Nina Mars

137 total papers · 11.6k total citations
37 papers, 887 citations indexed

About

Nina Mars is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Rheumatology. According to data from OpenAlex, Nina Mars has authored 37 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Rheumatology. Recurrent topics in Nina Mars's work include Genetic Associations and Epidemiology (13 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). Nina Mars is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). Nina Mars collaborates with scholars based in Finland, United States and United Kingdom. Nina Mars's co-authors include Samuli Ripatti, Aarno Palotie, Joni V. Lindbohm, Veikko Salomaa, Aki S. Havulinna, Tuomo Kiiskinen, Pietari Ripatti, Jukka Koskela, Juha Karjalainen and Benjamin M. Neale and has published in prestigious journals such as Science, Nature Medicine and Nature Communications.

In The Last Decade

Nina Mars

37 papers receiving 879 citations

Hit Papers

Polygenic and clinical ri... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Nina Mars 390 171 145 104 103 37 887
Alice R Carter 422 1.1× 127 0.7× 200 1.4× 187 1.8× 117 1.1× 23 971
Ville Karhunen 261 0.7× 109 0.6× 236 1.6× 95 0.9× 102 1.0× 45 908
Eric A. W. Slob 393 1.0× 96 0.6× 193 1.3× 120 1.2× 82 0.8× 21 837
Laura M. Raffield 205 0.5× 162 0.9× 266 1.8× 119 1.1× 147 1.4× 78 1.0k
Maiken E. Gabrielsen 510 1.3× 89 0.5× 293 2.0× 131 1.3× 121 1.2× 24 1.0k
Sanni Ruotsalainen 178 0.5× 129 0.8× 143 1.0× 118 1.1× 121 1.2× 25 740
Ganesh Chauhan 271 0.7× 75 0.4× 236 1.6× 182 1.8× 86 0.8× 27 762
Benoît Tyl 145 0.4× 255 1.5× 180 1.2× 61 0.6× 81 0.8× 27 783
Akl C. Fahed 362 0.9× 177 1.0× 171 1.2× 108 1.0× 42 0.4× 43 902
Xingyu Wang 189 0.5× 194 1.1× 172 1.2× 80 0.8× 81 0.8× 45 732

Countries citing papers authored by Nina Mars

Since Specialization
Citations

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

Fields of papers citing papers by Nina Mars

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Mars

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