Nouman Rasool

2.3k total citations
68 papers, 1.9k citations indexed

About

Nouman Rasool is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Nouman Rasool has authored 68 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Computational Theory and Mathematics and 10 papers in Genetics. Recurrent topics in Nouman Rasool's work include Machine Learning in Bioinformatics (23 papers), Computational Drug Discovery Methods (23 papers) and RNA and protein synthesis mechanisms (13 papers). Nouman Rasool is often cited by papers focused on Machine Learning in Bioinformatics (23 papers), Computational Drug Discovery Methods (23 papers) and RNA and protein synthesis mechanisms (13 papers). Nouman Rasool collaborates with scholars based in Pakistan, United States and Saudi Arabia. Nouman Rasool's co-authors include Waqar Hussain, Yaser Daanial Khan, Sher Afzal Khan, Kuo‐Chen Chou, Ahmad Hassan Butt, Sajid Mahmood, Sheraz Naseer, Naeem Rashid, Muhammad Akhtar and J. Hamza and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Nouman Rasool

68 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nouman Rasool Pakistan 27 1.3k 345 130 95 79 68 1.9k
Waqar Hussain Pakistan 27 1.1k 0.8× 316 0.9× 133 1.0× 108 1.1× 83 1.1× 78 1.9k
Vinícius Gonçalves Maltarollo Brazil 21 841 0.6× 799 2.3× 110 0.8× 64 0.7× 95 1.2× 110 1.9k
Laurent E. Dardenne Brazil 19 933 0.7× 705 2.0× 98 0.8× 79 0.8× 140 1.8× 60 1.8k
Prabha Garg India 24 681 0.5× 448 1.3× 80 0.6× 94 1.0× 163 2.1× 111 1.6k
Andrea Volkamer Germany 20 1.4k 1.0× 936 2.7× 80 0.6× 72 0.8× 139 1.8× 55 2.1k
Yunierkis Pérez‐Castillo Ecuador 22 668 0.5× 475 1.4× 68 0.5× 121 1.3× 99 1.3× 84 1.5k
Modest von Korff Switzerland 11 867 0.7× 829 2.4× 110 0.8× 79 0.8× 131 1.7× 18 1.9k
Sudipto Mukherjee United States 17 1.3k 1.0× 722 2.1× 50 0.4× 78 0.8× 136 1.7× 27 1.9k
Anush Chiappino-Pepe United States 10 867 0.7× 561 1.6× 56 0.4× 42 0.4× 92 1.2× 16 1.7k
Mohd Danishuddin India 17 478 0.4× 366 1.1× 64 0.5× 83 0.9× 80 1.0× 39 1.1k

Countries citing papers authored by Nouman Rasool

Since Specialization
Citations

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

Fields of papers citing papers by Nouman Rasool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nouman Rasool

This figure shows the co-authorship network connecting the top 25 collaborators of Nouman Rasool. A scholar is included among the top collaborators of Nouman Rasool 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 Nouman Rasool. Nouman Rasool 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.
Hussain, Waqar, et al.. (2021). iTSP-PseAAC: Identifying Tumor Suppressor Proteins by Using Fully Connected Neural Network and PseAAC. Current Bioinformatics. 16(5). 700–709. 28 indexed citations
2.
Rasool, Nouman, et al.. (2021). Biological perspective of thiazolide derivatives against Mpro and MTase of SARS-CoV-2: Molecular docking, DFT and MD simulation investigations. Chemical Physics Letters. 771. 138463–138463. 17 indexed citations
3.
Hussain, Waqar, et al.. (2020). Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical Moment. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(5). 2045–2056. 36 indexed citations
4.
Naseer, Sheraz, Waqar Hussain, Yaser Daanial Khan, & Nouman Rasool. (2020). iPhosS(Deep)-PseAAC: Identification of Phosphoserine Sites in Proteins Using Deep Learning on General Pseudo Amino Acid Compositions. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(3). 1703–1714. 46 indexed citations
5.
Rasool, Nouman & Waqar Hussain. (2020). ForeStatistics: A windows-based feature-rich software program for performing statistics in forensic DNA analysis, paternity and relationship testing. Forensic Science International. 307. 110142–110142. 5 indexed citations
6.
7.
Hussain, Waqar, Nouman Rasool, & Muhammad Yaseen. (2020). ADVIT: Using the potentials of deep representations incorporated with grid-based features of dorsum vein patterns for human identification. Forensic Science International. 313. 110345–110345. 4 indexed citations
8.
Rasool, Nouman, et al.. (2020). Insights into the inhibitory potential of selective phytochemicals against Mpro of 2019-nCoV: a computer-aided study. Structural Chemistry. 31(5). 1777–1783. 23 indexed citations
9.
Hussain, Waqar, Yaser Daanial Khan, Nouman Rasool, Sher Afzal Khan, & Kuo‐Chen Chou. (2019). SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins. Journal of Theoretical Biology. 468. 1–11. 109 indexed citations
10.
Rasool, Nouman, et al.. (2019). Revelation of enzyme activity of mutant pyrazinamidases from Mycobacterium tuberculosis upon binding with various metals using quantum mechanical approach. Computational Biology and Chemistry. 83. 107108–107108. 17 indexed citations
11.
Yaseen, Muhammad, et al.. (2019). A PILOT STUDY FOR THE USE OF COUMARIN-480 TO ENHANCE FINGERMARKS. SHILAP Revista de lepidopterología. 185–196. 2 indexed citations
12.
Butt, Ahmad Hassan, Nouman Rasool, & Yaser Daanial Khan. (2019). Prediction of antioxidant proteins by incorporating statistical moments based features into Chou's PseAAC. Journal of Theoretical Biology. 473. 1–8. 50 indexed citations
13.
Hussain, Waqar, et al.. (2019). iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid Composition. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(2). 596–610. 79 indexed citations
14.
Hussain, Waqar, Yaser Daanial Khan, Nouman Rasool, Sher Afzal Khan, & Kuo‐Chen Chou. (2018). SPalmitoylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins. Analytical Biochemistry. 568. 14–23. 100 indexed citations
15.
Khan, Yaser Daanial, et al.. (2018). pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments. Journal of Theoretical Biology. 463. 47–55. 65 indexed citations
16.
Khan, Yaser Daanial, Nouman Rasool, Waqar Hussain, Sher Afzal Khan, & Kuo‐Chen Chou. (2018). iPhosT-PseAAC: Identify phosphothreonine sites by incorporating sequence statistical moments into PseAAC. Analytical Biochemistry. 550. 109–116. 103 indexed citations
17.
Rasool, Nouman, et al.. (2018). Computational exploration of antiviral activity of phytochemicals against NS2B/NS3 proteases from dengue virus. Turkish Journal of Biochemistry. 44(3). 261–277. 26 indexed citations
18.
19.
Rasool, Nouman, et al.. (2017). Prediction of N-linked glycosylation sites using position relative features and statistical moments. PLoS ONE. 12(8). e0181966–e0181966. 81 indexed citations
20.
Rasool, Nouman, et al.. (2016). The Role of Lipsticks and Blush Sticks in Genetic Profiling for Human Identification. SHILAP Revista de lepidopterología. 1 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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