Susann Lehmann

43 total papers · 1.1k total citations
29 papers, 725 citations indexed

About

Susann Lehmann is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Susann Lehmann has authored 29 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Susann Lehmann's work include Pancreatic function and diabetes (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Autophagy in Disease and Therapy (6 papers). Susann Lehmann is often cited by papers focused on Pancreatic function and diabetes (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Autophagy in Disease and Therapy (6 papers). Susann Lehmann collaborates with scholars based in United Kingdom, Germany and United States. Susann Lehmann's co-authors include L. Miguel Martins, Samantha H. Y. Loh, Ivana Celardo, Ana Carolina Oliveira Costa, Giovanna R. Mallucci, Barbara Ludwig, Nathaniel J. Szewczyk, Michael Gelinsky, Chris Jones and Nicholas Wood and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nature Cell Biology.

In The Last Decade

Susann Lehmann

28 papers receiving 723 citations

Author Peers

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

Author						Papers	Cites
Susann Lehmann	357	159	150	144	130	29	725
Liuwang Zeng	447 1.3×	94 0.6×	124 0.8×	168 1.2×	129 1.0×	27	800
Xueping Li	287 0.8×	226 1.4×	56 0.4×	74 0.5×	134 1.0×	34	854
Naohiro Egawa	348 1.0×	173 1.1×	115 0.8×	132 0.9×	77 0.6×	35	813
Huibin Tang	539 1.5×	54 0.3×	71 0.5×	97 0.7×	100 0.8×	23	807
Andrea Loreto	371 1.0×	113 0.7×	114 0.8×	108 0.8×	106 0.8×	35	876
Massimo Ganassi	694 1.9×	105 0.7×	66 0.4×	168 1.2×	107 0.8×	19	842
Piotr Zabrocki	444 1.2×	254 1.6×	67 0.4×	116 0.8×	155 1.2×	17	711
Tammy Ryan	391 1.1×	149 0.9×	85 0.6×	63 0.4×	152 1.2×	33	850
Jens O. Watzlawik	321 0.9×	228 1.4×	135 0.9×	70 0.5×	169 1.3×	36	826
Komudi Singh	366 1.0×	69 0.4×	99 0.7×	80 0.6×	101 0.8×	31	773

Countries citing papers authored by Susann Lehmann

Since Specialization

Citations

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

Fields of papers citing papers by Susann Lehmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susann Lehmann

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