Peter Boor
Impact in
- Nephrology top 0.1%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Health Informatics top 0.5%
Papers in
-
- Microbial metabolism and enzyme function 19
- Nephrology 84
- Renal Diseases and Glomerulopathies 50
- Chronic Kidney Disease and Diabetes 50
- Co-authors
- Jürgen Floege (55 shared papers)Tammo Ostendorf (41 shared papers)Sonja Djudjaj (39 shared papers)Barbara M. Klinkhammer (58 shared papers)Roman D. Bülow (30 shared papers)S. D. Langford (5 shared papers)Jürgen Floege (15 shared papers)G.A.S. Ansari (24 shared papers)
- Journals
- Journal of the American Society of Nephrology (24 papers)Kidney International (21 papers)Toxicology and Applied Pharmacology (20 papers)Nephrology Dialysis Transplantation (17 papers)Toxicology (14 papers)
- Partner nations
- GermanyUnited StatesSlovakia
In The Last Decade
Peter Boor
433 papers receiving 14.4k citations
Peter Boor's Hit Papers
Peers
Comparison fields: 5 of 173
- Nephrology 3.0k
- Health Informatics 148
- Transplantation 247
- Biochemistry 580
- Immunology 1.6k
Countries citing papers authored by Peter Boor
This map shows the geographic impact of Peter Boor'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 Peter Boor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Boor more than expected).
Fields of papers citing papers by Peter Boor
This network shows the impact of papers produced by Peter Boor. 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 Peter Boor. The network helps show where Peter Boor may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Boor, 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 449 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer Hit paper breakdown → | 2019 | 798 |
| 2 | Renal fibrosis: novel insights into mechanisms and therapeutic targets Hit paper breakdown → | 2010 | 507 |
| 3 | Cellular and molecular mechanisms of kidney fibrosis Hit paper breakdown → | 2018 | 357 |
| 4 | 2014 | 276 | |
| 5 | Extracellular Matrix in Kidney Fibrosis: More Than Just a Scaffold Hit paper breakdown → | 2019 | 270 |
| 6 | 2006 | 233 | |
| 7 | 2007 | 216 | |
| 8 | 1996 | 208 | |
| 9 | 2019 | 178 | |
| 10 | 2015 | 173 | |
| 11 | 2012 | 170 | |
| 12 | 2017 | 164 | |
| 13 | 2016 | 161 | |
| 14 | 2015 | 135 | |
| 15 | 2016 | 133 | |
| 16 | 2007 | 127 | |
| 17 | 2017 | 124 | |
| 18 | 2018 | 121 | |
| 19 | 2015 | 118 | |
| 20 | 2017 | 108 |
About Peter Boor
Peter Boor is a scholar working on Molecular Biology, Nephrology, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 449 papers that have together received 14.7k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (50 papers), Chronic Kidney Disease and Diabetes (50 papers), AI in cancer detection (23 papers), Liver Disease Diagnosis and Treatment (21 papers), COVID-19 Clinical Research Studies (20 papers), Microbial metabolism and enzyme function (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Renal and Vascular Pathologies (15 papers). The work is most often cited by research in Nephrology (3.0k citations), Health Informatics (148 citations), Transplantation (247 citations), Biochemistry (580 citations) and Immunology (1.6k citations). Peter Boor has collaborated with scholars based in Germany, United States and Slovakia. Frequent co-authors include Jürgen Floege, Tammo Ostendorf, Sonja Djudjaj, Barbara M. Klinkhammer, Roman D. Bülow, S. D. Langford, Jürgen Floege, G.A.S. Ansari, Uta Kunter and Katarı́na Šebeková. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, Toxicology and Applied Pharmacology, Nephrology Dialysis Transplantation and Toxicology.
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.