J Schade
- Oncology top 10%
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Physiology
- Co-authors
- Stephan von HörstenMichael StephanReinhard PabstAndreas SchmiedlLeona WagnerNadine FrerkerChristian KlemannTorsten Hoffmann
- Topics
- Neuropeptides and Animal Physiology (10 papers)Peptidase Inhibition and Analysis (9 papers)Diabetes and associated disorders (4 papers)
In The Last Decade
J Schade
19 papers receiving 475 citations
Peers
Comparison fields: 5 of 70
- Oncology 277
- Cellular and Molecular Neuroscience 237
- Endocrinology, Diabetes and Metabolism 142
- Molecular Biology 84
- Physiology 55
Countries citing papers authored by J Schade
This map shows the geographic impact of J Schade'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 J Schade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Schade more than expected).
Fields of papers citing papers by J Schade
This network shows the impact of papers produced by J Schade. 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 J Schade. The network helps show where J Schade may publish in the future.
Co-authorship network of co-authors of J Schade
This figure shows the co-authorship network connecting the top 25 collaborators of J Schade. A scholar is included among the top collaborators of J Schade 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 J Schade. J Schade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 23 | |
| 3 | 27 | |
| 4 | 18 | |
| 5 | 36 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 93 | |
| 11 | 31 | |
| 12 | 30 | |
| 13 | 78 | |
| 14 | 73 | |
| 15 | Ultrastructural, immunohistological, and clinical findings in the pancreas in insulin-dependent diabetes mellitus (IDDM) of long duration. | 4 |
| 16 | [Alloxan induced long term diabetes in the domestic pig. I]. | 4 |
| 17 | The problem of diabetic angiolopathy in sand rats (Psammomys obesus). | 1 |
| 18 | 2 | |
| 19 | [Experimental insulin allergy and diabetic glomerulosclerosis (author's transl)]. | 3 |
About J Schade
J Schade is a scholar working on Cellular and Molecular Neuroscience, Oncology and Nephrology, having authored 19 papers that have together received 481 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Peptidase Inhibition and Analysis (9 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (237 citations), Oncology (277 citations) and Endocrinology, Diabetes and Metabolism (142 citations). J Schade has collaborated with scholars based in Germany, Australia and Sweden. Frequent co-authors include Stephan von Hörsten, Michael Stephan, Reinhard Pabst, Andreas Schmiedl, Leona Wagner, Nadine Frerker, Christian Klemann, Torsten Hoffmann, Hans‐Ulrich Demuth and Thomas Skripuletz. Their work appears in journals such as The Journal of Immunology, Journal of Neurochemistry and Journal of Histochemistry & Cytochemistry.
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.