René Bartz
Impact in
- Biochemistry top 0.1%
- Lipid metabolism and biosynthesis
- Nephrology top 5%
- Parathyroid Disorders and Treatments
Papers in
-
- Lipid metabolism and biosynthesis 9
-
- Cellular transport and secretion 3
- Caveolin-1 and cellular processes 1
- Co-authors
- Richard G.W. Anderson (7 shared papers)Pingsheng Liu (9 shared papers)John K. Zehmer (8 shared papers)Abhimanyu Garg (2 shared papers)Anil K. Agarwal (2 shared papers)Ginette Serrero (3 shared papers)Weiping Li (2 shared papers)Derk D. Binns (1 shared paper)
- Journals
- Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)Journal of Cell Science (2 papers)International Journal of Cancer (2 papers)Kidney International (1 paper)Molecular Therapy — Nucleic Acids (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
René Bartz
26 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 71
- Biochemistry 912
- Nephrology 201
- Cell Biology 120
- Aging 10
- Molecular Biology 357
Countries citing papers authored by René Bartz
This map shows the geographic impact of René Bartz'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 René Bartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René Bartz more than expected).
Fields of papers citing papers by René Bartz
This network shows the impact of papers produced by René Bartz. 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 René Bartz. The network helps show where René Bartz may publish in the future.
Co-authors
The 25 scholars most cited alongside René Bartz, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 527 | |
| 2 | 2007 | 405 | |
| 3 | 2016 | 304 | |
| 4 | 2007 | 270 | |
| 5 | 2007 | 156 | |
| 6 | 2009 | 105 | |
| 7 | 2008 | 104 | |
| 8 | 2010 | 70 | |
| 9 | 2019 | 68 | |
| 10 | 2011 | 58 | |
| 11 | 2018 | 46 | |
| 12 | 2007 | 45 | |
| 13 | 2017 | 44 | |
| 14 | 2007 | 40 | |
| 15 | 2019 | 35 | |
| 16 | 2008 | 32 | |
| 17 | 2018 | 27 | |
| 18 | 2007 | 26 | |
| 19 | 2015 | 21 | |
| 20 | 2008 | 19 |
About René Bartz
René Bartz is a scholar working on Biochemistry, Cell Biology, Molecular Biology, Oncology and Nephrology, having authored 26 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (9 papers), RNA Interference and Gene Delivery (4 papers), Cellular transport and secretion (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Hedgehog Signaling Pathway Studies (1 paper), Fibroblast Growth Factor Research (1 paper), Parathyroid Disorders and Treatments (1 paper) and Caveolin-1 and cellular processes (1 paper). The work is most often cited by research in Biochemistry (912 citations), Nephrology (201 citations), Cell Biology (120 citations), Aging (10 citations) and Molecular Biology (357 citations). René Bartz has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Richard G.W. Anderson, Pingsheng Liu, John K. Zehmer, Abhimanyu Garg, Anil K. Agarwal, Ginette Serrero, Weiping Li, Derk D. Binns, Joel M. Goodman and Nick V. Grishin. Their work appears in journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Cell Science, International Journal of Cancer, Kidney International and Molecular Therapy — Nucleic Acids.
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.