Maria Shabbir

99 total papers · 2.2k total citations
56 papers, 1.6k citations indexed

About

Maria Shabbir is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Maria Shabbir has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Genetics. Recurrent topics in Maria Shabbir's work include Protein Kinase Regulation and GTPase Signaling (8 papers), RNA modifications and cancer (7 papers) and RNA Research and Splicing (6 papers). Maria Shabbir is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (8 papers), RNA modifications and cancer (7 papers) and RNA Research and Splicing (6 papers). Maria Shabbir collaborates with scholars based in Pakistan, Saudi Arabia and United States. Maria Shabbir's co-authors include Muhammad Rashid Khan, Yasmin Badshah, Suhail Razak, Tayyaba Afsar, Ali Almajwal, Khushbukhat Khan, Mohammad Imran Khan, Hasan Mukhtar, Deeba N. Syed and Umbreen Rashid and has published in prestigious journals such as PLoS ONE, Scientific Reports and Human Molecular Genetics.

In The Last Decade

Maria Shabbir

48 papers receiving 1.5k citations

Hit Papers

Antioxidant activity, tot... 2012 2026 2016 2021 2012 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Maria Shabbir 508 508 384 315 194 56 1.6k
Chang Won Choi 471 0.9× 686 1.4× 355 0.9× 357 1.1× 157 0.8× 52 2.0k
Norhaizan Mohd Esa 579 1.1× 549 1.1× 231 0.6× 316 1.0× 209 1.1× 75 1.8k
Ke Yuan 666 1.3× 430 0.8× 309 0.8× 254 0.8× 165 0.9× 87 1.7k
Hae‐Dong Jang 683 1.3× 352 0.7× 417 1.1× 262 0.8× 226 1.2× 60 1.6k
Tao Shen 657 1.3× 408 0.8× 410 1.1× 262 0.8× 165 0.9× 43 1.6k
Azlina Abdul Aziz 345 0.7× 471 0.9× 540 1.4× 292 0.9× 170 0.9× 56 1.5k
Sayed Afzal Shah 544 1.1× 572 1.1× 205 0.5× 240 0.8× 209 1.1× 54 1.8k
Ashutosh Gupta 762 1.5× 483 1.0× 249 0.6× 252 0.8× 228 1.2× 41 1.9k
Arūnas Savickas 716 1.4× 460 0.9× 398 1.0× 382 1.2× 207 1.1× 63 1.9k
Joanna Kołodziejczyk-Czepas 526 1.0× 540 1.1× 577 1.5× 275 0.9× 156 0.8× 104 1.9k

Countries citing papers authored by Maria Shabbir

Since Specialization
Citations

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

Fields of papers citing papers by Maria Shabbir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Shabbir

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Shabbir. A scholar is included among the top collaborators of Maria Shabbir 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 Maria Shabbir. Maria Shabbir 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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