Chand Raza

30 total papers · 1.1k total citations
22 papers, 801 citations indexed

About

Chand Raza is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, Chand Raza has authored 22 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Biomaterials. Recurrent topics in Chand Raza's work include Silk-based biomaterials and applications (4 papers), Nerve injury and regeneration (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Chand Raza is often cited by papers focused on Silk-based biomaterials and applications (4 papers), Nerve injury and regeneration (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Chand Raza collaborates with scholars based in Pakistan, China and Hong Kong. Chand Raza's co-authors include Rabia Anjum, Juan A. Melero, David H. Bremner, Fernando Martı́nez, R. Molina, Yolanda Segura, Haseeb Anwar, Ghulam Hussain, Rabia Akram and Hyung Soo Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied Catalysis B: Environmental.

In The Last Decade

Chand Raza

20 papers receiving 784 citations

Hit Papers

Parkinson's disease: Mech... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Chand Raza 224 212 190 122 84 22 801
Xuemin Gao 261 1.2× 208 1.0× 193 1.0× 97 0.8× 60 0.7× 72 1.0k
Deqin Geng 120 0.5× 442 2.1× 67 0.4× 84 0.7× 37 0.4× 56 1.0k
Alessia Lasorsa 128 0.6× 303 1.4× 58 0.3× 116 1.0× 23 0.3× 28 924
Chen Zhou 116 0.5× 315 1.5× 65 0.3× 40 0.3× 51 0.6× 68 825
Amandeep Girdhar 85 0.4× 481 2.3× 434 2.3× 41 0.3× 47 0.6× 26 997
Fei Gao 90 0.4× 165 0.8× 135 0.7× 51 0.4× 27 0.3× 52 814
Maha Elsayed 310 1.4× 398 1.9× 37 0.2× 55 0.5× 33 0.4× 24 982
Allison W. Dobson 98 0.4× 260 1.2× 58 0.3× 54 0.4× 17 0.2× 15 968
Janel E. Owens 146 0.7× 228 1.1× 77 0.4× 146 1.2× 13 0.2× 43 981
Linsen Hu 143 0.6× 400 1.9× 127 0.7× 32 0.3× 25 0.3× 18 708

Countries citing papers authored by Chand Raza

Since Specialization
Citations

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

Fields of papers citing papers by Chand Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chand Raza

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