Sulail Fatima

23 total papers · 747 total citations
16 papers, 578 citations indexed

About

Sulail Fatima is a scholar working on Cellular and Molecular Neuroscience, Neurology and Biological Psychiatry. According to data from OpenAlex, Sulail Fatima has authored 16 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Neurology and 4 papers in Biological Psychiatry. Recurrent topics in Sulail Fatima's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Tryptophan and brain disorders (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Sulail Fatima is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Tryptophan and brain disorders (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Sulail Fatima collaborates with scholars based in Iran, United States and Pakistan. Sulail Fatima's co-authors include Majid Motaghinejad, Manijeh Motevalian, Morteza Karimian, Majid Motaghinejad, Mina Gholami, Xiaoyun Guo, Xiaoyun Guo, Yi Chen, Hui He and Jing Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Physiology.

In The Last Decade

Sulail Fatima

15 papers receiving 573 citations

Hit Papers

Oxidative stress induces ... 2023 2026 2024 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Sulail Fatima 171 167 112 112 102 16 578
Yajun Lian 116 0.7× 195 1.2× 88 0.8× 252 2.3× 41 0.4× 23 656
Amin Mokhtari‐Zaer 71 0.4× 206 1.2× 80 0.7× 71 0.6× 71 0.7× 21 636
Shubham Dwivedi 69 0.4× 138 0.8× 139 1.2× 82 0.7× 189 1.9× 15 652
Faheem Ullah 103 0.6× 180 1.1× 170 1.5× 166 1.5× 60 0.6× 21 595
Jun Shen 72 0.4× 141 0.8× 136 1.2× 85 0.8× 148 1.5× 27 564
Wenting Fang 95 0.6× 212 1.3× 70 0.6× 176 1.6× 138 1.4× 20 572
Jun Jiang 122 0.7× 149 0.9× 189 1.7× 135 1.2× 22 0.2× 23 605
Yale Duan 130 0.8× 196 1.2× 77 0.7× 184 1.6× 25 0.2× 17 550
Seyed Morteza Karimian 253 1.5× 142 0.9× 90 0.8× 141 1.3× 35 0.3× 37 671
Gireesh Gangadharan 206 1.2× 167 1.0× 83 0.7× 157 1.4× 32 0.3× 25 636

Countries citing papers authored by Sulail Fatima

Since Specialization
Citations

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

Fields of papers citing papers by Sulail Fatima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sulail Fatima

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