Peter Neth
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Cancer Research top 5%
- MicroRNA in disease regulation
- Protease and Inhibitor Mechanisms
Papers in
- Genetics 14
- Mesenchymal stem cell research 9
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 5
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- Protease and Inhibitor Mechanisms 5
- MicroRNA in disease regulation 3
- Co-authors
- Marianne Jochum (18 shared papers)Marisa Karow (9 shared papers)Christian Ries (7 shared papers)Virginia Egea (6 shared papers)Christian Weber (3 shared papers)Helmut J. Kolb (1 shared paper)Maliheh Nazari-Jahantigh (2 shared papers)Andreas Schober (2 shared papers)
- Journals
- Biological Chemistry (7 papers)Journal of Anatomy (2 papers)The International Journal of Biochemistry & Cell Biology (2 papers)FEBS Letters (2 papers)Shock (2 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Peter Neth
33 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 101
- Genetics 606
- Cancer Research 405
- Molecular Biology 536
- Biomedical Engineering 211
- Cell Biology 73
Countries citing papers authored by Peter Neth
This map shows the geographic impact of Peter Neth'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 Neth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Neth more than expected).
Fields of papers citing papers by Peter Neth
This network shows the impact of papers produced by Peter Neth. 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 Neth. The network helps show where Peter Neth may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Neth, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 465 | |
| 2 | Characterization of osteosarcoma cell lines MG-63, Saos-2 and U-2 OS in comparison to human osteoblasts. | 2005 | 336 |
| 3 | 2013 | 188 | |
| 4 | 2006 | 136 | |
| 5 | 2012 | 123 | |
| 6 | 2013 | 116 | |
| 7 | 2007 | 100 | |
| 8 | 2014 | 83 | |
| 9 | 2010 | 76 | |
| 10 | 2005 | 71 | |
| 11 | 2013 | 65 | |
| 12 | 1997 | 47 | |
| 13 | 2007 | 40 | |
| 14 | 2009 | 39 | |
| 15 | 2004 | 38 | |
| 16 | 2011 | 38 | |
| 17 | 2005 | 36 | |
| 18 | 2007 | 29 | |
| 19 | 2008 | 29 | |
| 20 | 2001 | 27 |
About Peter Neth
Peter Neth is a scholar working on Genetics, Cancer Research, Molecular Biology, Immunology and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Protease and Inhibitor Mechanisms (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), MicroRNA in disease regulation (3 papers), Inflammation biomarkers and pathways (3 papers), Immune Response and Inflammation (3 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (606 citations), Cancer Research (405 citations), Molecular Biology (536 citations), Biomedical Engineering (211 citations) and Cell Biology (73 citations). Peter Neth has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Marianne Jochum, Marisa Karow, Christian Ries, Virginia Egea, Christian Weber, Helmut J. Kolb, Maliheh Nazari-Jahantigh, Andreas Schober, Matthias Schieker and W. Mutschler. Their work appears in journals such as Biological Chemistry, Journal of Anatomy, The International Journal of Biochemistry & Cell Biology, FEBS Letters and Shock.
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.