Mohd Haneef
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 4
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- Advanced biosensing and bioanalysis techniques 1
- Enzyme function and inhibition 1
- Co-authors
- Shazi Shakil (5 shared papers)Syed Mohd Danish Rizvi (5 shared papers)Mohtashim Lohani (5 shared papers)Sibhghatulla Shaikh (3 shared papers)Qazi Mohammad Sajid Jamal (3 shared papers)Adel Abuzenadah (2 shared papers)Mohammad A. Ansari (1 shared paper)Mohammad Haris Siddiqui (1 shared paper)
- Journals
- Neurochemical Research (1 paper)CNS & Neurological Disorders - Drug Targets (1 paper)Pharmacognosy Magazine (1 paper)Advancements in Life Sciences (1 paper)Technische Universität Dortmund Eldorado (Technische Universität Dortmund) (1 paper)
- Partner nations
- IndiaSaudi Arabia
In The Last Decade
Mohd Haneef
9 papers receiving 363 citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 113
- Toxicology 15
- Organic Chemistry 94
- Pharmacology 28
- Pharmacology 50
Countries citing papers authored by Mohd Haneef
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
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-authors
The 16 scholars most cited alongside Mohd Haneef, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A simple click by click protocol to perform docking: AutoDock 4.2 made easy for non-bioinformaticians. | 2013 | 284 |
| 2 | 2016 | 22 | |
| 3 | 2014 | 14 | |
| 4 | 2012 | 14 | |
| 5 | 2013 | 13 | |
| 6 | Nanomaterials Used As A Plants Growth Enhancer: An Update | 2016 | 11 |
| 7 | 2016 | 8 | |
| 8 | 2014 | 7 | |
| 9 | 2014 | 1 | |
| 10 | 2025 | 0 |
About Mohd Haneef
Mohd Haneef is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Cancer Research and Organic Chemistry, having authored 10 papers that have together received 374 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Graphene and Nanomaterials Applications (1 paper), Pain Mechanisms and Treatments (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Enzyme function and inhibition (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Computational Theory and Mathematics (113 citations), Toxicology (15 citations), Organic Chemistry (94 citations), Pharmacology (28 citations) and Pharmacology (50 citations). Mohd Haneef has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include Shazi Shakil, Syed Mohd Danish Rizvi, Mohtashim Lohani, Sibhghatulla Shaikh, Qazi Mohammad Sajid Jamal, Adel Abuzenadah, Mohammad A. Ansari, Mohammad Haris Siddiqui, Mohd. Haris Siddiqui and Gulshan Wadhwa. Their work appears in journals such as Neurochemical Research, CNS & Neurological Disorders - Drug Targets, Pharmacognosy Magazine, Advancements in Life Sciences and Technische Universität Dortmund Eldorado (Technische Universität Dortmund).
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.