Nadia Anwar
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Electrical and Electronic Engineering
- Cancer Research
- Co-authors
- Nikolaus SchultzEthan CeramiChris SanderÖzgün BaburEmek DemirGary D. BaderIgor RodchenkovJeong Ryeol Choi
- Topics
- Graphene research and applications (4 papers)Quantum Dots Synthesis And Properties (3 papers)Gas Sensing Nanomaterials and Sensors (3 papers)
- Partner nations
- PakistanChinaUnited Kingdom
In The Last Decade
Nadia Anwar
26 papers receiving 972 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 687
- Computational Theory and Mathematics 148
- Materials Chemistry 132
- Electrical and Electronic Engineering 116
- Cancer Research 93
Countries citing papers authored by Nadia Anwar
This map shows the geographic impact of Nadia Anwar'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 Nadia Anwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Anwar more than expected).
Fields of papers citing papers by Nadia Anwar
This network shows the impact of papers produced by Nadia Anwar. 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 Nadia Anwar. The network helps show where Nadia Anwar may publish in the future.
Co-authorship network of co-authors of Nadia Anwar
This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Anwar. A scholar is included among the top collaborators of Nadia Anwar 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 Nadia Anwar. Nadia Anwar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 30 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | A Meta-Functional Analysis of Baba Bulleh Shah’s Kafi: Ranja Ranjha Kardi Hun Mein Apey Ranjha Hoi | 1 |
| 15 | 7 | |
| 16 | 7 | |
| 17 | Pathway Commons, a web resource for biological pathway databreakdown → | 764 |
| 18 | 10 | |
| 19 | 7 | |
| 20 | Semantic Data Integration for Francisella tularensis novicida Proteomic and Genomic Data. | 2 |
About Nadia Anwar
Nadia Anwar is a scholar working on Surfaces, Coatings and Films, Materials Chemistry and Ecological Modeling, having authored 28 papers that have together received 991 indexed citations. Recurring topics across this work include Graphene research and applications (4 papers), Quantum Dots Synthesis And Properties (3 papers) and Gas Sensing Nanomaterials and Sensors (3 papers). The work is most often cited by research in Molecular Biology (687 citations), Computational Theory and Mathematics (148 citations) and Cancer Research (93 citations). Nadia Anwar has collaborated with scholars based in Pakistan, China and United Kingdom. Frequent co-authors include Nikolaus Schultz, Ethan Cerami, Chris Sander, Özgün Babur, Emek Demir, Gary D. Bader, Igor Rodchenkov, Jeong Ryeol Choi, Muhammad Aamir Iqbal and Maria Malik. Their work appears in journals such as Nucleic Acids Research, The Journal of Physical Chemistry C and Molecules.
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.