E. Humble
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Protein Kinase Regulation and GTPase Signaling 2
- Chemical Synthesis and Analysis 2
- Machine Learning in Bioinformatics 1
- Protein Tyrosine Phosphatases 1
-
- Amino Acid Enzymes and Metabolism 2
- Co-authors
- Lorentz Engström (6 shared papers)Lars Berglund (4 shared papers)Ulf Ragnarsson (2 shared papers)Örjan Zetterqvist (2 shared papers)Pia Ekman (3 shared papers)Vincent P. K. Titanji (1 shared paper)Birger Blombäck (1 shared paper)B. Hessel (1 shared paper)
- Journals
- Journal of Lipid Research (1 paper)Scandinavian Journal of Clinical and Laboratory Investigation (1 paper)Journal of Biological Chemistry (1 paper)FEBS Letters (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- Sweden
In The Last Decade
E. Humble
9 papers receiving 361 citations
Peers
Comparison fields: 5 of 59
- Biochemistry 57
- Cell Biology 80
- Molecular Biology 310
- Spectroscopy 41
- Physiology 57
Countries citing papers authored by E. Humble
This map shows the geographic impact of E. Humble'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. Humble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Humble more than expected).
Fields of papers citing papers by E. Humble
This network shows the impact of papers produced by E. Humble. 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. Humble. The network helps show where E. Humble may publish in the future.
Co-authors
The 10 scholars most cited alongside E. Humble, 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 | 1976 | 191 | |
| 2 | 1976 | 78 | |
| 3 | 1978 | 43 | |
| 4 | 1975 | 25 | |
| 5 | 1980 | 20 | |
| 6 | 1987 | 13 | |
| 7 | 1974 | 12 | |
| 8 | 1991 | 11 | |
| 9 | 1993 | 2 |
About E. Humble
E. Humble is a scholar working on Molecular Biology, Biochemistry, Surgery, Cell Biology and Physiology, having authored 9 papers that have together received 395 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Chemical Synthesis and Analysis (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Machine Learning in Bioinformatics (1 paper), Metabolism and Genetic Disorders (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Biochemistry (57 citations), Cell Biology (80 citations), Molecular Biology (310 citations), Spectroscopy (41 citations) and Physiology (57 citations). E. Humble has collaborated with scholars based in Sweden. Frequent co-authors include Lorentz Engström, Lars Berglund, Ulf Ragnarsson, Örjan Zetterqvist, Pia Ekman, Vincent P. K. Titanji, Birger Blombäck, B. Hessel, Paraskevi Heldin and Olle Ljungström. Their work appears in journals such as Journal of Lipid Research, Scandinavian Journal of Clinical and Laboratory Investigation, Journal of Biological Chemistry, FEBS Letters and Biochemical and Biophysical Research Communications.
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.