Nina Rottmann

81 total papers · 1.6k total citations
41 papers, 1.2k citations indexed

About

Nina Rottmann is a scholar working on Oncology, Sociology and Political Science and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Nina Rottmann has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 12 papers in Sociology and Political Science and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Nina Rottmann's work include Cancer survivorship and care (16 papers), Family Support in Illness (12 papers) and Childhood Cancer Survivors' Quality of Life (11 papers). Nina Rottmann is often cited by papers focused on Cancer survivorship and care (16 papers), Family Support in Illness (12 papers) and Childhood Cancer Survivors' Quality of Life (11 papers). Nina Rottmann collaborates with scholars based in Denmark, Netherlands and United States. Nina Rottmann's co-authors include Christoffer Johansen, Susanne Oksbjerg Dalton, Dorte Gilså Hansen, Jane Christensen, Pia Veldt Larsen, Anne Nicolaisen, Mariët Hagedoorn, Pernille Envold Bidstrup, Kirsten Frederiksen and Henrik Flyger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Health Psychology and European Journal of Cancer.

In The Last Decade

Nina Rottmann

39 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Nina Rottmann 661 377 281 211 208 41 1.2k
Christine Gorman 409 0.6× 256 0.7× 275 1.0× 134 0.6× 148 0.7× 68 1.0k
Brenda Grabsch 621 0.9× 293 0.8× 301 1.1× 278 1.3× 220 1.1× 29 1.2k
Tim J. Hartung 758 1.1× 242 0.6× 347 1.2× 307 1.5× 179 0.9× 32 1.3k
Maria Antonietta Annunziata 701 1.1× 242 0.6× 380 1.4× 316 1.5× 274 1.3× 68 1.4k
Robert Tunmore 468 0.7× 256 0.7× 327 1.2× 152 0.7× 198 1.0× 12 972
Kelly M. Shaffer 488 0.7× 484 1.3× 240 0.9× 395 1.9× 218 1.0× 64 1.3k
Cindy L. Carmack Taylor 792 1.2× 488 1.3× 328 1.2× 261 1.2× 235 1.1× 25 1.4k
Donna M. Posluszny 298 0.5× 225 0.6× 156 0.6× 220 1.0× 193 0.9× 34 1.4k
Elisabeth Kenne Sarenmalm 426 0.6× 150 0.4× 205 0.7× 218 1.0× 289 1.4× 39 1.0k
Sofia Zyga 340 0.5× 243 0.6× 165 0.6× 128 0.6× 306 1.5× 76 1.3k

Countries citing papers authored by Nina Rottmann

Since Specialization
Citations

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

Fields of papers citing papers by Nina Rottmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Rottmann

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