Eberhard Hofmann
Impact in
- Biochemistry top 5%
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
Papers in
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- Metabolism, Diabetes, and Cancer 36
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- Diet, Metabolism, and Disease 33
- Co-authors
- Gèrhard Kopperschläger (26 shared papers)W Diezel (14 shared papers)Wolfgang Schellenberger (41 shared papers)Hannelore Böhme (5 shared papers)Jörn Schulz (2 shared papers)K Nissler (21 shared papers)Klaus Eschrich (16 shared papers)Jörg Bär (1 shared paper)
In The Last Decade
Eberhard Hofmann
130 papers receiving 2.1k citations
Eberhard Hofmann's Hit Papers
Peers
Comparison fields: 5 of 131
- Biochemistry 173
- Molecular Biology 1.6k
- Cell Biology 360
- Cancer Research 330
- Clinical Biochemistry 107
Countries citing papers authored by Eberhard Hofmann
This map shows the geographic impact of Eberhard Hofmann'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 Eberhard Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eberhard Hofmann more than expected).
Fields of papers citing papers by Eberhard Hofmann
This network shows the impact of papers produced by Eberhard Hofmann. 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 Eberhard Hofmann. The network helps show where Eberhard Hofmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Eberhard Hofmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An improved procedure for protein staining in polyacrylamide gels with a new type of Coomassie Brilliant Blue Hit paper breakdown → | 1972 | 427 |
| 2 | 1980 | 337 | |
| 3 | 1972 | 258 | |
| 4 | 1976 | 96 | |
| 5 | 1982 | 87 | |
| 6 | 1977 | 79 | |
| 7 | 1973 | 58 | |
| 8 | 1968 | 53 | |
| 9 | 1971 | 50 | |
| 10 | 1969 | 46 | |
| 11 | 1983 | 40 | |
| 12 | 1971 | 30 | |
| 13 | 1987 | 27 | |
| 14 | 1983 | 27 | |
| 15 | 1980 | 27 | |
| 16 | 1975 | 23 | |
| 17 | 1961 | 23 | |
| 18 | 1976 | 22 | |
| 19 | 1972 | 20 | |
| 20 | 1973 | 20 |
About Eberhard Hofmann
Eberhard Hofmann is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery and Cell Biology, having authored 138 papers that have together received 2.4k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (36 papers), Diet, Metabolism, and Disease (33 papers), Cancer, Hypoxia, and Metabolism (32 papers), Pancreatic function and diabetes (28 papers), Enzyme Structure and Function (21 papers), Hemoglobin structure and function (19 papers), Erythrocyte Function and Pathophysiology (15 papers) and Amino Acid Enzymes and Metabolism (14 papers). The work is most often cited by research in Biochemistry (173 citations), Molecular Biology (1.6k citations), Cell Biology (360 citations), Cancer Research (330 citations) and Clinical Biochemistry (107 citations). Eberhard Hofmann has collaborated with scholars based in Germany and Russia. Frequent co-authors include Gèrhard Kopperschläger, W Diezel, Wolfgang Schellenberger, Hannelore Böhme, Jörn Schulz, K Nissler, Klaus Eschrich, Jörg Bär, Gisela Sparmann and Matthias Kretschmer. Their work appears in journals such as FEBS Letters, European Journal of Biochemistry, Biochemical and Biophysical Research Communications, Die Naturwissenschaften and Planta.
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.