Mika Scheler

739 total citations
8 papers, 506 citations indexed

About

Mika Scheler is a scholar working on Molecular Biology, Physiology and Rehabilitation. According to data from OpenAlex, Mika Scheler has authored 8 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Rehabilitation. Recurrent topics in Mika Scheler's work include Adipose Tissue and Metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Signaling Pathways in Disease (2 papers). Mika Scheler is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Signaling Pathways in Disease (2 papers). Mika Scheler collaborates with scholars based in Germany, Denmark and China. Mika Scheler's co-authors include Martin Hrabě de Angelis, Cora Weigert, Hans‐Ulrich Häring, Harald Staiger, Martin Irmler, Johannes Beckers, Wilhelm Schneiderhan, Jürgen E. Gschwend, Thomas M. Gress and Franz Oswald and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Gut.

In The Last Decade

Mika Scheler

8 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mika Scheler Germany	7	290	248	96	95	85	8	506
Minwoo Nam United States	9	293 1.0×	287 1.2×	102 1.1×	187 2.0×	52 0.6×	11	597
You-You Zhang China	10	299 1.0×	286 1.2×	57 0.6×	203 2.1×	49 0.6×	10	584
Thomas K. Sin Hong Kong	15	318 1.1×	186 0.8×	64 0.7×	122 1.3×	47 0.6×	22	645
Sergio Chiandotto Italy	7	398 1.4×	208 0.8×	53 0.6×	74 0.8×	66 0.8×	12	705
Steffen H. Raun Denmark	13	287 1.0×	312 1.3×	42 0.4×	69 0.7×	152 1.8×	21	565
Jennifer Honek Sweden	8	188 0.6×	392 1.6×	91 0.9×	223 2.3×	67 0.8×	8	630
Timothy P. Gavin United States	9	310 1.1×	242 1.0×	82 0.9×	28 0.3×	70 0.8×	13	504
Amanda T. White United States	11	193 0.7×	195 0.8×	34 0.4×	71 0.7×	34 0.4×	11	494
Qidi Wang China	11	225 0.8×	224 0.9×	61 0.6×	133 1.4×	45 0.5×	16	542
Xiaocen Kong China	17	238 0.8×	178 0.7×	100 1.0×	128 1.3×	20 0.2×	32	582

Countries citing papers authored by Mika Scheler

Since Specialization

Citations

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

Fields of papers citing papers by Mika Scheler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Scheler

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

Hansen, Jakob S., Christoph Hoffmann, Jens Otto Clemmesen, et al.. (2017). Angiopoietin-like protein 4 is an exercise-induced hepatokine in humans, regulated by glucagon and cAMP. Molecular Metabolism. 6(10). 1286–1295. 53 indexed citations

Scheler, Mika, Martin Hrabě de Angelis, Hadi Al‐Hasani, et al.. (2015). Methods for Proteomics-Based Analysis of the Human Muscle Secretome Using an In Vitro Exercise Model. Methods in molecular biology. 1295. 55–64. 8 indexed citations

Hansen, Jakob S., Xinjie Zhao, Martin Irmler, et al.. (2015). Type 2 diabetes alters metabolic and transcriptional signatures of glucose and amino acid metabolism during exercise and recovery. Diabetologia. 58(8). 1845–1854. 75 indexed citations

Staiger, Harald, Anja Böhm, Mika Scheler, et al.. (2013). Common Genetic Variation in the Human FNDC5 Locus, Encoding the Novel Muscle-Derived ‘Browning’ Factor Irisin, Determines Insulin Sensitivity. PLoS ONE. 8(4). e61903–e61903. 90 indexed citations

Scheler, Mika, Martin Irmler, Stefan Lehr, et al.. (2013). Cytokine response of primary human myotubes in an in vitro exercise model. American Journal of Physiology-Cell Physiology. 305(8). C877–C886. 109 indexed citations

Chen, Shili, Xinjie Zhao, Mika Scheler, et al.. (2013). Production and Release of Acylcarnitines by Primary Myotubes Reflect the Differences in Fasting Fat Oxidation of the Donors. The Journal of Clinical Endocrinology & Metabolism. 98(6). E1137–E1142. 27 indexed citations

Schneiderhan, Wilhelm, Mika Scheler, Maria Marx, et al.. (2009). CD147 silencing inhibits lactate transport and reduces malignant potential of pancreatic cancer cells in in vivo and in vitro models. Gut. 58(10). 1391–1398. 142 indexed citations

Schneiderhan, Wilhelm, Mika Scheler, Maria Marx, et al.. (2009). CD147 silencing inhibits lactate transport and reduces malignant potential of pancreatic cancer cells in in-vivo and in-vitro models. Zeitschrift für Gastroenterologie. 47(9). 2 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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