 282(Pt 4). 137198–137198. 1 indexed citations
6.
Rahman, Noor, et al.. (2023). Drug repurposing for the identification of new Bcl-2 inhibitors: In vitro, STD-NMR, molecular docking, and dynamic simulation studies. Life Sciences. 334. 122181–122181. 5 indexed citations
7.
Rahman, Noor, et al.. (2022). An insight in Salmonella typhi associated autoimmunity candidates' prediction by molecular mimicry. Computers in Biology and Medicine. 148. 105865–105865. 7 indexed citations
8.
9.
Aiman, Sara, Yahya Alhamhoom, Noor Rahman, et al.. (2022). Multi-epitope chimeric vaccine design against emerging Monkeypox virus via reverse vaccinology techniques- a bioinformatics and immunoinformatics approach. Frontiers in Immunology. 13. 985450–985450. 60 indexed citations
10.
Ali, Aftab, et al.. (2022). FREQUENCY AND ANTIMICROBIAL RESISTANCE PROFILE OF SALMONELLA TYPHI ISOLATED FROM DISTRICT BUNER. 30(3). 185–189. 1 indexed citations
11.
Rahman, Noor, Zarrin Basharat, Luca Rastrelli, et al.. (2021). Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants. Computers in Biology and Medicine. 133. 104362–104362. 14 indexed citations
12.
Basharat, Zarrin, Muhammad Jahanzaib, & Noor Rahman. (2021). Therapeutic target identification via differential genome analysis of antibiotic resistant Shigella sonnei and inhibitor evaluation against a selected drug target. Infection Genetics and Evolution. 94. 105004–105004. 22 indexed citations
13.
Rahman, Noor, et al.. (2021). Antidiabetic activities of alkaloids isolated from medicinal plants. Brazilian Journal of Pharmaceutical Sciences. 57. 29 indexed citations
14.
Rahman, Noor, Haroon Khan, Asifullah Khan, et al.. (2021). Bcl-2 Modulation in p53 Signaling Pathway by Flavonoids: A Potential Strategy towards the Treatment of Cancer. International Journal of Molecular Sciences. 22(21). 11315–11315. 41 indexed citations
15.
Hussain, Anwar, et al.. (2020). Molecular Docking and In vitro Analysis of Fagonia Cretica and BerberisLyceum Extracts Against Brucella Melitensis. Current Computer - Aided Drug Design. 17(7). 946–956. 3 indexed citations
16.
Rahman, Noor, et al.. (2020). Core proteome mediated therapeutic target mining and multi-epitope vaccine design for Helicobacter pylori. Genomics. 112(5). 3473–3483. 27 indexed citations
17.
Rahman, Noor, Zarrin Basharat, Muhammad Shehroz, et al.. (2020). Vaccine Design from the Ensemble of Surface Glycoprotein Epitopes of SARS-CoV-2: An Immunoinformatics Approach. Vaccines. 8(3). 423–423. 63 indexed citations
18.
Rahman, Noor, Sahib Gul Afridi, Asifullah Khan, et al.. (2020). Inhibitory effects of plant extracts and in Silico screening of the bioactive compounds against α-glucosidase. South African Journal of Botany. 143. 330–343. 8 indexed citations
19.
Rahman, Noor, et al.. (2019). In-silico Subtractive Proteomic Analysis Approach for Therapeutic Targets in MDR Salmonella enterica subsp. enterica serovar Typhi str. CT18. Current Topics in Medicinal Chemistry. 19(29). 2708–2717. 8 indexed citations
20.
Rahman, Noor, et al.. (2019). Molecular Docking of Isolated Alkaloids for Possible α-Glucosidase Inhibition. Biomolecules. 9(10). 544–544. 44 indexed citations

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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