Ernst A. Noltmann
- Molecular Biology top 5%
- Physiology top 5%
- Surgery top 5%
- Cell Biology top 2%
- Materials Chemistry
- Co-authors
- Stephen A. KubyTheodore A. MahowaldR.W. GracyClark J. GublerKlaus D. SchnackerzLinda M. PullanJohn M. ChirgwinMichael N. Blackburn
- Topics
- Erythrocyte Function and Pathophysiology (26 papers)Pancreatic function and diabetes (26 papers)Enzyme function and inhibition (15 papers)
- Cited by
- Cell BiologyBiochemistryPhysiology
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Ernst A. Noltmann
61 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.4k
- Physiology 655
- Surgery 540
- Cell Biology 481
- Materials Chemistry 322
Countries citing papers authored by Ernst A. Noltmann
This map shows the geographic impact of Ernst A. Noltmann'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 Ernst A. Noltmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ernst A. Noltmann more than expected).
Fields of papers citing papers by Ernst A. Noltmann
This network shows the impact of papers produced by Ernst A. Noltmann. 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 Ernst A. Noltmann. The network helps show where Ernst A. Noltmann may publish in the future.
Co-authorship network of co-authors of Ernst A. Noltmann
This figure shows the co-authorship network connecting the top 25 collaborators of Ernst A. Noltmann. A scholar is included among the top collaborators of Ernst A. Noltmann 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 Ernst A. Noltmann. Ernst A. Noltmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 14 | |
| 3 | 10 | |
| 4 | 76 | |
| 5 | 66 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 59 | |
| 12 | 23 | |
| 13 | 20 | |
| 14 | 17 | |
| 15 | 20 | |
| 16 | 36 | |
| 17 | 190 | |
| 18 | 8 | |
| 19 | [Phosphomannose isomerase. I. Activity measurement and dependence of enzyme action on sulfhydryl groups and metals in some animal tissues]. | 5 |
| 20 | [Phosphomannose isomerase. II. Purification of the enzyme from yeast and separation of phosphomannose isomerase by column chromatography on hydroxyapatite]. | 2 |
About Ernst A. Noltmann
Ernst A. Noltmann is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Physical and Theoretical Chemistry, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (26 papers), Pancreatic function and diabetes (26 papers) and Enzyme function and inhibition (15 papers). The work is most often cited by research in Cell Biology (481 citations), Biochemistry (191 citations) and Physiology (655 citations). Ernst A. Noltmann has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Stephen A. Kuby, Theodore A. Mahowald, R.W. Gracy, Clark J. Gubler, Klaus D. Schnackerz, Linda M. Pullan, John M. Chirgwin, Michael N. Blackburn, Yasushi Nakagawa and Robert H. Yue. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.
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.