Michael Slama

1.0k total citations
18 papers, 746 citations indexed

About

Michael Slama is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Biomedical Engineering. According to data from OpenAlex, Michael Slama has authored 18 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 9 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Biomedical Engineering. Recurrent topics in Michael Slama's work include Pancreatic function and diabetes (8 papers), Diabetes Management and Research (6 papers) and Pluripotent Stem Cells Research (3 papers). Michael Slama is often cited by papers focused on Pancreatic function and diabetes (8 papers), Diabetes Management and Research (6 papers) and Pluripotent Stem Cells Research (3 papers). Michael Slama collaborates with scholars based in United States, Italy and Germany. Michael Slama's co-authors include Ananda Basu, Rita Basu, Thomas A. Peyser, Simmi Dube, Claudio Cobelli, Rickey E. Carter, Yogish C. Kudva, Quinn P. Peterson, Jasmina Varagić and Edward D. Fröhlich and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

Michael Slama

18 papers receiving 716 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 Slama United States 13 361 341 162 155 112 18 746
Joan Lee Parkes United States 16 810 2.2× 271 0.8× 151 0.9× 245 1.6× 194 1.7× 36 1.2k
Katsuhiko Kuwa Japan 16 372 1.0× 115 0.3× 68 0.4× 94 0.6× 136 1.2× 51 866
Kenshi Ichinose Japan 12 262 0.7× 243 0.7× 53 0.3× 97 0.6× 139 1.2× 18 591
Manfred Bodenlenz Austria 16 470 1.3× 313 0.9× 95 0.6× 198 1.3× 111 1.0× 34 1.1k
Stefano Sbrignadello Italy 11 121 0.3× 69 0.2× 93 0.6× 33 0.2× 180 1.6× 21 538
Andreas Wehinger Austria 10 113 0.3× 116 0.3× 227 1.4× 34 0.2× 122 1.1× 15 490
J C Standefer United States 14 282 0.8× 209 0.6× 36 0.2× 107 0.7× 219 2.0× 28 756
T J Penders Netherlands 15 345 1.0× 65 0.2× 59 0.4× 71 0.5× 223 2.0× 21 728
RAJENDRANATH SELAGAMSETTY United States 6 244 0.7× 186 0.5× 25 0.2× 138 0.9× 87 0.8× 8 441

Countries citing papers authored by Michael Slama

Since Specialization
Citations

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

Fields of papers citing papers by Michael Slama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Slama

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

All Works

18 of 18 papers shown
1.
Zhan, Li, Joseph Sushil Rao, Michael Slama, et al.. (2022). Pancreatic islet cryopreservation by vitrification achieves high viability, function, recovery and clinical scalability for transplantation. Nature Medicine. 28(4). 798–808. 68 indexed citations
2.
Gwon, Kihak, Hye Jin Hong, Alan M. Gonzalez‐Suarez, et al.. (2021). Bioactive hydrogel microcapsules for guiding stem cell fate decisions by release and reloading of growth factors. Bioactive Materials. 15. 1–14. 12 indexed citations
3.
Fattahi, Pouria, Ali Rahimian, Michael Slama, et al.. (2021). Core–shell hydrogel microcapsules enable formation of human pluripotent stem cell spheroids and their cultivation in a stirred bioreactor. Scientific Reports. 11(1). 7177–7177. 38 indexed citations
4.
Jia, Yun‐Fang, Subbiah Jeeva, Jin Xu, et al.. (2020). TBK1 regulates regeneration of pancreatic β-cells. Scientific Reports. 10(1). 19374–19374. 7 indexed citations
5.
Peterson, Quinn P., Adrian Veres, Lihua Chen, et al.. (2020). A method for the generation of human stem cell-derived alpha cells. Nature Communications. 11(1). 2241–2241. 58 indexed citations
6.
Basu, Rita, Michele Schiavon, Ling Hinshaw, et al.. (2019). A novel natural tracer method to measure complex carbohydrate metabolism. American Journal of Physiology-Endocrinology and Metabolism. 317(3). E483–E493. 6 indexed citations
7.
Dube, Simmi, Michael Slama, R. Visentin, et al.. (2017). Randomized Controlled Trial of a MUFA or Fiber-Rich Diet on Hepatic Fat in Prediabetes. The Journal of Clinical Endocrinology & Metabolism. 102(5). 1765–1774. 63 indexed citations
8.
Basu, Ananda, Michael Slama, Wayne T. Nicholson, et al.. (2017). Continuous Glucose Monitor Interference With Commonly Prescribed Medications: A Pilot Study. Journal of Diabetes Science and Technology. 11(5). 936–941. 59 indexed citations
9.
Dube, Simmi, Michael Slama, Ananda Basu, Robert A. Rizza, & Rita Basu. (2015). Glucocorticoid Excess Increases Hepatic 11β-HSD-1 Activity in Humans: Implications in Steroid-Induced Diabetes. The Journal of Clinical Endocrinology & Metabolism. 100(11). 4155–4162. 19 indexed citations
10.
Schiavon, Michele, Chiara Dalla Man, Simmi Dube, et al.. (2015). Modeling Plasma-to-Interstitium Glucose Kinetics from Multitracer Plasma and Microdialysis Data. Diabetes Technology & Therapeutics. 17(11). 825–831. 32 indexed citations
11.
Basu, Ananda, Simmi Dube, Michael Slama, et al.. (2014). Time Lag of Glucose From Intravascular to Interstitial Compartment in Type 1 Diabetes. Journal of Diabetes Science and Technology. 9(1). 63–68. 116 indexed citations
12.
Basu, Ananda, Simmi Dube, Michael Slama, et al.. (2013). Time Lag of Glucose From Intravascular to Interstitial Compartment in Humans. Diabetes. 62(12). 4083–4087. 140 indexed citations
13.
Cheveigné, Alain de & Michael Slama. (2006). Acoustic Scene Analysis Based on Power Decomposition. 5. V–49. 4 indexed citations
14.
Sušić, Dinko, Jasmina Varagić, Jwari Ahn, Michael Slama, & Edward D. Fröhlich. (2003). Beneficial pleiotropic vascular effects of rosuvastatin in two hypertensive models. Journal of the American College of Cardiology. 42(6). 1091–1097. 66 indexed citations
15.
Slama, Michael, et al.. (2000). Analysis of Ternary Mixtures with a Single Dynamic Microbial Sensor and Chemometrics Using a Nonlinear Multivariate Calibration. Analytical Chemistry. 72(13). 2937–2942. 21 indexed citations
16.
Welle, Frank, et al.. (2000). Moisture management for a successful analysis of polymers with chemical sensor systems. Sensors and Actuators B Chemical. 69(3). 372–378. 3 indexed citations
17.
Slama, Michael, Christiane Zaborosch, D. Wienke, & Friedrich Spener. (1997). Chemometrical studies on mixture analysis with a single dynamic microbial sensor. Sensors and Actuators B Chemical. 44(1-3). 286–290. 13 indexed citations
18.
Slama, Michael, Christiane Zaborosch, D. Wienke, & Friedrich Spener. (1996). Simultaneous Mixture Analysis Using a Dynamic Microbial Sensor Combined with Chemometrics. Analytical Chemistry. 68(21). 3845–3850. 21 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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