Mohd Haneef

476 total citations
10 papers, 374 citations indexed

About

Mohd Haneef is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Mohd Haneef has authored 10 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Mohd Haneef's work include Computational Drug Discovery Methods (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Diabetic Foot Ulcer Assessment and Management (1 paper). Mohd Haneef is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Diabetic Foot Ulcer Assessment and Management (1 paper). Mohd Haneef collaborates with scholars based in India and Saudi Arabia. Mohd Haneef's co-authors include Syed Mohd Danish Rizvi, Shazi Shakil, Mohtashim Lohani, Sibhghatulla Shaikh, Qazi Mohammad Sajid Jamal, Adel Abuzenadah, Mohammad Haris Siddiqui, Shailendra K. Gupta, Mohd. Haris Siddiqui and Mohammad A. Ansari and has published in prestigious journals such as Neurochemical Research, CNS & Neurological Disorders - Drug Targets and Pharmacognosy Magazine.

In The Last Decade

Mohd Haneef

9 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohd Haneef India 8 151 113 94 50 41 10 374
Md. Junaid Bangladesh 14 219 1.5× 96 0.8× 81 0.9× 66 1.3× 46 1.1× 30 484
Munazzah Tasleem Saudi Arabia 11 208 1.4× 58 0.5× 91 1.0× 41 0.8× 42 1.0× 33 453
Yuquan Zhou China 4 157 1.0× 153 1.4× 73 0.8× 45 0.9× 22 0.5× 6 362
Damilohun Samuel Metibemu Nigeria 11 150 1.0× 81 0.7× 80 0.9× 33 0.7× 40 1.0× 32 385
Mohammad Haris Siddiqui India 8 207 1.4× 174 1.5× 69 0.7× 41 0.8× 51 1.2× 20 432
Supriyo Saha India 13 155 1.0× 81 0.7× 141 1.5× 35 0.7× 43 1.0× 52 378
Mukhtar Oluwaseun Idris China 8 227 1.5× 198 1.8× 123 1.3× 38 0.8× 29 0.7× 13 458
Ibrahim Olaide Adedotun Nigeria 8 171 1.1× 189 1.7× 133 1.4× 40 0.8× 43 1.0× 18 454
Aravinda Pai India 9 120 0.8× 82 0.7× 133 1.4× 50 1.0× 20 0.5× 55 309
Ashwag S. Alanazi Saudi Arabia 13 150 1.0× 82 0.7× 207 2.2× 55 1.1× 32 0.8× 57 478

Countries citing papers authored by Mohd Haneef

Since Specialization
Citations

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

Fields of papers citing papers by Mohd Haneef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohd Haneef

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Haneef. A scholar is included among the top collaborators of Mohd Haneef 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 Mohd Haneef. Mohd Haneef is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Khan, Saif Ullah, et al.. (2025). Diabetic Peripheral Neuropathy: Navigating Controversies and Pioneering Advances. Advancements in Life Sciences. 12(1). 1–1.
2.
Haneef, Mohd, et al.. (2016). Nanomaterials Used As A Plants Growth Enhancer: An Update. 2016. 11 indexed citations
4.
Shaikh, Sibhghatulla, Syed Mohd Danish Rizvi, Shazi Shakil, et al.. (2016). Predictionof Anti-Diabetic Drugs as Dual Inhibitors Against Acetylcholinesterase and Beta-Secretase: A Neuroinformatics Study. CNS & Neurological Disorders - Drug Targets. 15(10). 1216–1221. 8 indexed citations
5.
Shakil, Shazi, Mohammad Haris Siddiqui, Mohd Haneef, et al.. (2014). Compounds isolated from Ageratum houstonianum inhibit the activity of matrix metalloproteinases (MMP-2 and MMP-9): An oncoinformatics study. Pharmacognosy Magazine. 10(37). 18–18. 14 indexed citations
6.
Dhasmana, Anupam, et al.. (2014). Comparative Molecular Docking Studies with ABCC1 and Aquaporin 9 in the Arsenite Complex Efflux. Bioinformation. 10(8). 474–479. 1 indexed citations
8.
Rizvi, Syed Mohd Danish, Shazi Shakil, & Mohd Haneef. (2013). A simple click by click protocol to perform docking: AutoDock 4.2 made easy for non-bioinformaticians.. PubMed. 12. 831–57. 284 indexed citations
9.
Rizvi, Syed Mohd Danish, Shazi Shakil, & Mohd Haneef. (2013). A simple click by click protocol to perform docking. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 13 indexed citations
10.
Jamal, Qazi Mohammad Sajid, Mohtashim Lohani, Mohd. Haris Siddiqui, et al.. (2012). Molecular interaction analysis of cigarette smoke carcinogens NNK and NNAL with enzymes involved in DNA repair pathways: An in silico approach. Bioinformation. 8(17). 795–800. 14 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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