Peter Boor
Impact in
- Nephrology top 0.1%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Health Informatics top 1%
Papers in
- Nephrology 76
- Chronic Kidney Disease and Diabetes 47
- Renal Diseases and Glomerulopathies 43
- Dialysis and Renal Disease Management 14
- Acute Kidney Injury Research 12
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- Microbial metabolism and enzyme function 12
- Co-authors
- Jürgen Floege (53 shared papers)Tammo Ostendorf (41 shared papers)Sonja Djudjaj (40 shared papers)Barbara M. Klinkhammer (66 shared papers)Roman D. Bülow (30 shared papers)Jürgen Floege (16 shared papers)Uta Kunter (18 shared papers)Katarı́na Šebeková (20 shared papers)
- Journals
- Journal of the American Society of Nephrology (24 papers)Kidney International (21 papers)Nephrology Dialysis Transplantation (18 papers)Scientific Reports (12 papers)American Journal Of Pathology (8 papers)
- Partner nations
- GermanyUnited StatesSlovakia
In The Last Decade
Peter Boor
336 papers receiving 12.7k citations
Peter Boor's Hit Papers
Peers
Comparison fields: 5 of 169
- Nephrology 2.7k
- Health Informatics 146
- Transplantation 182
- Immunology 1.4k
- Genetics 626
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 349 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 | 891 |
| 2 | Renal fibrosis: novel insights into mechanisms and therapeutic targets Hit paper breakdown → | 2010 | 523 |
| 3 | Cellular and molecular mechanisms of kidney fibrosis Hit paper breakdown → | 2018 | 368 |
| 4 | 2014 | 284 | |
| 5 | Extracellular Matrix in Kidney Fibrosis: More Than Just a Scaffold Hit paper breakdown → | 2019 | 280 |
| 6 | 2006 | 247 | |
| 7 | 2007 | 235 | |
| 8 | 2019 | 185 | |
| 9 | 2015 | 183 | |
| 10 | 2012 | 178 | |
| 11 | 2017 | 172 | |
| 12 | 2016 | 167 | |
| 13 | 2016 | 141 | |
| 14 | 2015 | 140 | |
| 15 | 2017 | 131 | |
| 16 | 2007 | 130 | |
| 17 | 2018 | 128 | |
| 18 | 2015 | 122 | |
| 19 | 2017 | 112 | |
| 20 | 2017 | 111 |
About Peter Boor
Peter Boor is a scholar working on Nephrology, Molecular Biology, Surgery, Immunology and Pulmonary and Respiratory Medicine, having authored 349 papers that have together received 12.9k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (47 papers), Renal Diseases and Glomerulopathies (43 papers), AI in cancer detection (29 papers), Dialysis and Renal Disease Management (14 papers), Acute Kidney Injury Research (12 papers), Microbial metabolism and enzyme function (12 papers), Renal and Vascular Pathologies (12 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). The work is most often cited by research in Nephrology (2.7k citations), Health Informatics (146 citations), Transplantation (182 citations), Immunology (1.4k citations) and Genetics (626 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, Jürgen Floege, Uta Kunter, Katarı́na Šebeková, Frank Tacke and Christian Trautwein. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, Nephrology Dialysis Transplantation, Scientific Reports and American Journal Of Pathology.
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.