Sabine Fessele

644 total citations
10 papers, 365 citations indexed

About

Sabine Fessele is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Sabine Fessele has authored 10 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Genetics. Recurrent topics in Sabine Fessele's work include Immune Cell Function and Interaction (2 papers), RNA and protein synthesis mechanisms (2 papers) and Genomics and Chromatin Dynamics (2 papers). Sabine Fessele is often cited by papers focused on Immune Cell Function and Interaction (2 papers), RNA and protein synthesis mechanisms (2 papers) and Genomics and Chromatin Dynamics (2 papers). Sabine Fessele collaborates with scholars based in Germany, United States and Italy. Sabine Fessele's co-authors include Peter J. Nelson, Thomas Werner, Holger Maier, Neil G. Miyamoto, Edward L. Nelson, Guntram A. Graßl, Ingo B. Autenrieth, Sonja Preger, Ralf Schulte and Martin Schaller and has published in prestigious journals such as The FASEB Journal, Trends in Genetics and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Sabine Fessele

10 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sabine Fessele Germany	8	201	109	79	47	44	10	365
Inga Preuß Germany	9	191 1.0×	118 1.1×	44 0.6×	16 0.3×	57 1.3×	9	441
J. Guyden United States	13	151 0.8×	217 2.0×	104 1.3×	16 0.3×	36 0.8×	25	457
Naomi Takasuka Japan	10	200 1.0×	288 2.6×	45 0.6×	60 1.3×	65 1.5×	11	609
Berta Pozzi Argentina	9	368 1.8×	63 0.6×	22 0.3×	74 1.6×	41 0.9×	13	559
Chad Myskiw Canada	7	181 0.9×	102 0.9×	49 0.6×	95 2.0×	55 1.3×	7	405
U. Rahmsdorf Germany	8	437 2.2×	86 0.8×	246 3.1×	54 1.1×	74 1.7×	10	607
Marisa J. Wainszelbaum United States	12	238 1.2×	55 0.5×	66 0.8×	32 0.7×	46 1.0×	18	405
Guillermo Risso Argentina	11	454 2.3×	58 0.5×	22 0.3×	93 2.0×	52 1.2×	12	647
Irantzu Tato Spain	8	338 1.7×	58 0.5×	125 1.6×	59 1.3×	31 0.7×	8	514

Countries citing papers authored by Sabine Fessele

Since Specialization

Citations

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

Fields of papers citing papers by Sabine Fessele

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Fessele

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

All Works

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10 of 10 papers shown

Matteoni, Rafaele, et al.. (2023). INFRAFRONTIER: mouse model resources for modelling human diseases. Mammalian Genome. 34(3). 408–417. 4 indexed citations

Raess, Michael, et al.. (2016). INFRAFRONTIER: a European resource for studying the functional basis of human disease. Mammalian Genome. 27(7-8). 445–450. 20 indexed citations

Mayer, Günter, et al.. (2009). A RNA‐Based Approach towards Small‐Molecule Inhibitors. ChemBioChem. 10(12). 1993–1996. 9 indexed citations

Graßl, Guntram A., Sabine Fessele, Irmgard Merfort, et al.. (2005). Sesquiterpene lactones inhibit Yersinia invasin protein-induced IL-8 and MCP-1 production in epithelial cells. International Journal of Medical Microbiology. 295(8). 531–538. 5 indexed citations

Werner, Thomas, et al.. (2003). Computer modeling of promoter organization as a tool to study transcriptional coregulation. The FASEB Journal. 17(10). 1228–1237. 63 indexed citations

Fessele, Sabine, et al.. (2002). Regulatory context is a crucial part of gene function. Trends in Genetics. 18(2). 60–63. 79 indexed citations

Fessele, Sabine, et al.. (2001). Molecular and in silico characterization of a promoter module and C/EBP element that mediate LPS‐induced RANTES/CCL5 expression in monocytic cells. The FASEB Journal. 15(3). 577–579. 50 indexed citations

Schulte, Ralf, Guntram A. Graßl, Sonja Preger, et al.. (2000). Yersinia enterocolitica invasin protein triggers IL‐8 production in epithelial cells via activation of Rel p65‐p65 homodimers. The FASEB Journal. 14(11). 1471–1484. 57 indexed citations

Fessele, Sabine, Neil G. Miyamoto, Thomas Werner, et al.. (2000). ATF and Jun transcription factors, acting through an Ets / CRE promoter module, mediate lipopolysaccharide inducibility of the chemokine RANTES in monocytic Mono Mac 6 cells. European Journal of Immunology. 30(4). 1102–1112. 58 indexed citations

10.

Hummel, Michael, Ivana Durinovic‐Belló, Ezio Bonifacio, et al.. (1998). Humoral and cellular immune parameters before and during immunosuppressive therapy of a patient with stiff-man syndrome and insulin dependent diabetes mellitus. Journal of Neurology Neurosurgery & Psychiatry. 65(2). 204–208. 20 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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