Tanveer A. Wani

3.8k total citations
121 papers, 2.8k citations indexed

About

Tanveer A. Wani is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Tanveer A. Wani has authored 121 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 24 papers in Oncology and 22 papers in Organic Chemistry. Recurrent topics in Tanveer A. Wani's work include Protein Interaction Studies and Fluorescence Analysis (23 papers), Analytical Methods in Pharmaceuticals (17 papers) and Enzyme function and inhibition (13 papers). Tanveer A. Wani is often cited by papers focused on Protein Interaction Studies and Fluorescence Analysis (23 papers), Analytical Methods in Pharmaceuticals (17 papers) and Enzyme function and inhibition (13 papers). Tanveer A. Wani collaborates with scholars based in Saudi Arabia, Pakistan and India. Tanveer A. Wani's co-authors include Seema Zargar, Ahmed H. Bakheit, Nawaf A. Alsaif, Ibrahim A. Darwısh, Nasr Y. Khalil, Abdulrahman A. Al‐Majed, Azmat Ali Khan, M. A. Bhat, Ajaz Ahmad and Mohammed M. Alanazi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Tanveer A. Wani

117 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanveer A. Wani Saudi Arabia 32 1.5k 732 539 231 228 121 2.8k
Seema Zargar Saudi Arabia 31 1.4k 0.9× 708 1.0× 504 0.9× 177 0.8× 185 0.8× 113 2.5k
Junhui Pan China 32 1.7k 1.1× 601 0.8× 427 0.8× 195 0.8× 319 1.4× 66 3.2k
Ahmed H. Bakheit Saudi Arabia 30 1.5k 1.0× 819 1.1× 792 1.5× 223 1.0× 73 0.3× 145 2.7k
Sadegh Farhadian Iran 36 1.9k 1.3× 562 0.8× 389 0.7× 239 1.0× 159 0.7× 119 2.6k
Behzad Shareghi Iran 36 2.0k 1.3× 559 0.8× 397 0.7× 313 1.4× 168 0.7× 136 2.7k
Andreas G. Tzakos Greece 34 1.8k 1.2× 401 0.5× 665 1.2× 271 1.2× 459 2.0× 171 4.1k
Di Wu China 35 1.5k 1.0× 410 0.6× 309 0.6× 402 1.7× 197 0.9× 136 3.3k
Reza Khodarahmi‬ Iran 28 1.5k 1.0× 278 0.4× 384 0.7× 233 1.0× 329 1.4× 157 3.1k
Jiabo Wang China 34 1.9k 1.3× 538 0.7× 279 0.5× 217 0.9× 850 3.7× 196 4.1k
Haruhiro Okuda Japan 31 1.4k 0.9× 342 0.5× 695 1.3× 241 1.0× 101 0.4× 113 2.9k

Countries citing papers authored by Tanveer A. Wani

Since Specialization
Citations

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

Fields of papers citing papers by Tanveer A. Wani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanveer A. Wani. 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 Tanveer A. Wani. The network helps show where Tanveer A. Wani may publish in the future.

Co-authorship network of co-authors of Tanveer A. Wani

This figure shows the co-authorship network connecting the top 25 collaborators of Tanveer A. Wani. A scholar is included among the top collaborators of Tanveer A. Wani 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 Tanveer A. Wani. Tanveer A. Wani 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.
Ahmed, Mahmood, Muhammad Ahmad, Waqar Ahmad, et al.. (2024). Assessment of carcinogenic and non-carcinogenic risk of exposure to potentially toxic elements in tea infusions: Determination by ICP-OES and multivariate statistical data analysis. Journal of Trace Elements in Medicine and Biology. 84. 127454–127454. 25 indexed citations
2.
Ahmed, Mahmood, et al.. (2024). Appraisal of potentially toxic metals contamination in protein supplements for muscle growth: A chemometric approach and associated human health risks. Journal of Trace Elements in Medicine and Biology. 85. 127481–127481. 18 indexed citations
4.
Ahmed, Mahmood, Amna Yousaf, Waqar Ahmad, et al.. (2024). Chemometric Analysis and Human Health Implications of Trace and Heavy/Non-Essential Metals through ingestion of Carbonated and Non-Carbonated Beverages. Biological Trace Element Research. 202(12). 5828–5849. 13 indexed citations
5.
Rashid, Junaid, et al.. (2024). Ontogenic Predisposition of Tomato Foliage to Early Blight Caused by Alternaria solani under Mountainous Conditions of Kashmir. Journal of Experimental Agriculture International. 46(8). 263–267.
7.
Wani, Tanveer A., et al.. (2023). Status and management of angular leaf spot disease of beans (Phaseolus vulgaris L.) caused by Phaeoisariopsis griseola (Sacc.) Ferraris. Indian Phytopathology. 76(2). 473–481. 1 indexed citations
11.
Aziz, Mubashir, Aamer Saeed, Syeda Abida Ejaz, et al.. (2022). Analysis of 1-Aroyl-3-[3-chloro-2-methylphenyl] Thiourea Hybrids as Potent Urease Inhibitors: Synthesis, Biochemical Evaluation and Computational Approach. International Journal of Molecular Sciences. 23(19). 11646–11646. 15 indexed citations
12.
Farooq, Umar, Sara Khan, Sadia Naz, et al.. (2022). Three New Acrylic Acid Derivatives from Achillea mellifolium as Potential Inhibitors of Urease from Jack Bean and α-Glucosidase from Saccharomyces cerevisiae. Molecules. 27(15). 5004–5004. 6 indexed citations
13.
Aziz, Mubashir, Syeda Abida Ejaz, Seema Zargar, et al.. (2022). Deep Learning and Structure-Based Virtual Screening for Drug Discovery against NEK7: A Novel Target for the Treatment of Cancer. Molecules. 27(13). 4098–4098. 48 indexed citations
14.
Wani, Tanveer A., Nawaf A. Alsaif, Mohammed M. Alanazi, et al.. (2021). Binding of colchicine and ascorbic acid (vitamin C) to bovine serum albumin: An in-vitro interaction study using multispectroscopic, molecular docking and molecular dynamics simulation study. Journal of Molecular Liquids. 342. 117542–117542. 55 indexed citations
15.
Alsaif, Nawaf A., et al.. (2020). A Spectroscopic, Thermodynamic and Molecular Docking Study of the Binding Mechanism of Dapoxetine with Calf Thymus DNA. South African Journal of Chemistry. 73. 45 indexed citations
16.
Wani, Tanveer A., Ahmed H. Bakheit, Seema Zargar, M. A. Bhat, & Abdulrahman A. Al‐Majed. (2019). Molecular docking and experimental investigation of new indole derivative cyclooxygenase inhibitor to probe its binding mechanism with bovine serum albumin. Bioorganic Chemistry. 89. 103010–103010. 53 indexed citations
17.
Zargar, Seema, Abdulaziz A. Al‐Jafari, & Tanveer A. Wani. (2018). Variants in MEF2A gene in relation with coronary artery disease in Saudi population. 3 Biotech. 8(7). 289–289. 5 indexed citations
18.
Wani, Tanveer A., et al.. (2016). Analytical Application of Flow Immunosensor in Detection of Thyroxine and Triiodothyronine in Serum. Assay and Drug Development Technologies. 14(9). 535–542. 8 indexed citations
19.
Wani, Tanveer A., Ibrahim A. Darwısh, & Nasr Y. Khalil. (2013). Novel Microwell-Based Spectrophotometric Assay for the Determination of Rosuvastatin Calcium in its Pharmaceutical Formulations. Current Pharmaceutical Analysis. 9(1). 54–60. 6 indexed citations
20.
Wani, Tanveer A., Ajaz Ahmad, Seema Zargar, Nasr Y. Khalil, & Ibrahim A. Darwısh. (2012). Use of response surface methodology for development of new microwell-based spectrophotometric method for determination of atrovastatin calcium in tablets. Chemistry Central Journal. 6(1). 134–134. 43 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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