Laura Sieber

4.9k total citations
2 papers, 4 citations indexed

About

Laura Sieber is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Laura Sieber has authored 2 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 0 papers in Infectious Diseases. Recurrent topics in Laura Sieber's work include Genomics and Chromatin Dynamics (1 paper), Chromatin Remodeling and Cancer (1 paper) and RNA Research and Splicing (1 paper). Laura Sieber is often cited by papers focused on Genomics and Chromatin Dynamics (1 paper), Chromatin Remodeling and Cancer (1 paper) and RNA Research and Splicing (1 paper). Laura Sieber collaborates with scholars based in Germany, Netherlands and United States. Laura Sieber's co-authors include Jesús García-López, Shiekh Tanveer Ahmad, Mari Sepp, Annarita Patrizi, Sonja Krausert, Norman Mack, Yiran Li, Sebastian Brabetz, Ina Oehme and Marc Zuckermann and has published in prestigious journals such as Neurobiology of Disease and Neuro-Oncology Advances.

In The Last Decade

Laura Sieber

1 paper receiving 4 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Sieber Germany	1	3	1	1	1	1	2	4
Shane Fernandez Australia	2	3 1.0×				1 1.0×	5	6
Mehran Monchi France	2	3 1.0×		1 1.0×			4	5
Kamini Prajapati India	1	3 1.0×					4	5
Salma Magdy Egypt	3	3 1.0×		1 1.0×			4	8
Zafer Sattouf United States	2	3 1.0×					4	8
Xinmiao Yan United States	2	3 1.0×		1 1.0×			3	4
W. R. Cen China	2	3 1.0×	1 1.0×	1 1.0×		1 1.0×	3	5
Sahar Esmaeeli United States	2	3 1.0×					2	4
Woody Ahern United States	2	3 1.0×					3	6
Ivanna Pidruchna United Kingdom	2	3 1.0×	1 1.0×				2	5

Countries citing papers authored by Laura Sieber

Since Specialization

Citations

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

Fields of papers citing papers by Laura Sieber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Sieber

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

Sieber, Laura, Jesús García-López, Shiekh Tanveer Ahmad, et al.. (2024). Loss of Elp1 in cerebellar granule cell progenitors models ataxia phenotype of Familial Dysautonomia. Neurobiology of Disease. 199. 106600–106600.

2.

Krausert, Sonja, Sebastian Brabetz, Norman Mack, et al.. (2022). Predictive modeling of resistance to SMO inhibition in a patient-derived orthotopic xenograft model of SHH medulloblastoma. Neuro-Oncology Advances. 4(1). 4 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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