E. Hägele
- Biochemistry top 5%
- Nutrition and Dietetics top 5%
- Physiology top 10%
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- Analytical Methods in Pharmaceuticals 3
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- Protein purification and stability 2
- Protein Structure and Dynamics 2
- Enzyme Catalysis and Immobilization 1
- Chemical Synthesis and Analysis 1
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- Metabolism and Genetic Disorders 2
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- HIV/AIDS drug development and treatment 2
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- Enzyme Production and Characterization 2
- Co-authors
- A. W. WahlefeldJoachim ZiegenhornH SchriewerGerd SchmitzGerd AssmannPaul F. LehmannGuido SauerWolfgang Gruber
- Journals
- Clinical Chemistry (3 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
E. Hägele
13 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Endocrinology, Diabetes and Metabolism 615
- Biochemistry 126
- Nutrition and Dietetics 243
- Cardiology and Cardiovascular Medicine 311
- Physiology 263
Countries citing papers authored by E. Hägele
This map shows the geographic impact of E. Hägele'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 E. Hägele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Hägele more than expected).
Fields of papers citing papers by E. Hägele
This network shows the impact of papers produced by E. Hägele. 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 E. Hägele. The network helps show where E. Hägele may publish in the future.
Co-authorship network
The 16 scholars most cited alongside E. Hägele, 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 | 1986 | 7 | |
| 2 | 1986 | 3 | |
| 3 | 1986 | 6 | |
| 4 | 1986 | 34 | |
| 5 | 1986 | 1 | |
| 6 | 1984 | 1 | |
| 7 | 1984 | 294 | |
| 8 | Reagent for the enzymatic determination of serum total cholesterol with improved lipolytic efficiency.breakdown → | 1983 | 858 |
| 9 | 1983 | 349 | |
| 10 | 1982 | 78 | |
| 11 | 1982 | 2 | |
| 12 | 1978 | 46 | |
| 13 | 1978 | 13 |
About E. Hägele
E. Hägele is a scholar working on Analytical Chemistry, Clinical Biochemistry and Biotechnology, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (3 papers), Protein purification and stability (2 papers), Protein Structure and Dynamics (2 papers), Metabolism and Genetic Disorders (2 papers), HIV/AIDS drug development and treatment (2 papers), Enzyme Production and Characterization (2 papers), Enzyme Catalysis and Immobilization (1 paper) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (615 citations), Biochemistry (126 citations) and Nutrition and Dietetics (243 citations). E. Hägele has collaborated with scholars based in Germany and United States. Frequent co-authors include A. W. Wahlefeld, Joachim Ziegenhorn, H Schriewer, Gerd Schmitz, Gerd Assmann, Paul F. Lehmann, Guido Sauer, Wolfgang Gruber, Elli Rauscher and Dieter Mecke. Their work appears in journals such as Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), European Journal of Biochemistry, Biochemical and Biophysical Research Communications and Fresenius Zeitschrift für Analytische Chemie.
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.