Aneela Sabir

97 total papers · 2.3k total citations
70 papers, 1.8k citations indexed

About

Aneela Sabir is a scholar working on Water Science and Technology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Aneela Sabir has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Water Science and Technology, 34 papers in Biomedical Engineering and 17 papers in Biomaterials. Recurrent topics in Aneela Sabir's work include Membrane Separation Technologies (34 papers), Graphene and Nanomaterials Applications (18 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). Aneela Sabir is often cited by papers focused on Membrane Separation Technologies (34 papers), Graphene and Nanomaterials Applications (18 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). Aneela Sabir collaborates with scholars based in Pakistan, Saudi Arabia and United States. Aneela Sabir's co-authors include Rafi Ullah Khan, Atif Islam, Tahir Jamil, Muhammad Shafiq, Muhammad Taqi Zahid Butt, Shahzad Maqsood Khan, Nafisa Gull, Karl I. Jacob, Syed Zohaib Javaid Zaidi and Sammer-ul Hassan and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and The Science of The Total Environment.

In The Last Decade

Aneela Sabir

69 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aneela Sabir 727 684 525 277 268 70 1.8k
Azadeh Ghaee 825 1.1× 506 0.7× 1.0k 2.0× 371 1.3× 231 0.9× 67 2.3k
Jiandu Lei 824 1.1× 388 0.6× 750 1.4× 425 1.5× 203 0.8× 55 2.1k
Lian Duan 676 0.9× 478 0.7× 621 1.2× 546 2.0× 153 0.6× 97 2.4k
Christopher Branford‐White 726 1.0× 437 0.6× 1000 1.9× 238 0.9× 165 0.6× 43 2.1k
K.M. Nalin de Silva 716 1.0× 408 0.6× 648 1.2× 640 2.3× 169 0.6× 72 2.3k
Rizafizah Othaman 477 0.7× 280 0.4× 473 0.9× 181 0.7× 311 1.2× 73 1.5k
Muhammad Taqi Zahid Butt 405 0.6× 334 0.5× 375 0.7× 132 0.5× 261 1.0× 43 1.3k
Rafi Ullah Khan 712 1.0× 270 0.4× 753 1.4× 335 1.2× 252 0.9× 87 2.2k
Mahmoud H. Abu Elella 437 0.6× 455 0.7× 603 1.1× 348 1.3× 71 0.3× 46 2.0k
Rui Wang 571 0.8× 242 0.4× 642 1.2× 495 1.8× 192 0.7× 65 2.4k

Countries citing papers authored by Aneela Sabir

Since Specialization
Citations

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

Fields of papers citing papers by Aneela Sabir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aneela Sabir

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

All Works

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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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