Hanan Tork

36 total papers · 569 total citations
28 papers, 372 citations indexed

About

Hanan Tork is a scholar working on Clinical Psychology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hanan Tork has authored 28 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Clinical Psychology, 8 papers in Pediatrics, Perinatology and Child Health and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hanan Tork's work include Infant Development and Preterm Care (5 papers), Family and Patient Care in Intensive Care Units (4 papers) and COVID-19 and Mental Health (3 papers). Hanan Tork is often cited by papers focused on Infant Development and Preterm Care (5 papers), Family and Patient Care in Intensive Care Units (4 papers) and COVID-19 and Mental Health (3 papers). Hanan Tork collaborates with scholars based in Saudi Arabia, Egypt and Austria. Hanan Tork's co-authors include Nahed Alquwez, Fatmah Alsolami, Jonas Preposi Cruz, Hawa Alabdulaziz, Regie B. Tumala, Joseph U. Almazan, Ejercito Mangawa Balay‐odao, Abdalkarem F. Alsharari, Eman Shahin and Theo Dassen and has published in prestigious journals such as Journal of Advanced Nursing, Journal of Clinical Nursing and Nurse Education Today.

In The Last Decade

Hanan Tork

26 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Hanan Tork 111 75 70 64 59 28 372
Hawa Alabdulaziz 138 1.2× 60 0.8× 68 1.0× 75 1.2× 55 0.9× 17 340
Christina Derksen 87 0.8× 42 0.6× 23 0.3× 116 1.8× 31 0.5× 37 340
Maria Torroella Carney 130 1.2× 69 0.9× 32 0.5× 159 2.5× 94 1.6× 36 443
Patrick A. Palmieri 43 0.4× 108 1.4× 66 0.9× 118 1.8× 13 0.2× 37 402
Maha Subih 135 1.2× 62 0.8× 30 0.4× 138 2.2× 14 0.2× 33 409
Anne Lyren 81 0.7× 96 1.3× 15 0.2× 91 1.4× 24 0.4× 20 384
Nahla Al Ali 121 1.1× 38 0.5× 13 0.2× 124 1.9× 38 0.6× 35 406
Jim Ross 67 0.6× 34 0.5× 63 0.9× 230 3.6× 23 0.4× 26 425
Deepika C Khakha 185 1.7× 36 0.5× 45 0.6× 166 2.6× 30 0.5× 27 435
Stephen Kermode 72 0.6× 37 0.5× 63 0.9× 153 2.4× 20 0.3× 25 437

Countries citing papers authored by Hanan Tork

Since Specialization
Citations

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

Fields of papers citing papers by Hanan Tork

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanan Tork

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