Kathrin Gianmoena

527 total citations
7 papers, 137 citations indexed

About

Kathrin Gianmoena is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Kathrin Gianmoena has authored 7 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in Kathrin Gianmoena's work include Metabolomics and Mass Spectrometry Studies (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Glycosylation and Glycoproteins Research (1 paper). Kathrin Gianmoena is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Glycosylation and Glycoproteins Research (1 paper). Kathrin Gianmoena collaborates with scholars based in Germany, Austria and Netherlands. Kathrin Gianmoena's co-authors include Cristina Cadenas, Jan G. Hengstler, Vincent Zimmer, Karolina Edlund, Volkhard Helms, Katja Gemperlein, Roland Hergenröder, Frank Lammert, Alexandra K. Kiemer and Jan T. Andersson and has published in prestigious journals such as The Journal of Immunology, International Journal of Molecular Sciences and Analytical and Bioanalytical Chemistry.

In The Last Decade

Kathrin Gianmoena

7 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathrin Gianmoena Germany 6 92 34 26 18 16 7 137
Jörg Büscher Germany 2 86 0.9× 31 0.9× 21 0.8× 68 3.8× 22 1.4× 2 213
Thomas Mencken United States 4 129 1.4× 68 2.0× 7 0.3× 42 2.3× 12 0.8× 6 248
Asmaa Badr United States 9 152 1.7× 44 1.3× 12 0.5× 73 4.1× 14 0.9× 14 255
Rachel Chirayil United States 7 187 2.0× 33 1.0× 127 4.9× 58 3.2× 19 1.2× 9 288
Marta Starczak Poland 10 270 2.9× 22 0.6× 28 1.1× 10 0.6× 24 1.5× 19 338
Veronica Shamovsky United States 3 77 0.8× 16 0.5× 19 0.7× 33 1.8× 13 0.8× 4 145
Yeheng Liu China 4 62 0.7× 26 0.8× 16 0.6× 16 0.9× 13 0.8× 4 115
Mary Alice Garlipp United States 6 94 1.0× 69 2.0× 8 0.3× 66 3.7× 74 4.6× 9 334
Ryan Pekson United States 8 62 0.7× 55 1.6× 12 0.5× 40 2.2× 13 0.8× 11 169
Evan A. Elko United States 8 116 1.3× 14 0.4× 15 0.6× 23 1.3× 28 1.8× 16 217

Countries citing papers authored by Kathrin Gianmoena

Since Specialization
Citations

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

Fields of papers citing papers by Kathrin Gianmoena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathrin Gianmoena

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

All Works

7 of 7 papers shown
1.
Schriewer, Alexander, et al.. (2017). Oxalic acid quantification in mouse urine and primary mouse hepatocyte cell culture samples by ion exclusion chromatography–mass spectrometry. Journal of Chromatography B. 1068-1069. 239–244. 12 indexed citations
2.
Marchan, Rosemarie, Kathrin Gianmoena, Cristina Cadenas, et al.. (2017). Impact of intratumoral heterogeneity of breast cancer tissue on quantitative metabolomics using high‐resolution magic angle spinning 1H NMR spectroscopy. NMR in Biomedicine. 31(2). 20 indexed citations
3.
Gianmoena, Kathrin. (2017). Metabolic alterations in non-alcoholic fatty liver disease (NAFLD): consequences of AGXT downregulation on glyoxylate detoxification. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 1 indexed citations
4.
Edlund, Karolina, Kathrin Gianmoena, Rosemarie Marchan, et al.. (2016). Metabolic profiling of ob/ob mouse fatty liver using HR-MAS 1H-NMR combined with gene expression analysis reveals alterations in betaine metabolism and the transsulfuration pathway. Analytical and Bioanalytical Chemistry. 409(6). 1591–1606. 26 indexed citations
5.
Ratsch, Boris A., Pawel Durek, Julia K. Polansky, et al.. (2016). Imprinting of Skin/Inflammation Homing in CD4+ T Cells Is Controlled by DNA Methylation within the Fucosyltransferase 7 Gene. The Journal of Immunology. 197(8). 3406–3414. 19 indexed citations
6.
Kessler, Sonja M., Katja Gemperlein, Kathrin Gianmoena, et al.. (2014). Fatty Acid Elongation in Non-Alcoholic Steatohepatitis and Hepatocellular Carcinoma. International Journal of Molecular Sciences. 15(4). 5762–5773. 40 indexed citations
7.
Storck, Wiebke, Iris Meisen, Kathrin Gianmoena, et al.. (2012). Shiga toxin glycosphingolipid receptor expression and toxin susceptibility of human pancreatic ductal adenocarcinomas of differing origin and differentiation. Biological Chemistry. 393(8). 785–799. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jörg Büscher Breakdown of academic impact, for papers by Thomas Mencken Breakdown of academic impact, for papers by Asmaa Badr Breakdown of academic impact, for papers by Rachel Chirayil Breakdown of academic impact, for papers by Marta Starczak Breakdown of academic impact, for papers by Veronica Shamovsky Breakdown of academic impact, for papers by Yeheng Liu Breakdown of academic impact, for papers by Mary Alice Garlipp Breakdown of academic impact, for papers by Ryan Pekson Breakdown of academic impact, for papers by Evan A. Elko
Rankless by CCL
2026