S. G. Schäfer
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Organic Chemistry top 10%
- Physiology
- Co-authors
- Paul ErnsbergerM.O. ChristenW. FörthMusa A. HaxhiuIsmail A DreshajE. RichterFrancesco AbbateAngela Casini
- Topics
- Heavy Metal Exposure and Toxicity (9 papers)Trace Elements in Health (5 papers)Iron Metabolism and Disorders (5 papers)
- Journals
- Annals of the New York Academy of SciencesJournal of NutritionJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
S. G. Schäfer
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 518
- Cellular and Molecular Neuroscience 282
- Cardiology and Cardiovascular Medicine 184
- Organic Chemistry 181
- Physiology 125
Countries citing papers authored by S. G. Schäfer
This map shows the geographic impact of S. G. Schäfer'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 S. G. Schäfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. G. Schäfer more than expected).
Fields of papers citing papers by S. G. Schäfer
This network shows the impact of papers produced by S. G. Schäfer. 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 S. G. Schäfer. The network helps show where S. G. Schäfer may publish in the future.
Co-authorship network of co-authors of S. G. Schäfer
This figure shows the co-authorship network connecting the top 25 collaborators of S. G. Schäfer. A scholar is included among the top collaborators of S. G. Schäfer 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 S. G. Schäfer. S. G. Schäfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 198 | |
| 4 | 4 | |
| 5 | 20 | |
| 6 | 115 | |
| 7 | 222 | |
| 8 | 178 | |
| 9 | 19 | |
| 10 | 19 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 22 | |
| 14 | On the absorption of divalent and trivalent iron in living rats. | 7 |
| 15 | 46 | |
| 16 | 9 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 21 | |
| 20 | 11 |
About S. G. Schäfer
S. G. Schäfer is a scholar working on Health, Toxicology and Mutagenesis, Complementary and Manual Therapy and Hematology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (9 papers), Trace Elements in Health (5 papers) and Iron Metabolism and Disorders (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (282 citations), Endocrine and Autonomic Systems (93 citations) and Biochemistry (67 citations). S. G. Schäfer has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Paul Ernsberger, M.O. Christen, W. Förth, Musa A. Haxhiu, Ismail A Dreshaj, E. Richter, Francesco Abbate, Angela Casini, Jack P. Antel and Andrea Scozzafava. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Nutrition and Journal of Pharmacology and Experimental Therapeutics.
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.