Michael Schramm
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- Neuroscience and Neuropharmacology Research 13
- Biotechnology top 2%
- Enzyme Production and Characterization 7
- Physiology top 2%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 10
- Receptor Mechanisms and Signaling 9
- Lipid Membrane Structure and Behavior 8
- Ion channel regulation and function 8
- Nutrition and Dietetics top 2%
- Microbial Metabolites in Food Biotechnology 7
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- Amino Acid Enzymes and Metabolism 6
- Co-authors
- Zvi SelingerSara EimerlItzhak OhadAvner BdolahAbraham LoyterRita TriebskornYoav CitriEwald F Müller
- Journals
- Journal of Biological Chemistry (8 papers)Biochemical and Biophysical Research Communications (6 papers)Brain Research (5 papers)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Michael Schramm
75 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Cellular and Molecular Neuroscience 970
- Biotechnology 319
- Physiology 837
- Molecular Biology 2.2k
- Nutrition and Dietetics 447
Countries citing papers authored by Michael Schramm
This map shows the geographic impact of Michael Schramm'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 Schramm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schramm more than expected).
Fields of papers citing papers by Michael Schramm
This network shows the impact of papers produced by Michael Schramm. 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 Schramm. The network helps show where Michael Schramm may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Schramm, 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 | 2002 | 44 | |
| 2 | 2000 | 5 | |
| 3 | 1997 | 28 | |
| 4 | 1995 | 26 | |
| 5 | 1994 | 145 | |
| 6 | 1993 | 32 | |
| 7 | 1993 | 20 | |
| 8 | 1992 | 20 | |
| 9 | 1991 | 14 | |
| 10 | 1990 | 9 | |
| 11 | 1989 | 16 | |
| 12 | 1988 | 13 | |
| 13 | 1988 | 24 | |
| 14 | 1987 | 6 | |
| 15 | 1986 | 31 | |
| 16 | 1975 | 15 | |
| 17 | 1971 | 68 | |
| 18 | 1970 | 16 | |
| 19 | 1968 | 50 | |
| 20 | 1964 | 24 |
About Michael Schramm
Michael Schramm is a scholar working on Fuel Technology, Cellular and Molecular Neuroscience, Biochemistry, Biotechnology and Molecular Biology, having authored 76 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Glycosylation and Glycoproteins Research (10 papers), Receptor Mechanisms and Signaling (9 papers), Lipid Membrane Structure and Behavior (8 papers), Ion channel regulation and function (8 papers), Microbial Metabolites in Food Biotechnology (7 papers), Enzyme Production and Characterization (7 papers) and Amino Acid Enzymes and Metabolism (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (970 citations), Biotechnology (319 citations), Physiology (837 citations), Molecular Biology (2.2k citations) and Nutrition and Dietetics (447 citations). Michael Schramm has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Zvi Selinger, Sara Eimerl, Itzhak Ohad, Avner Bdolah, Abraham Loyter, Rita Triebskorn, Yoav Citri, Ewald F Müller, Shmuel Batzri and Yoram Salomon. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Brain Research, Journal of Neurochemistry and Proceedings of the National Academy of Sciences.
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.