Nina Luhmann

20 total papers · 1.4k total citations
8 papers, 791 citations indexed

About

Nina Luhmann is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Nina Luhmann has authored 8 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Nina Luhmann's work include Genomics and Phylogenetic Studies (7 papers), Genome Rearrangement Algorithms (4 papers) and Chromosomal and Genetic Variations (3 papers). Nina Luhmann is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Genome Rearrangement Algorithms (4 papers) and Chromosomal and Genetic Variations (3 papers). Nina Luhmann collaborates with scholars based in Canada, Germany and United Kingdom. Nina Luhmann's co-authors include Mark Achtman, Alexandre P. Francisco, Zhemin Zhou, Martin J. Sergeant, Cátia Vaz, João André Carriço, Nabil-Fareed Alikhan, Lucy van Dorp, Hui Wang and François Balloux and has published in prestigious journals such as Nature Communications, Genome Research and Genome biology.

In The Last Decade

Nina Luhmann

7 papers receiving 782 citations

Hit Papers

GrapeTree: visualization ... 2018 2026 2020 2023 2018 2022 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Nina Luhmann 292 250 238 212 167 8 791
Aaron Petkau 179 0.6× 293 1.2× 245 1.0× 231 1.1× 198 1.2× 10 819
Sara M. McCowen 216 0.7× 300 1.2× 322 1.4× 214 1.0× 129 0.8× 9 887
Dhany Saputra 213 0.7× 297 1.2× 150 0.6× 143 0.7× 133 0.8× 9 712
Sergio Arredondo-Alonso 397 1.4× 385 1.5× 166 0.7× 212 1.0× 225 1.3× 20 895
Mamuka Kotetishvili 180 0.6× 186 0.7× 238 1.0× 245 1.2× 186 1.1× 16 739
D Billot-Klein 414 1.4× 326 1.3× 168 0.7× 133 0.6× 335 2.0× 18 866
Supathep Tansirichaiya 348 1.2× 225 0.9× 139 0.6× 159 0.8× 99 0.6× 17 621
Sara Dion 295 1.0× 273 1.1× 137 0.6× 345 1.6× 143 0.9× 24 747
Cátia Marques 277 0.9× 190 0.8× 138 0.6× 128 0.6× 268 1.6× 25 837
Claudine Kabera 349 1.2× 157 0.6× 348 1.5× 134 0.6× 147 0.9× 12 670

Countries citing papers authored by Nina Luhmann

Since Specialization
Citations

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

Fields of papers citing papers by Nina Luhmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Luhmann

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