Tina Dorn

57 total papers · 501 total citations
39 papers, 329 citations indexed

About

Tina Dorn is a scholar working on Clinical Psychology, Emergency Medicine and Sociology and Political Science. According to data from OpenAlex, Tina Dorn has authored 39 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Clinical Psychology, 11 papers in Emergency Medicine and 9 papers in Sociology and Political Science. Recurrent topics in Tina Dorn's work include Autopsy Techniques and Outcomes (9 papers), Migration, Health and Trauma (7 papers) and Disaster Response and Management (6 papers). Tina Dorn is often cited by papers focused on Autopsy Techniques and Outcomes (9 papers), Migration, Health and Trauma (7 papers) and Disaster Response and Management (6 papers). Tina Dorn collaborates with scholars based in Netherlands, United States and Germany. Tina Dorn's co-authors include Manon Ceelen, Marcel Buster, Jouke van der Zee, Peter Spreeuwenberg, Joris Yzermans, Udo Reijnders, Irina Stirbu, Gé Donker, Jan J. Kerssens and Thijs Fassaert and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and Journal of Clinical Epidemiology.

In The Last Decade

Tina Dorn

33 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
Tina Dorn 155 81 76 62 43 39 329
Teresa J. Sakraida 115 0.7× 69 0.9× 83 1.1× 29 0.5× 15 0.3× 23 296
Annah K. Bender 110 0.7× 119 1.5× 82 1.1× 47 0.8× 10 0.2× 31 335
Brooke Dorsey Holliman 166 1.1× 43 0.5× 74 1.0× 16 0.3× 18 0.4× 38 286
Regan Murray 134 0.9× 93 1.1× 96 1.3× 19 0.3× 44 1.0× 22 336
Rose McMaster 164 1.1× 89 1.1× 111 1.5× 42 0.7× 11 0.3× 25 356
Linna Tam‐Seto 183 1.2× 69 0.9× 106 1.4× 29 0.5× 8 0.2× 39 338
Kate O’Reilly 77 0.5× 58 0.7× 88 1.2× 19 0.3× 25 0.6× 26 301
Melissa Willoughby 120 0.8× 101 1.2× 148 1.9× 19 0.3× 28 0.7× 27 319
Ghada Abu Shosha 92 0.6× 60 0.7× 93 1.2× 44 0.7× 7 0.2× 28 335
Shahzad Inayat 98 0.6× 66 0.8× 162 2.1× 21 0.3× 10 0.2× 28 348

Countries citing papers authored by Tina Dorn

Since Specialization
Citations

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

Fields of papers citing papers by Tina Dorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Dorn

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