J Schade
Impact in
-
- Neuropeptides and Animal Physiology
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
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- Neuropeptides and Animal Physiology 10
- Oncology 9
- Peptidase Inhibition and Analysis 9
- Co-authors
- Stephan von Hörsten (11 shared papers)Michael Stephan (9 shared papers)Andreas Schmiedl (7 shared papers)Reinhard Pabst (7 shared papers)Leona Wagner (5 shared papers)Christian Klemann (5 shared papers)Nadine Frerker (4 shared papers)Torsten Hoffmann (4 shared papers)
In The Last Decade
J Schade
19 papers receiving 475 citations
Peers
Comparison fields: 5 of 70
- Cellular and Molecular Neuroscience 237
- Oncology 277
- Endocrinology, Diabetes and Metabolism 142
- Genetics 51
- Cancer Research 53
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-authors
The 25 scholars most cited alongside J Schade, 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 | 2008 | 93 | |
| 2 | 2007 | 78 | |
| 3 | 2007 | 73 | |
| 4 | 2009 | 36 | |
| 5 | 2008 | 31 | |
| 6 | 2007 | 30 | |
| 7 | 2015 | 28 | |
| 8 | 2010 | 27 | |
| 9 | 2013 | 23 | |
| 10 | 2010 | 18 | |
| 11 | 2009 | 13 | |
| 12 | 2009 | 10 | |
| 13 | 2009 | 6 | |
| 14 | Ultrastructural, immunohistological, and clinical findings in the pancreas in insulin-dependent diabetes mellitus (IDDM) of long duration. | 1983 | 4 |
| 15 | [Alloxan induced long term diabetes in the domestic pig. I]. | 1982 | 4 |
| 16 | [Experimental insulin allergy and diabetic glomerulosclerosis (author's transl)]. | 1973 | 3 |
| 17 | 1977 | 2 | |
| 18 | The problem of diabetic angiolopathy in sand rats (Psammomys obesus). | 1977 | 1 |
| 19 | 2009 | 1 |
About J Schade
J Schade is a scholar working on Cellular and Molecular Neuroscience, Oncology, Endocrinology, Diabetes and Metabolism, Genetics and Surgery, 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), Diabetes and associated disorders (4 papers), Pancreatic function and diabetes (3 papers), Diabetes Treatment and Management (3 papers), Protease and Inhibitor Mechanisms (3 papers), Asthma and respiratory diseases (3 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (237 citations), Oncology (277 citations), Endocrinology, Diabetes and Metabolism (142 citations), Genetics (51 citations) and Cancer Research (53 citations). J Schade has collaborated with scholars based in Germany, Australia and Sweden. Frequent co-authors include Stephan von Hörsten, Michael Stephan, Andreas Schmiedl, Reinhard Pabst, Leona Wagner, Christian Klemann, Nadine Frerker, Torsten Hoffmann, Hans‐Ulrich Demuth and Thomas Skripuletz. Their work appears in journals such as Clinical & Experimental Immunology, Experimental and Clinical Endocrinology & Diabetes, The Journal of Immunology, Immunobiology and Clinical Chemistry and Laboratory Medicine (CCLM).
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.