Patrick C. Baer
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Transplantation top 5%
Papers in
- Co-authors
- Helmut Geiger (36 shared papers)Ralf Schubert (29 shared papers)Stefan Gauer (7 shared papers)Martin Brzoska (3 shared papers)Stefan Zielen (13 shared papers)Jindřich Činátl (4 shared papers)Richard Schäfer (3 shared papers)Martin Michaelis (3 shared papers)
- Journals
- International Journal of Molecular Sciences (9 papers)Nephrology Dialysis Transplantation (7 papers)Cells (4 papers)Nephron Experimental Nephrology (2 papers)Cytotherapy (2 papers)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Patrick C. Baer
76 papers receiving 2.6k citations
Patrick C. Baer's Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 961
- Transplantation 64
- Nephrology 140
- Biomaterials 263
- Rehabilitation 111
Countries citing papers authored by Patrick C. Baer
This map shows the geographic impact of Patrick C. Baer'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 Patrick C. Baer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick C. Baer more than expected).
Fields of papers citing papers by Patrick C. Baer
This network shows the impact of papers produced by Patrick C. Baer. 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 Patrick C. Baer. The network helps show where Patrick C. Baer may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick C. Baer, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adipose-Derived Mesenchymal Stromal/Stem Cells: Tissue Localization, Characterization, and Heterogeneity Hit paper breakdown → | 2012 | 387 |
| 2 | 2005 | 211 | |
| 3 | 2004 | 180 | |
| 4 | 2014 | 143 | |
| 5 | 2010 | 108 | |
| 6 | 2016 | 100 | |
| 7 | 1997 | 94 | |
| 8 | 2012 | 85 | |
| 9 | 2009 | 79 | |
| 10 | 2011 | 70 | |
| 11 | 2003 | 59 | |
| 12 | 2017 | 51 | |
| 13 | 2009 | 49 | |
| 14 | 2008 | 47 | |
| 15 | 2006 | 45 | |
| 16 | 2010 | 40 | |
| 17 | 2016 | 38 | |
| 18 | 2007 | 37 | |
| 19 | 2002 | 34 | |
| 20 | 2020 | 33 |
About Patrick C. Baer
Patrick C. Baer is a scholar working on Genetics, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 77 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (22 papers), Tissue Engineering and Regenerative Medicine (17 papers), Cancer Cells and Metastasis (6 papers), Renal and related cancers (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Acute Kidney Injury Research (5 papers), Extracellular vesicles in disease (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Genetics (961 citations), Transplantation (64 citations), Nephrology (140 citations), Biomaterials (263 citations) and Rehabilitation (111 citations). Patrick C. Baer has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Helmut Geiger, Ralf Schubert, Stefan Gauer, Martin Brzoska, Stefan Zielen, Jindřich Činátl, Richard Schäfer, Martin Michaelis, Gabriele Spohn and Jürgen E. Scherberich. Their work appears in journals such as International Journal of Molecular Sciences, Nephrology Dialysis Transplantation, Cells, Nephron Experimental Nephrology and Cytotherapy.
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.