Michael Slama

1.0k citations
18 papers · 794 · h-index 13

Impact in

Papers in

Michael Slama

18 papers receiving 761 citations

Peers

Michael Slama
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 321
  • Bioengineering 53
  • Surgery 285
  • Genetics 126
  • Biophysics 27
Replace Joan Lee Parkes with:
Joan Lee Parkes United States
Kenshi Ichinose Japan
Katsuhiko Kuwa Japan
Stefano Sbrignadello Italy
K. Wiener United Kingdom
Akiyuki Ohkubo Japan
James G. Boyle United Kingdom
Xiaofeng Ling China
Ahmed Jehanli United Kingdom
Nada A. Ashour Egypt
Michael Slama relative to Joan Lee Parkes United States Joan Lee Parkes's profile →
Citations per field
00.5×1.7×
Joan Lee Parkes · 1×
Citations per year

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-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.

Border = papers with Michael Slama Line = papers co-authored together Michael Slama links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2013152
2 2014119
3 202274
4 200368
5 201768
6 201764
7 202063
8 202141
9 201535
10 200023
11 199623
12 201519
13 199713
14 202112
15 20207
16 20196
17 20064
18 20003

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.

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