Syed Muhammad Hamid

23 total papers · 711 total citations
18 papers, 524 citations indexed

About

Syed Muhammad Hamid is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Syed Muhammad Hamid has authored 18 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Syed Muhammad Hamid's work include Endoplasmic Reticulum Stress and Disease (4 papers), Pancreatic function and diabetes (3 papers) and RNA Research and Splicing (3 papers). Syed Muhammad Hamid is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Pancreatic function and diabetes (3 papers) and RNA Research and Splicing (3 papers). Syed Muhammad Hamid collaborates with scholars based in Türkiye, United States and Pakistan. Syed Muhammad Hamid's co-authors include Ebru Erbay, Begüm Kocatürk, Özlem Tufanlı, İsmail Çimen, Umut İnci Onat, Peter Walter, Christian Weber, Pelin Telkoparan‐Akillilar, Diego Acosta‐Alvear and Jon Sin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of the American College of Cardiology.

In The Last Decade

Syed Muhammad Hamid

18 papers receiving 518 citations

Author Peers

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

Author Last Decade Papers Cites
Syed Muhammad Hamid 250 159 125 73 69 18 524
Hiroyuki Yamazaki 223 0.9× 231 1.5× 171 1.4× 79 1.1× 49 0.7× 39 610
Kee Hun 280 1.1× 88 0.6× 45 0.4× 110 1.5× 40 0.6× 25 557
Mingliang Zhang 287 1.1× 51 0.3× 146 1.2× 27 0.4× 80 1.2× 33 555
Yasuhiro Tagawa 218 0.9× 306 1.9× 208 1.7× 86 1.2× 56 0.8× 13 568
Yasutoshi Nozaki 164 0.7× 79 0.5× 314 2.5× 67 0.9× 64 0.9× 15 528
Ananya Gupta 362 1.4× 161 1.0× 112 0.9× 75 1.0× 68 1.0× 27 616
Hitoshi Kandori 252 1.0× 96 0.6× 27 0.2× 69 0.9× 66 1.0× 22 587
Hye Jin Choi 209 0.8× 73 0.5× 46 0.4× 135 1.8× 37 0.5× 21 486
Chia-Yuan Hsieh 254 1.0× 28 0.2× 106 0.8× 157 2.2× 40 0.6× 18 571
Shanna L. Banman 292 1.2× 94 0.6× 118 0.9× 40 0.5× 68 1.0× 13 588

Countries citing papers authored by Syed Muhammad Hamid

Since Specialization
Citations

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

Fields of papers citing papers by Syed Muhammad Hamid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Syed Muhammad Hamid. 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 Syed Muhammad Hamid. The network helps show where Syed Muhammad Hamid may publish in the future.

Co-authorship network of co-authors of Syed Muhammad Hamid

This figure shows the co-authorship network connecting the top 25 collaborators of Syed Muhammad Hamid. A scholar is included among the top collaborators of Syed Muhammad Hamid 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 Syed Muhammad Hamid. Syed Muhammad Hamid 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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