Sonja Trautmann

1.2k total citations
2 papers, 12 citations indexed

About

Sonja Trautmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Sonja Trautmann has authored 2 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 0 papers in Infectious Diseases. Recurrent topics in Sonja Trautmann's work include Muscle Physiology and Disorders (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Mitochondrial Function and Pathology (1 paper). Sonja Trautmann is often cited by papers focused on Muscle Physiology and Disorders (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Mitochondrial Function and Pathology (1 paper). Sonja Trautmann collaborates with scholars based in Switzerland, Germany and South Korea. Sonja Trautmann's co-authors include Jian Chen, Daniela Glätzle‐Rützler, Megan E. Sutter, Michael Flower, Huma Sethi, Salman Haider, Jong‐Min Lee, Sarah J. Tabrizi, Michael Orth and Jennifer Parker and has published in prestigious journals such as Genome biology and Data Archiving and Networked Services (DANS).

In The Last Decade

Sonja Trautmann

2 papers receiving 12 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sonja Trautmann Switzerland	2	6	6	2	1	1	2	12
Cláudia Ferreira Portugal	2	7 1.2×	4 0.7×				2	12
Takeshi Ikeuchi Japan	3	9 1.5×	6 1.0×	1 0.5×	1 1.0×		7	14
Zhouyang Kang United States	2	4 0.7×	5 0.8×				2	8
Jun-Feng Cheng China	2	4 0.7×	9 1.5×				3	15
Caitlin Marino United States	2	4 0.7×	4 0.7×				2	13
Isabelle J. Chau United States	1	5 0.8×	7 1.2×		2 2.0×		2	16
Kimberley M. Reid United Kingdom	3	5 0.8×	5 0.8×		2 2.0×		6	13
Gautam Chaudhry United States	1	10 1.7×	9 1.5×		1 1.0×		2	20
Xiaoming Yao China	3	7 1.2×	3 0.5×				5	14

Countries citing papers authored by Sonja Trautmann

Since Specialization

Citations

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

Fields of papers citing papers by Sonja Trautmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Trautmann

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Trautmann. A scholar is included among the top collaborators of Sonja Trautmann 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 Sonja Trautmann. Sonja Trautmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Neueder, Andreas, Kerstin Kojer, Daniel J. Lavery, et al.. (2022). Abnormal molecular signatures of inflammation, energy metabolism, and vesicle biology in human Huntington disease peripheral tissues. Genome biology. 23(1). 189–189. 10 indexed citations

2.

Glätzle‐Rützler, Daniela, et al.. (2012). Cognitive skills, self-control, and life outcomes : The early detection of at-risk youth. Data Archiving and Networked Services (DANS). 2 indexed citations

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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