Lutz Grohmann

86 total papers · 2.7k total citations
65 papers, 2.1k citations indexed

About

Lutz Grohmann is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Lutz Grohmann has authored 65 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 34 papers in Plant Science and 7 papers in Genetics. Recurrent topics in Lutz Grohmann's work include Genetically Modified Organisms Research (27 papers), CRISPR and Genetic Engineering (23 papers) and Mitochondrial Function and Pathology (16 papers). Lutz Grohmann is often cited by papers focused on Genetically Modified Organisms Research (27 papers), CRISPR and Genetic Engineering (23 papers) and Mitochondrial Function and Pathology (16 papers). Lutz Grohmann collaborates with scholars based in Germany, Italy and Japan. Lutz Grohmann's co-authors include Axel Brennicke, Hanns‐Rüdiger Graack, Madoka Kitakawa, Dany Morisset, Ingrid Huber, Gilbert Berben, Sylvia Broeders, Nancy H. C. Roosens, Isabel Taverniers and Hans‐Ulrich Waiblinger and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Lutz Grohmann

64 papers receiving 2.0k citations

Hit Papers

Guidelines for validation... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Lutz Grohmann 1.7k 856 217 140 112 65 2.1k
Oliver Rupp 1.2k 0.7× 965 1.1× 283 1.3× 107 0.8× 110 1.0× 64 2.2k
Lalit Ponnala 2.0k 1.2× 1.4k 1.6× 236 1.1× 120 0.9× 66 0.6× 38 2.9k
Zhenguo Lin 1.5k 0.9× 1.1k 1.3× 213 1.0× 111 0.8× 55 0.5× 63 2.4k
Jaume Palau 1.1k 0.6× 547 0.6× 187 0.9× 101 0.7× 74 0.7× 62 1.6k
Mei‐Yeh Jade Lu 1.2k 0.7× 734 0.9× 361 1.7× 82 0.6× 113 1.0× 60 1.9k
Horst Domdey 1.8k 1.0× 840 1.0× 145 0.7× 71 0.5× 90 0.8× 42 2.5k
Gilbert Berben 1.5k 0.9× 510 0.6× 315 1.5× 276 2.0× 170 1.5× 61 2.0k
Frédéric Beaudoin 1.6k 0.9× 1.5k 1.7× 92 0.4× 155 1.1× 167 1.5× 54 2.8k
Alejandro Ferrando 1.4k 0.8× 1.5k 1.7× 211 1.0× 58 0.4× 43 0.4× 48 2.1k
Markus Künzler 2.0k 1.2× 772 0.9× 122 0.6× 85 0.6× 144 1.3× 91 2.9k

Countries citing papers authored by Lutz Grohmann

Since Specialization
Citations

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

Fields of papers citing papers by Lutz Grohmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lutz Grohmann

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