Sarah Fehr

443 total citations
8 papers, 206 citations indexed

About

Sarah Fehr is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Sarah Fehr has authored 8 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Infectious Diseases. Recurrent topics in Sarah Fehr's work include Drug Transport and Resistance Mechanisms (2 papers), HIV/AIDS drug development and treatment (2 papers) and Melanoma and MAPK Pathways (2 papers). Sarah Fehr is often cited by papers focused on Drug Transport and Resistance Mechanisms (2 papers), HIV/AIDS drug development and treatment (2 papers) and Melanoma and MAPK Pathways (2 papers). Sarah Fehr collaborates with scholars based in Germany. Sarah Fehr's co-authors include Matthias Schwab, Elke Schaeffeler, Saskia Biskup, Kathrin Klein, Ulrich M. Zanger, Stefan Winter, Florian Battke, Roman Tremmel, Tim Scheurenbrand and Michael Gersemann and has published in prestigious journals such as The FASEB Journal, Human Genetics and Mucosal Immunology.

In The Last Decade

Sarah Fehr

8 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah Fehr Germany	8	80	50	40	33	27	8	206
Makiko Yamaoka Japan	9	264 3.3×	20 0.4×	21 0.5×	31 0.9×	16 0.6×	16	415
André Mahns Germany	9	77 1.0×	31 0.6×	37 0.9×	24 0.7×	30 1.1×	9	294
Shengqi He China	8	73 0.9×	20 0.4×	22 0.6×	38 1.2×	13 0.5×	22	206
Stephen Haneline United States	5	70 0.9×	38 0.8×	22 0.6×	88 2.7×	25 0.9×	8	336
Marnie A. Higgins United States	6	183 2.3×	17 0.3×	72 1.8×	24 0.7×	33 1.2×	7	364
Timothy K. Tippin United States	7	153 1.9×	34 0.7×	136 3.4×	21 0.6×	28 1.0×	9	360
Wen-Qi Lai Singapore	8	329 4.1×	22 0.4×	46 1.1×	130 3.9×	5 0.2×	8	459
Fangfang Yang China	12	229 2.9×	35 0.7×	21 0.5×	38 1.2×	9 0.3×	46	359
John van Duzer United States	9	119 1.5×	14 0.3×	60 1.5×	25 0.8×	29 1.1×	11	333
Zhilin Chen China	11	98 1.2×	48 1.0×	64 1.6×	23 0.7×	12 0.4×	32	319

Countries citing papers authored by Sarah Fehr

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Fehr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Fehr

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

All Works

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8 of 8 papers shown

1.

Tropitzsch, Anke, Martin Schulze, Florian Battke, et al.. (2021). Diagnostic Yield of Targeted Hearing Loss Gene Panel Sequencing in a Large German Cohort With a Balanced Age Distribution from a Single Diagnostic Center: An Eight-year Study. Ear and Hearing. 43(3). 1049–1066. 22 indexed citations

2.

Tremmel, Roman, Kathrin Klein, Florian Battke, et al.. (2019). Copy number variation profiling in pharmacogenes using panel-based exome resequencing and correlation to human liver expression. Human Genetics. 139(2). 137–149. 13 indexed citations

3.

Klein, Kathrin, Roman Tremmel, Stefan Winter, et al.. (2019). A New Panel-Based Next-Generation Sequencing Method for ADME Genes Reveals Novel Associations of Common and Rare Variants With Expression in a Human Liver Cohort. Frontiers in Genetics. 10. 7–7. 43 indexed citations

4.

Cheng, Fei, Sarah Fehr, Elke Schaeffeler, et al.. (2016). Selective p38α MAP kinase/MAPK14 inhibition in enzymatically modified LDL‐stimulated human monocytes: implications for atherosclerosis. The FASEB Journal. 31(2). 674–686. 23 indexed citations

5.

Fehr, Sarah, et al.. (2015). Impact of p38 MAP Kinase Inhibitors on LPS-Induced Release of TNF-α in Whole Blood and Primary Cells from Different Species. Cellular Physiology and Biochemistry. 36(6). 2237–2249. 22 indexed citations

6.

Riedmaier, Arian Emami, Oliver Burk, Elke Schaeffeler, et al.. (2015). Variability in hepatic expression of organic anion transporter 7/SLC22A9, a novel pravastatin uptake transporter: impact of genetic and regulatory factors. The Pharmacogenomics Journal. 16(4). 341–351. 34 indexed citations

7.

Jaeger, Simon U., Bjoern O. Schroeder, Ulf Meyer‐Hoffert, et al.. (2013). Cell-mediated reduction of human β-defensin 1: a major role for mucosal thioredoxin. Mucosal Immunology. 6(6). 1179–1190. 40 indexed citations

8.

Schmale, Hartwig, Sarah Fehr, & D. Richter. (1987). Vasopressin biosynthesis--from gene to peptide hormone.. PubMed. 21. S8–13. 9 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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