A. W. Wahlefeld
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Molecular Biology
- Physiology top 10%
- Epidemiology top 10%
- Co-authors
- E. HägeleJoachim ZiegenhornHans‐Ulrich BergmeyerPaul O. ScheibeWolfgang GruberGuido SauerPaul F. LehmannElli Rauscher
- Topics
- Enzyme Production and Characterization (2 papers)Amino Acid Enzymes and Metabolism (1 paper)Blood properties and coagulation (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
A. W. Wahlefeld
10 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Endocrinology, Diabetes and Metabolism 548
- Surgery 364
- Molecular Biology 329
- Physiology 287
- Epidemiology 276
Countries citing papers authored by A. W. Wahlefeld
This map shows the geographic impact of A. W. Wahlefeld'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 A. W. Wahlefeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. W. Wahlefeld more than expected).
Fields of papers citing papers by A. W. Wahlefeld
This network shows the impact of papers produced by A. W. Wahlefeld. 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 A. W. Wahlefeld. The network helps show where A. W. Wahlefeld may publish in the future.
Co-authorship network of co-authors of A. W. Wahlefeld
This figure shows the co-authorship network connecting the top 25 collaborators of A. W. Wahlefeld. A scholar is included among the top collaborators of A. W. Wahlefeld based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. W. Wahlefeld. A. W. Wahlefeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 70 | |
| 2 | 69 | |
| 3 | 294 | |
| 4 | 44 | |
| 5 | Reagent for the enzymatic determination of serum total cholesterol with improved lipolytic efficiency.breakdown → | 858 |
| 6 | 18 | |
| 7 | 78 | |
| 8 | 10 | |
| 9 | Optimization of methods for aspartate aminotransferase and alanine aminotransferase.breakdown → | 568 |
| 10 | OPTIMIZATION OF METHODS FOR ASPIRATE AMINOTRANSFERASE AND ALANINE AMINOTRANS-FERASE | 18 |
About A. W. Wahlefeld
A. W. Wahlefeld is a scholar working on Biotechnology, Clinical Biochemistry and Biochemistry, having authored 10 papers that have together received 2.0k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (548 citations), Pharmacology (177 citations) and Biochemistry (103 citations). A. W. Wahlefeld has collaborated with scholars based in United States and Germany. Frequent co-authors include E. Hägele, Joachim Ziegenhorn, Hans‐Ulrich Bergmeyer, Paul O. Scheibe, Wolfgang Gruber, Guido Sauer, Paul F. Lehmann, Elli Rauscher, Udo Becker and Ulf Neumann. Their work appears in journals such as Clinical Chemistry, Thrombosis Research and Clinical Chemistry and Laboratory Medicine (CCLM).
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.