M. Fugmann

489 total citations
8 papers, 390 citations indexed

About

M. Fugmann is a scholar working on Physiology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. Fugmann has authored 8 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Molecular Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M. Fugmann's work include Birth, Development, and Health (2 papers), Fatty Acid Research and Health (2 papers) and Gestational Diabetes Research and Management (2 papers). M. Fugmann is often cited by papers focused on Birth, Development, and Health (2 papers), Fatty Acid Research and Health (2 papers) and Gestational Diabetes Research and Management (2 papers). M. Fugmann collaborates with scholars based in Germany and Belarus. M. Fugmann's co-authors include Andreas Lechner, Jochen Seißler, Uta Ferrari, Friederike Banning, Harald Grallert, Michaela Breier, M. Weise, Jerzy Adamski, Simone Wahl and Cornelia Prehn and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

M. Fugmann

7 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Fugmann Germany 6 241 109 103 52 47 8 390
Friederike Banning Germany 10 265 1.1× 123 1.1× 122 1.2× 76 1.5× 61 1.3× 14 463
Michaela Breier Germany 7 266 1.1× 121 1.1× 60 0.6× 38 0.7× 35 0.7× 10 398
Maria do Céu Almeida Portugal 11 298 1.2× 64 0.6× 210 2.0× 24 0.5× 57 1.2× 18 588
Sandi M. Azab Canada 11 201 0.8× 90 0.8× 19 0.2× 23 0.4× 31 0.7× 25 351
Thomas Moyon France 13 159 0.7× 85 0.8× 55 0.5× 91 1.8× 95 2.0× 25 525
Ulrike Harder Germany 6 166 0.7× 141 1.3× 25 0.2× 12 0.2× 44 0.9× 7 374
Paola Pirillo Italy 13 121 0.5× 105 1.0× 11 0.1× 42 0.8× 58 1.2× 28 348
S. E. McCormack United States 5 226 0.9× 234 2.1× 14 0.1× 23 0.4× 58 1.2× 6 409
Paula Singmann Germany 8 173 0.7× 157 1.4× 14 0.1× 22 0.4× 69 1.5× 8 353
J. Turner United States 7 58 0.2× 20 0.2× 128 1.2× 53 1.0× 27 0.6× 14 336

Countries citing papers authored by M. Fugmann

Since Specialization
Citations

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

Fields of papers citing papers by M. Fugmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Fugmann

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

All Works

8 of 8 papers shown
1.
Froelich, Matthias F., M. Fugmann, Holger Hetterich, et al.. (2020). Measurement of total and visceral fat mass in young adult women: a comparison of MRI with anthropometric measurements with and without bioelectrical impedance analysis. British Journal of Radiology. 93(1110). 20190874–20190874. 9 indexed citations
2.
Demmelmair, Hans, M. Fugmann, Christian Hellmuth, et al.. (2016). Contribution of glycerophospholipids and sphingomyelin to the circulating NEFA. Prostaglandins Leukotrienes and Essential Fatty Acids. 110. 55–61. 2 indexed citations
3.
Ferrari, Uta, Heike Künzel, Marietta Rottenkolber, et al.. (2015). Poor sleep quality is associated with impaired glucose tolerance in women after gestational diabetes. Journal of Psychiatric Research. 65. 166–171. 16 indexed citations
4.
Fugmann, M., Michaela Breier, Marietta Rottenkolber, et al.. (2015). The stool microbiota of insulin resistant women with recent gestational diabetes, a high risk group for type 2 diabetes. Scientific Reports. 5(1). 13212–13212. 107 indexed citations
5.
Rottenkolber, Marietta, Uta Ferrari, Holger Hetterich, et al.. (2015). The Diabetes Risk Phenotype of Young Women With Recent Gestational Diabetes. The Journal of Clinical Endocrinology & Metabolism. 100(6). E910–E918. 41 indexed citations
6.
Fugmann, M., Olaf Uhl, Christian Hellmuth, et al.. (2015). Differences in the Serum Nonesterified Fatty Acid Profile of Young Women Associated with a Recent History of Gestational Diabetes and Overweight/Obesity. PLoS ONE. 10(5). e0128001–e0128001. 21 indexed citations
7.
Breier, Michaela, Simone Wahl, Cornelia Prehn, et al.. (2014). Targeted Metabolomics Identifies Reliable and Stable Metabolites in Human Serum and Plasma Samples. PLoS ONE. 9(2). e89728–e89728. 194 indexed citations
8.
Rukosujew, Andreas, M. Fugmann, & Hans H. Scheld. (2006). Technik der Gefäßanastomose: Ein Blick in die Geschichte der Entwicklung. The Thoracic and Cardiovascular Surgeon. 54(3). 145–149.

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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