Werner Roemisch‐Margl

10 total papers · 1.9k total citations
2 papers, 385 citations indexed

About

Werner Roemisch‐Margl is a scholar working on Molecular Biology, Pharmacology and Infectious Diseases. According to data from OpenAlex, Werner Roemisch‐Margl has authored 2 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Pharmacology and 0 papers in Infectious Diseases. Recurrent topics in Werner Roemisch‐Margl's work include Bioinformatics and Genomic Networks (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). Werner Roemisch‐Margl is often cited by papers focused on Bioinformatics and Genomic Networks (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). Werner Roemisch‐Margl collaborates with scholars based in Qatar, Germany and China. Werner Roemisch‐Margl's co-authors include Thomas Illig, Zhonghao Yu, Cornelia Prehn, Karsten Suhre, Annette Peters, Fabian J. Theis, Rui Wang‐Sattler, Jerzy Adamski, Christian Gieger and Stephan Weidinger and has published in prestigious journals such as PLoS Genetics and BMC Medicine.

In The Last Decade

Werner Roemisch‐Margl

2 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Werner Roemisch‐Margl	251	141	56	53	53	2	385
Ann-Kristin Petersen	246 1.0×	86 0.6×	75 1.3×	39 0.7×	29 0.5×	7	357
Maria Soledad Pizarro-Sánchez	175 0.7×	102 0.7×	29 0.5×	58 1.1×	20 0.4×	7	444
Judith Cebrià	179 0.7×	99 0.7×	49 0.9×	27 0.5×	32 0.6×	6	350
Arthur Bassot	239 1.0×	139 1.0×	26 0.5×	90 1.7×	30 0.6×	9	420
Wadha Al Muftah	271 1.1×	81 0.6×	78 1.4×	39 0.7×	19 0.4×	8	360
Gabi Kastenmueller	245 1.0×	210 1.5×	14 0.3×	23 0.4×	23 0.4×	2	379
S. E. McCormack	224 0.9×	233 1.7×	26 0.5×	57 1.1×	65 1.2×	6	406
Rachel Sayer	143 0.6×	68 0.5×	18 0.3×	21 0.4×	45 0.8×	5	446
Ulrike Harder	164 0.7×	140 1.0×	18 0.3×	44 0.8×	57 1.1×	7	371
Claire Teague	314 1.3×	100 0.7×	41 0.7×	27 0.5×	41 0.8×	6	424

Countries citing papers authored by Werner Roemisch‐Margl

Since Specialization

Citations

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

Fields of papers citing papers by Werner Roemisch‐Margl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Werner Roemisch‐Margl. 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 Werner Roemisch‐Margl. The network helps show where Werner Roemisch‐Margl may publish in the future.

Co-authorship network of co-authors of Werner Roemisch‐Margl

This figure shows the co-authorship network connecting the top 25 collaborators of Werner Roemisch‐Margl. A scholar is included among the top collaborators of Werner Roemisch‐Margl 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 Werner Roemisch‐Margl. Werner Roemisch‐Margl 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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