Sina Jasim

91 total papers · 2.0k total citations
52 papers, 1.2k citations indexed

About

Sina Jasim is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Sina Jasim has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Endocrinology, Diabetes and Metabolism, 19 papers in Surgery and 8 papers in Genetics. Recurrent topics in Sina Jasim's work include Thyroid Cancer Diagnosis and Treatment (20 papers), Adrenal and Paraganglionic Tumors (8 papers) and Pituitary Gland Disorders and Treatments (8 papers). Sina Jasim is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (20 papers), Adrenal and Paraganglionic Tumors (8 papers) and Pituitary Gland Disorders and Treatments (8 papers). Sina Jasim collaborates with scholars based in United States, Brazil and Iran. Sina Jasim's co-authors include Mouhammed Amir Habra, Camilo Jiménez, Kevin C.J. Yuen, M. Hassan Murad, Kevin M. Pantalone, Sally Radovick, John D. Carmichael, Andrew R. Hoffman, Beverly M. K. Biller and Shrikant Tamhane and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.

In The Last Decade

Sina Jasim

44 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Sina Jasim 813 558 292 121 111 52 1.2k
Claire Briet 632 0.8× 327 0.6× 212 0.7× 121 1.0× 270 2.4× 53 1.2k
G Finkenstedt 524 0.6× 454 0.8× 126 0.4× 62 0.5× 92 0.8× 29 958
Paraskevi Xekouki 770 0.9× 614 1.1× 355 1.2× 74 0.6× 395 3.6× 61 1.4k
R. Gasser 453 0.6× 477 0.9× 151 0.5× 49 0.4× 158 1.4× 57 1.2k
Peter Vorwerk 430 0.5× 356 0.6× 257 0.9× 147 1.2× 405 3.6× 53 1.3k
Anita K. Ying 811 1.0× 437 0.8× 159 0.5× 39 0.3× 206 1.9× 35 1.2k
Emília M. Pinto 351 0.4× 487 0.9× 409 1.4× 233 1.9× 375 3.4× 50 1.1k
Adriana G. Ioachimescu 859 1.1× 572 1.0× 158 0.5× 135 1.1× 188 1.7× 77 1.4k
Yoon Young Cho 659 0.8× 372 0.7× 142 0.5× 36 0.3× 205 1.8× 74 1.1k
Leslie R. Sheeler 662 0.8× 452 0.8× 106 0.4× 81 0.7× 53 0.5× 35 983

Countries citing papers authored by Sina Jasim

Since Specialization
Citations

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

Fields of papers citing papers by Sina Jasim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Jasim

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