C. Garbers

5.5k total citations
2 papers, 5 citations indexed

About

C. Garbers is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, C. Garbers has authored 2 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Neurology. Recurrent topics in C. Garbers's work include Bone Metabolism and Diseases (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and COVID-19 Clinical Research Studies (1 paper). C. Garbers is often cited by papers focused on Bone Metabolism and Diseases (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and COVID-19 Clinical Research Studies (1 paper). C. Garbers collaborates with scholars based in Germany. C. Garbers's co-authors include Yvonne Garbers, Manuel M. Vicente, Juliane Lokau, Christoph H. Lohmann, Monika C. Brunner‐Weinzierl, Holger Lingel, Eugen Feist, Jessica Bertrand, Miriam Bollmann and Anna Dittrich and has published in prestigious journals such as Frontiers in Immunology and Cytokine.

In The Last Decade

C. Garbers

2 papers receiving 5 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Garbers Germany	2	2	2	1	1	1	2	5
А А Прохоров South Africa	2	2 1.0×	2 1.0×				2	3
Sanne de Haan Netherlands	1	2 1.0×	3 1.5×	1 1.0×			4	3
M.L. Vilardell Gil Spain	2	3 1.5×	2 1.0×	1 1.0×			2	4
Aquino Williams United States	2	2 1.0×	2 1.0×			1 1.0×	5	6
X. Gou China	1	2 1.0×		1 1.0×			4	3
Ellie Duckworth United States	2	2 1.0×					7	5
Z. Yan Belgium	2	2 1.0×	1 0.5×	1 1.0×			3	5
Charlotta Rylander Norway	1	2 1.0×					2	2
Mohammad Abu Hilal Italy	2	2 1.0×					2	3
Maria Marcela Monteiro Brazil	1	2 1.0×					2	2

Countries citing papers authored by C. Garbers

Since Specialization

Citations

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

Fields of papers citing papers by C. Garbers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Garbers

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

Lokau, Juliane, Yvonne Garbers, Manuel M. Vicente, et al.. (2025). Long-term increase in soluble interleukin-6 receptor levels in convalescents after mild COVID-19 infection. Frontiers in Immunology. 15. 1488745–1488745. 4 indexed citations

2.

Bollmann, Miriam, Yvonne Garbers, Eugen Feist, et al.. (2025). Transforming growth factor beta induces interleukin-11 expression in osteoarthritis. Cytokine. 187. 156863–156863. 1 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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