Sajid Maqsood

288 total papers · 12.7k total citations
237 papers, 8.1k citations indexed

About

Sajid Maqsood is a scholar working on Food Science, Molecular Biology and Plant Science. According to data from OpenAlex, Sajid Maqsood has authored 237 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Food Science, 85 papers in Molecular Biology and 50 papers in Plant Science. Recurrent topics in Sajid Maqsood's work include Protein Hydrolysis and Bioactive Peptides (78 papers), Proteins in Food Systems (55 papers) and Animal Diversity and Health Studies (45 papers). Sajid Maqsood is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (78 papers), Proteins in Food Systems (55 papers) and Animal Diversity and Health Studies (45 papers). Sajid Maqsood collaborates with scholars based in United Arab Emirates, Thailand and India. Sajid Maqsood's co-authors include Soottawat Benjakul, Priti Mudgil, Hina Kamal, Chee‐Yuen Gan, Mudasir Ahmad, Amjad Khansaheb Balange, Waqas N. Baba, Thanasak Sae‐leaw, Aisha Abushelaibi and Tran Hong Quan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sajid Maqsood

218 papers receiving 7.9k citations

Hit Papers

Protein–polyphenol conjug... 2018 2026 2020 2023 2019 2018 2019 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Sajid Maqsood 3.9k 2.9k 1.6k 1.2k 1.2k 237 8.1k
Zongcai Tu 3.8k 1.0× 2.3k 0.8× 1.4k 0.9× 1.2k 1.0× 996 0.8× 298 7.5k
Barbara Rasco 3.4k 0.9× 3.6k 1.2× 2.4k 1.5× 784 0.7× 1.3k 1.1× 254 10.8k
Paulo E. S. Munekata 4.3k 1.1× 2.3k 0.8× 3.4k 2.2× 1.3k 1.1× 1.7k 1.4× 165 10.0k
Songyi Lin 2.3k 0.6× 3.5k 1.2× 1.5k 1.0× 841 0.7× 869 0.7× 295 6.9k
Xiaoming Zhang 4.9k 1.3× 3.0k 1.0× 1.5k 0.9× 1.5k 1.3× 1.3k 1.1× 332 11.0k
Fatih Özoğul 3.9k 1.0× 4.7k 1.6× 3.1k 2.0× 1.5k 1.3× 1.2k 1.0× 299 11.4k
Salam A. Ibrahim 5.0k 1.3× 2.5k 0.8× 892 0.6× 1.7k 1.4× 2.4k 2.0× 273 10.7k
Nazamid Saari 3.2k 0.8× 2.9k 1.0× 833 0.5× 1.3k 1.1× 2.4k 2.1× 264 9.6k
Witoon Prinyawiwatkul 3.6k 0.9× 1.5k 0.5× 1.8k 1.1× 2.0k 1.7× 1.7k 1.5× 268 8.0k
Shuqin Xia 4.0k 1.0× 1.7k 0.6× 1.1k 0.7× 1.1k 0.9× 885 0.8× 149 7.2k

Countries citing papers authored by Sajid Maqsood

Since Specialization
Citations

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

Fields of papers citing papers by Sajid Maqsood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajid Maqsood

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