Max Werth
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- Renal and related cancers
- Epigenetics and DNA Methylation
- Ion Transport and Channel Regulation
Papers in
-
- Renal and related cancers 4
- Ion Transport and Channel Regulation 2
- Wnt/β-catenin signaling in development and cancer 2
- Epigenetics and DNA Methylation 1
- Genetics 3
- Genetic and Kidney Cyst Diseases 2
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Jonathan Barasch (5 shared papers)Rojesh Shrestha (1 shared paper)Katalin Suszták (1 shared paper)Jihwan Park (1 shared paper)Ayano Kondo (1 shared paper)Shizheng Huang (1 shared paper)Chengxiang Qiu (1 shared paper)Mingyao Li (1 shared paper)
- Journals
- Hepatology (3 papers)Development (2 papers)Journal of the American Society of Nephrology (1 paper)eLife (1 paper)Nephrology Dialysis Transplantation (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Max Werth
8 papers receiving 1.1k citations
Max Werth's Hit Papers
Peers
Comparison fields: 5 of 99
- Nephrology 178
- Molecular Biology 768
- Cancer Research 117
- Immunology 111
- Genetics 145
Countries citing papers authored by Max Werth
This map shows the geographic impact of Max Werth'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 Max Werth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Werth more than expected).
Fields of papers citing papers by Max Werth
This network shows the impact of papers produced by Max Werth. 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 Max Werth. The network helps show where Max Werth may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Werth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease Hit paper breakdown → | 2018 | 721 |
| 2 | 2010 | 168 | |
| 3 | 2017 | 90 | |
| 4 | 2015 | 63 | |
| 5 | 2015 | 57 | |
| 6 | 2005 | 22 | |
| 7 | 2006 | 16 | |
| 8 | 2007 | 1 | |
| 9 | 2020 | 0 |
About Max Werth
Max Werth is a scholar working on Molecular Biology, Genetics, Surgery, Nephrology and Pathology and Forensic Medicine, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal and related cancers (4 papers), Ion Transport and Channel Regulation (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Pancreatic function and diabetes (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Nephrology (178 citations), Molecular Biology (768 citations), Cancer Research (117 citations), Immunology (111 citations) and Genetics (145 citations). Max Werth has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jonathan Barasch, Rojesh Shrestha, Katalin Suszták, Jihwan Park, Ayano Kondo, Shizheng Huang, Chengxiang Qiu, Mingyao Li, Kai M. Schmidt‐Ott and Katharina Walentin. Their work appears in journals such as Hepatology, Development, Journal of the American Society of Nephrology, eLife and Nephrology Dialysis Transplantation.
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.