Horst Schulz
Impact in
- Clinical Biochemistry top 0.1%
- Metabolism and Genetic Disorders
- Biochemistry top 0.5%
Papers in
-
- Metabolism and Genetic Disorders 42
- Cell Biology 39
- Muscle metabolism and nutrition 15
- Co-authors
- Song‐Yu Yang (23 shared papers)Xue‐Ying He (20 shared papers)Dean A. Cuebas (9 shared papers)Jim C. Fong (4 shared papers)Howard W. Sprecher (6 shared papers)Wolf‐H. Kunau (1 shared paper)Yingzi Yang (8 shared papers)Xiquan Liang (9 shared papers)
- Journals
- Journal of Biological Chemistry (39 papers)Biochemistry (11 papers)Archives of Biochemistry and Biophysics (9 papers)Biochemical and Biophysical Research Communications (8 papers)Journal of Bacteriology (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Horst Schulz
161 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 140
- Clinical Biochemistry 1.4k
- Biochemistry 597
- Molecular Biology 3.7k
- Physiology 982
- Cell Biology 643
Countries citing papers authored by Horst Schulz
This map shows the geographic impact of Horst Schulz'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 Horst Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Horst Schulz more than expected).
Fields of papers citing papers by Horst Schulz
This network shows the impact of papers produced by Horst Schulz. 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 Horst Schulz. The network helps show where Horst Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Horst Schulz, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 340 | |
| 2 | 1999 | 137 | |
| 3 | 1999 | 126 | |
| 4 | 1981 | 119 | |
| 5 | 1987 | 116 | |
| 6 | 1987 | 113 | |
| 7 | 2009 | 112 | |
| 8 | 1998 | 111 | |
| 9 | 2005 | 111 | |
| 10 | 1978 | 109 | |
| 11 | 1995 | 87 | |
| 12 | 2005 | 86 | |
| 13 | 1995 | 86 | |
| 14 | 1990 | 85 | |
| 15 | 1992 | 84 | |
| 16 | 2000 | 84 | |
| 17 | 1981 | 84 | |
| 18 | 1977 | 81 | |
| 19 | 1982 | 79 | |
| 20 | 1991 | 77 |
About Horst Schulz
Horst Schulz is a scholar working on Clinical Biochemistry, Cell Biology, Molecular Biology, Biochemistry and Physiology, having authored 163 papers that have together received 5.9k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (42 papers), Microbial Metabolic Engineering and Bioproduction (28 papers), Peroxisome Proliferator-Activated Receptors (25 papers), Metabolomics and Mass Spectrometry Studies (21 papers), Adipose Tissue and Metabolism (19 papers), Enzyme Structure and Function (17 papers), Muscle metabolism and nutrition (15 papers) and Mitochondrial Function and Pathology (12 papers). The work is most often cited by research in Clinical Biochemistry (1.4k citations), Biochemistry (597 citations), Molecular Biology (3.7k citations), Physiology (982 citations) and Cell Biology (643 citations). Horst Schulz has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Song‐Yu Yang, Xue‐Ying He, Dean A. Cuebas, Jim C. Fong, Howard W. Sprecher, Wolf‐H. Kunau, Yingzi Yang, Xiquan Liang, Ling‐Feng Mao and George Merz. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications and Journal of Bacteriology.
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.