Michael Schlosser

4.7k total citations
125 papers, 3.0k citations indexed

About

Michael Schlosser is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Michael Schlosser has authored 125 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Surgery, 49 papers in Genetics and 34 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Michael Schlosser's work include Diabetes and associated disorders (47 papers), Pancreatic function and diabetes (45 papers) and Diabetes Management and Research (30 papers). Michael Schlosser is often cited by papers focused on Diabetes and associated disorders (47 papers), Pancreatic function and diabetes (45 papers) and Diabetes Management and Research (30 papers). Michael Schlosser collaborates with scholars based in Germany, United States and Italy. Michael Schlosser's co-authors include Ezio Bonifacio, Carina Törn, P.W. Mueller, M. Ziegler, Gregory McCarthy, I Rjasanowski, Martin G. Pomper, Xavier Golay, Peter C.M. van Zijl and Jinyuan Zhou and has published in prestigious journals such as PLoS ONE, Biomaterials and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Michael Schlosser

119 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Schlosser Germany 30 1.3k 1.2k 918 476 299 125 3.0k
Orhan K. Öz United States 34 488 0.4× 836 0.7× 1.0k 1.1× 393 0.8× 155 0.5× 122 3.9k
Mitsuhiro Ito Japan 34 641 0.5× 857 0.7× 344 0.4× 192 0.4× 285 1.0× 146 4.5k
Philippe Meneï France 45 1.1k 0.9× 249 0.2× 220 0.2× 699 1.5× 321 1.1× 205 7.3k
Graeme F. Woodworth United States 43 693 0.5× 149 0.1× 247 0.3× 551 1.2× 170 0.6× 142 5.9k
Iván Peñuelas Spain 37 445 0.3× 356 0.3× 75 0.1× 818 1.7× 421 1.4× 134 4.3k
Osamu Ohtani Japan 28 761 0.6× 234 0.2× 94 0.1× 94 0.2× 204 0.7× 104 2.9k
Yusuke Inoue Japan 28 288 0.2× 170 0.1× 159 0.2× 971 2.0× 127 0.4× 206 3.2k
Dong‐Eog Kim South Korea 33 366 0.3× 199 0.2× 179 0.2× 432 0.9× 422 1.4× 117 4.5k
Moon Soo Park South Korea 37 2.4k 1.9× 226 0.2× 91 0.1× 137 0.3× 136 0.5× 270 5.2k
Masataka Ito Japan 34 508 0.4× 335 0.3× 97 0.1× 483 1.0× 320 1.1× 117 4.8k

Countries citing papers authored by Michael Schlosser

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schlosser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schlosser

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

All Works

20 of 20 papers shown
1.
Schlosser, Michael, Kimberly Korwek, Reginald E. Dunn, & Russell E. Poland. (2020). Reduced post-operative opioid use decreases length of stay and readmission rates in patients undergoing hip and knee joint arthroplasty. Journal of Orthopaedics. 21. 88–93. 14 indexed citations
2.
Culler, Steven D., David S. Jevsevar, Kevin J. McGuire, et al.. (2017). Predicting the Incremental Hospital Cost of Adverse Events Among Medicare Beneficiaries in the Comprehensive Joint Replacement Program During Fiscal Year 2014. The Journal of Arthroplasty. 32(6). 1732–1738.e1. 14 indexed citations
3.
Culler, Steven D., David S. Jevsevar, Kevin G. Shea, et al.. (2016). Incremental Hospital Cost and Length-of-Stay Associated With Treating Adverse Events Among Medicare Beneficiaries Undergoing Lumbar Spinal Fusion During Fiscal Year 2013. Spine. 41(20). 1613–1620. 31 indexed citations
4.
Qu, Dongfeng, Nathaniel Weygant, Randal May, et al.. (2015). Ablation of Doublecortin-Like Kinase 1 in the Colonic Epithelium Exacerbates Dextran Sulfate Sodium-Induced Colitis. PLoS ONE. 10(8). e0134212–e0134212. 56 indexed citations
5.
Hoene, Andreas, Maciej Patrzyk, Uwe Walschus, et al.. (2015). Systemic IFNγ predicts local implant macrophage response. Journal of Materials Science Materials in Medicine. 26(3). 131–131. 8 indexed citations
6.
Hoene, Andreas, Cornelia Prinz, Uwe Walschus, et al.. (2013). In vivoevaluation of copper release and acute local tissue reactions after implantation of copper-coated titanium implants in rats. Biomedical Materials. 8(3). 35009–35009. 37 indexed citations
7.
Beyan, Huriya, Harriëtte Riese, Mohammed I. Hawa, et al.. (2012). Glycotoxin and Autoantibodies Are Additive Environmentally Determined Predictors of Type 1 Diabetes. Diabetes. 61(5). 1192–1198. 40 indexed citations
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Schlosser, Michael, et al.. (2010). Diabetes Antibody Standardization Program: evaluation of assays for insulin autoantibodies. Diabetologia. 53(12). 2611–2620. 132 indexed citations
10.
Haller, Kadri, et al.. (2007). Insulin VNTR I/III genotype is associated with autoantibodies against glutamic acid decarboxylase in newly diagnosed type 1 diabetes. Diabetes/Metabolism Research and Reviews. 23(7). 567–571. 12 indexed citations
11.
Schlosser, Michael, R. Zippel, Andreas Hoene, et al.. (2005). Antibody response to collagen after functional implantation of different polyester vascular prostheses in pigs. Journal of Biomedical Materials Research Part A. 72A(3). 317–325. 18 indexed citations
12.
Durinovic‐Belló, Ivana, Michael Schlosser, Silke Rosinger, et al.. (2004). Pro- and anti-inflammatory cytokine production by autoimmune T cells against preproinsulin in HLA-DRB1*04, DQ8 Type 1 diabetes. Diabetologia. 47(3). 439–450. 48 indexed citations
13.
Durinovic‐Belló, Ivana, Michael Schlosser, Hubert Kalbacher, et al.. (2003). Relationship between T and B Cell Responses to Proinsulin in Human Type 1 Diabetes. Annals of the New York Academy of Sciences. 1005(1). 288–294. 5 indexed citations
14.
Harry, G. Jean, et al.. (2001). Neurodegeneration and glia response in rat hippocampus following nitro-L-arginine methyl ester (L-NAME). Neurotoxicity Research. 3(3). 307–319. 16 indexed citations
15.
Zippel, R., et al.. (2001). Antigenicity of Polyester (Dacron) Vascular Prostheses in an Animal Model. European Journal of Vascular and Endovascular Surgery. 21(3). 202–207. 8 indexed citations
16.
Schlosser, Michael, Nobuhisa Aoyagi, Robert K. Fulbright, John C. Gore, & Gregory McCarthy. (1998). Functional MRI studies of auditory comprehension. Human Brain Mapping. 6(1). 1–13. 149 indexed citations
17.
Schlosser, Michael, et al.. (1997). Sensitive Monoclonal Antibody-Based Sandwich Elisa for Determination of the Diabetes-Associated Autoantigen Glutamic Acid Decarboxylase GAD65. Journal of Immunoassay. 18(4). 289–307. 13 indexed citations
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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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