Fahad Ali

54 total papers · 1.9k total citations
41 papers, 1.5k citations indexed

About

Fahad Ali is a scholar working on Molecular Biology, Pharmacology and Neurology. According to data from OpenAlex, Fahad Ali has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Pharmacology and 7 papers in Neurology. Recurrent topics in Fahad Ali's work include Neuroblastoma Research and Treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Genomics and Chromatin Dynamics (3 papers). Fahad Ali is often cited by papers focused on Neuroblastoma Research and Treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Genomics and Chromatin Dynamics (3 papers). Fahad Ali collaborates with scholars based in India, United Kingdom and United Arab Emirates. Fahad Ali's co-authors include Yasir Hasan Siddique, Falaq Naz, Smita Jyoti, Anna Philpott, Rahul Rahul, Rahul, Laura J.A. Hardwick, Roberta Azzarelli, Alison Jones and François Guillemot and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Development.

In The Last Decade

Fahad Ali

40 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Fahad Ali 722 241 176 174 159 41 1.5k
Cleide Dos Santos Souza 525 0.7× 129 0.5× 115 0.7× 154 0.9× 137 0.9× 48 1.1k
Zhen‐Lun Gu 796 1.1× 238 1.0× 152 0.9× 156 0.9× 210 1.3× 80 1.7k
Mitsunari Nakajima 770 1.1× 171 0.7× 414 2.4× 212 1.2× 220 1.4× 77 1.7k
Ramon dos Santos El-Bachá 650 0.9× 119 0.5× 164 0.9× 230 1.3× 231 1.5× 62 1.6k
Jinyoung Hur 509 0.7× 187 0.8× 139 0.8× 160 0.9× 207 1.3× 45 1.4k
Yun Tai Kim 630 0.9× 214 0.9× 184 1.0× 171 1.0× 226 1.4× 74 1.5k
Heena Tabassum 605 0.8× 113 0.5× 127 0.7× 158 0.9× 217 1.4× 62 1.8k
Chunmei Ma 797 1.1× 158 0.7× 126 0.7× 135 0.8× 293 1.8× 36 1.6k
Man-Shan Yu 551 0.8× 180 0.7× 260 1.5× 218 1.3× 324 2.0× 15 1.3k
Chung‐Kil Won 483 0.7× 124 0.5× 105 0.6× 181 1.0× 134 0.8× 68 1.1k

Countries citing papers authored by Fahad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Fahad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahad Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Fahad Ali. A scholar is included among the top collaborators of Fahad Ali 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 Fahad Ali. Fahad Ali 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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2026