Hani Tamim

60 total papers · 631 total citations
40 papers, 453 citations indexed

About

Hani Tamim is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Hani Tamim has authored 40 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 11 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Surgery. Recurrent topics in Hani Tamim's work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Ovarian function and disorders (4 papers) and Lipoproteins and Cardiovascular Health (3 papers). Hani Tamim is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Ovarian function and disorders (4 papers) and Lipoproteins and Cardiovascular Health (3 papers). Hani Tamim collaborates with scholars based in Saudi Arabia, Lebanon and United States. Hani Tamim's co-authors include Joël Belmin, Jacques Boddaert, Marc Verny, Waleed Tamimi, Mona Nasrallah, Nathalie K. Zgheib, Hussain Isma’eel, Lara Nasreddine, Nancy Nakhoul and F.T. Sleiman and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American Geriatrics Society.

In The Last Decade

Hani Tamim

36 papers receiving 432 citations

Author Peers

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

Author Last Decade Papers Cites
Hani Tamim 102 80 74 61 60 40 453
Ümit Aydoğan 69 0.7× 37 0.5× 52 0.7× 35 0.6× 63 1.1× 60 524
Roelof A. J. Smit 43 0.4× 79 1.0× 91 1.2× 116 1.9× 81 1.4× 40 507
Ayako Nishimura 84 0.8× 37 0.5× 87 1.2× 45 0.7× 42 0.7× 45 418
Ali Pasha Meysamie 40 0.4× 36 0.5× 66 0.9× 95 1.6× 43 0.7× 26 535
Jing Hu 107 1.0× 40 0.5× 26 0.4× 17 0.3× 38 0.6× 34 406
Selvihan Beysel 58 0.6× 59 0.7× 62 0.8× 90 1.5× 41 0.7× 38 487
Stephen R. Newmark 62 0.6× 93 1.2× 38 0.5× 61 1.0× 32 0.5× 31 475
Shan Jiang 58 0.6× 40 0.5× 40 0.5× 49 0.8× 66 1.1× 39 462
Sudhaa Sharma 77 0.8× 56 0.7× 56 0.8× 43 0.7× 33 0.6× 32 504
Mustafa Öztürk 57 0.6× 71 0.9× 69 0.9× 61 1.0× 78 1.3× 32 537

Countries citing papers authored by Hani Tamim

Since Specialization
Citations

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

Fields of papers citing papers by Hani Tamim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hani Tamim

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