Martin Kucklick

21 total papers · 550 total citations
13 papers, 389 citations indexed

About

Martin Kucklick is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Martin Kucklick has authored 13 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Martin Kucklick's work include Genomics and Phylogenetic Studies (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Martin Kucklick is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Martin Kucklick collaborates with scholars based in Germany, United States and Switzerland. Martin Kucklick's co-authors include Susanne Engelmann, Karsten Hiller, Max Schobert, Dieter Jahn, Boyke Bunk, Richard Münch, Christian Boedeker, Olga Jeske, Rudolf Amann and Manfred Rohde and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Martin Kucklick

12 papers receiving 385 citations

Author Peers

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

Author						Papers	Cites
Martin Kucklick	307	131	45	38	30	13	389
San‐San Tsay	234 0.8×	83 0.6×	39 0.9×	19 0.5×	32 1.1×	13	354
M. Reh	217 0.7×	70 0.5×	38 0.8×	17 0.4×	54 1.8×	14	359
Lucas Hermann	247 0.8×	97 0.7×	32 0.7×	30 0.8×	19 0.6×	7	348
Alexander S. Reshetnikov	289 0.9×	67 0.5×	35 0.8×	23 0.6×	31 1.0×	15	358
Marina Torreblanca	309 1.0×	225 1.7×	25 0.6×	26 0.7×	20 0.7×	10	439
Paulina Corral	241 0.8×	184 1.4×	17 0.4×	40 1.1×	16 0.5×	17	349
Daniel R. Reuß	354 1.2×	133 1.0×	210 4.7×	23 0.6×	13 0.4×	12	430
Ingeborg Graeber	195 0.6×	79 0.6×	58 1.3×	38 1.0×	22 0.7×	13	396
Tal Luzzatto‐Knaan	187 0.6×	69 0.5×	13 0.3×	62 1.6×	17 0.6×	20	437
Hermann Rath	257 0.8×	89 0.7×	133 3.0×	18 0.5×	12 0.4×	12	355

Countries citing papers authored by Martin Kucklick

Since Specialization

Citations

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

Fields of papers citing papers by Martin Kucklick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kucklick

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