Stefanie Steiger
Impact in
- Nephrology top 0.5%
- Gout, Hyperuricemia, Uric Acid
- Chronic Kidney Disease and Diabetes
- Immunology top 10%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
Papers in
- Nephrology 29
- Gout, Hyperuricemia, Uric Acid 11
- Renal Diseases and Glomerulopathies 9
- Acute Kidney Injury Research 6
- Immunology 28
- Immune cells in cancer 8
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 7
- Co-authors
- Hans‐Joachim Anders (40 shared papers)Jyaysi Desai (6 shared papers)Jacquie L. Harper (7 shared papers)Qiuyue Ma (11 shared papers)Shrikant R. Mulay (8 shared papers)Mohsen Honarpisheh (10 shared papers)Orestes Foresto‐Neto (5 shared papers)Xiao Liu (3 shared papers)
In The Last Decade
Stefanie Steiger
57 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 115
- Nephrology 684
- Immunology 423
- Rheumatology 215
- Pathology and Forensic Medicine 159
- Molecular Biology 606
Countries citing papers authored by Stefanie Steiger
This map shows the geographic impact of Stefanie Steiger'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 Stefanie Steiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefanie Steiger more than expected).
Fields of papers citing papers by Stefanie Steiger
This network shows the impact of papers produced by Stefanie Steiger. 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 Stefanie Steiger. The network helps show where Stefanie Steiger may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefanie Steiger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 181 | |
| 2 | 2017 | 180 | |
| 3 | 2020 | 97 | |
| 4 | 2017 | 93 | |
| 5 | 2011 | 73 | |
| 6 | 2018 | 60 | |
| 7 | 2005 | 57 | |
| 8 | 2013 | 54 | |
| 9 | 2021 | 50 | |
| 10 | 2017 | 48 | |
| 11 | 2017 | 45 | |
| 12 | 2020 | 44 | |
| 13 | 2022 | 38 | |
| 14 | 2012 | 37 | |
| 15 | 2020 | 36 | |
| 16 | 2018 | 32 | |
| 17 | 2018 | 30 | |
| 18 | 2001 | 28 | |
| 19 | 2018 | 28 | |
| 20 | 2017 | 27 |
About Stefanie Steiger
Stefanie Steiger is a scholar working on Nephrology, Immunology, Molecular Biology, Rheumatology and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (15 papers), Gout, Hyperuricemia, Uric Acid (11 papers), Renal Diseases and Glomerulopathies (9 papers), Immune cells in cancer (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Systemic Lupus Erythematosus Research (7 papers), Acute Kidney Injury Research (6 papers) and Biomedical Research and Pathophysiology (6 papers). The work is most often cited by research in Nephrology (684 citations), Immunology (423 citations), Rheumatology (215 citations), Pathology and Forensic Medicine (159 citations) and Molecular Biology (606 citations). Stefanie Steiger has collaborated with scholars based in Germany, Italy and Austria. Frequent co-authors include Hans‐Joachim Anders, Jyaysi Desai, Jacquie L. Harper, Qiuyue Ma, Shrikant R. Mulay, Mohsen Honarpisheh, Orestes Foresto‐Neto, Xiao Liu, Odette M. Shaw and Maciej Lech. Their work appears in journals such as Nephrology Dialysis Transplantation, Frontiers in Immunology, Cells, Journal of the American Society of Nephrology and Scientific Reports.
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.