Michael Slama
Impact in
-
- Diabetes Management and Research
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Bioengineering top 10%
- Analytical Chemistry and Sensors
Papers in
- Surgery 7
- Pancreatic function and diabetes 7
-
- Diabetes Management and Research 5
- Co-authors
- Ananda Basu (7 shared papers)Rita Basu (7 shared papers)Simmi Dube (5 shared papers)Thomas A. Peyser (4 shared papers)Claudio Cobelli (5 shared papers)Rickey E. Carter (4 shared papers)Yogish C. Kudva (3 shared papers)Quinn P. Peterson (5 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Sensors and Actuators B Chemical (2 papers)Scientific Reports (2 papers)Journal of Diabetes Science and Technology (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Michael Slama
18 papers receiving 761 citations
Peers
Comparison fields: 5 of 93
- Endocrinology, Diabetes and Metabolism 321
- Bioengineering 53
- Surgery 285
- Genetics 126
- Biophysics 27
Countries citing papers authored by Michael Slama
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
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-authors
The 25 scholars most cited alongside Michael Slama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 152 | |
| 2 | 2014 | 119 | |
| 3 | 2022 | 74 | |
| 4 | 2003 | 68 | |
| 5 | 2017 | 68 | |
| 6 | 2017 | 64 | |
| 7 | 2020 | 63 | |
| 8 | 2021 | 41 | |
| 9 | 2015 | 35 | |
| 10 | 2000 | 23 | |
| 11 | 1996 | 23 | |
| 12 | 2015 | 19 | |
| 13 | 1997 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2006 | 4 | |
| 18 | 2000 | 3 |
About Michael Slama
Michael Slama is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Biomedical Engineering, Molecular Biology and Bioengineering, having authored 18 papers that have together received 794 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Diabetes Management and Research (5 papers), Analytical Chemistry and Sensors (3 papers), Pluripotent Stem Cells Research (3 papers), Advanced Chemical Sensor Technologies (3 papers), Diabetes and associated disorders (2 papers), 3D Printing in Biomedical Research (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (321 citations), Bioengineering (53 citations), Surgery (285 citations), Genetics (126 citations) and Biophysics (27 citations). Michael Slama has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Ananda Basu, Rita Basu, Simmi Dube, Thomas A. Peyser, Claudio Cobelli, Rickey E. Carter, Yogish C. Kudva, Quinn P. Peterson, Jwari Ahn and Edward D. Fröhlich. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Sensors and Actuators B Chemical, Scientific Reports, Journal of Diabetes Science and Technology and Analytical Chemistry.
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.