Molla Huq

75 total papers · 2.2k total citations
42 papers, 1.1k citations indexed

About

Molla Huq is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Rheumatology. According to data from OpenAlex, Molla Huq has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 11 papers in Cardiology and Cardiovascular Medicine and 10 papers in Rheumatology. Recurrent topics in Molla Huq's work include Systemic Sclerosis and Related Diseases (11 papers), Systemic Lupus Erythematosus Research (8 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). Molla Huq is often cited by papers focused on Systemic Sclerosis and Related Diseases (11 papers), Systemic Lupus Erythematosus Research (8 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). Molla Huq collaborates with scholars based in Australia, Singapore and Canada. Molla Huq's co-authors include Mandana Nikpour, Eric F. Morand, Wendy Stevens, Alberta Hoi, Susanna Proudman, Aisha Lateef, Kate Franklyn, Chak Sing Lau, Sandra Navarra and Cesarius Singgih Wahono and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Molla Huq

38 papers receiving 1.1k citations

Hit Papers

Definition and initial va... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Molla Huq 624 426 412 221 219 42 1.1k
Grace S. Park 856 1.4× 406 1.0× 357 0.9× 111 0.5× 106 0.5× 31 1.4k
T B Wallington 514 0.8× 284 0.7× 186 0.5× 302 1.4× 72 0.3× 43 1.4k
Nuntana Kasitanon 912 1.5× 428 1.0× 226 0.5× 84 0.4× 145 0.7× 72 1.3k
P. L. C. M. van Riel 930 1.5× 284 0.7× 294 0.7× 79 0.4× 127 0.6× 25 1.3k
Tatiana Cobo‐Ibáñez 1.0k 1.7× 437 1.0× 119 0.3× 87 0.4× 127 0.6× 41 1.4k
M. Pétri 848 1.4× 605 1.4× 187 0.5× 160 0.7× 209 1.0× 27 1.2k
Sonja Praprotnik 728 1.2× 461 1.1× 139 0.3× 173 0.8× 125 0.6× 55 1.4k
Giovanni Pomponio 323 0.5× 346 0.8× 358 0.9× 188 0.9× 44 0.2× 50 1.3k
Sofia Ajeganova 978 1.6× 348 0.8× 150 0.4× 83 0.4× 199 0.9× 49 1.3k
Ling Yin Ho 1.1k 1.7× 616 1.4× 249 0.6× 54 0.2× 176 0.8× 51 1.5k

Countries citing papers authored by Molla Huq

Since Specialization
Citations

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

Fields of papers citing papers by Molla Huq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Molla Huq

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