Katharina Lackner

32 total papers · 512 total citations
11 papers, 356 citations indexed

About

Katharina Lackner is a scholar working on Molecular Biology, Biochemistry and Physiology. According to data from OpenAlex, Katharina Lackner has authored 11 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Biochemistry and 2 papers in Physiology. Recurrent topics in Katharina Lackner's work include Metabolomics and Mass Spectrometry Studies (8 papers), Lipid metabolism and biosynthesis (5 papers) and Mitochondrial Function and Pathology (4 papers). Katharina Lackner is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Lipid metabolism and biosynthesis (5 papers) and Mitochondrial Function and Pathology (4 papers). Katharina Lackner collaborates with scholars based in Austria, Germany and Switzerland. Katharina Lackner's co-authors include Markus A. Keller, Katrin Watschinger, Ernst R. Werner, S. Sailer, Johannes Zschocke, Jakob Koch, Gregor Oemer, Herbert Lindner, Yvonne Wohlfarter and Gabriele Werner‐Felmayer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Katharina Lackner

11 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Katharina Lackner	291	61	57	56	32	11	356
Mary A. Cottone	243 0.8×	30 0.5×	68 1.2×	69 1.2×	14 0.4×	9	368
Linda L. Fielding	212 0.7×	100 1.6×	57 1.0×	29 0.5×	9 0.3×	8	362
Yohsuke Ohba	343 1.2×	60 1.0×	80 1.4×	45 0.8×	10 0.3×	9	398
Luc Choinière	244 0.8×	29 0.5×	46 0.8×	51 0.9×	25 0.8×	11	400
Leslie Sisfontes	178 0.6×	67 1.1×	54 0.9×	43 0.8×	30 0.9×	12	341
Mattia D. Pizzagalli	241 0.8×	47 0.8×	15 0.3×	23 0.4×	26 0.8×	6	381
Alessandro E. Caccamo	189 0.6×	49 0.8×	36 0.6×	59 1.1×	10 0.3×	9	395
Stéphanie Vougier	248 0.9×	44 0.7×	36 0.6×	26 0.5×	12 0.4×	7	311
Debra Q Y Quek	229 0.8×	43 0.7×	23 0.4×	41 0.7×	8 0.3×	10	403
Gary S. Gerstenecker	206 0.7×	21 0.3×	50 0.9×	28 0.5×	50 1.6×	11	375

Countries citing papers authored by Katharina Lackner

Since Specialization

Citations

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

Fields of papers citing papers by Katharina Lackner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharina Lackner

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