Max Werth
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Molecular Biology top 10%
- Renal and related cancers
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Ion Transport and Channel Regulation
Papers in
-
- Renal and related cancers 4
- Wnt/β-catenin signaling in development and cancer 2
- Single-cell and spatial transcriptomics 1
- Metabolism, Diabetes, and Cancer 1
- Connexins and lens biology 1
- Genetics 3
- Genetic and Kidney Cyst Diseases 2
- Co-authors
- Jonathan Barasch (5 shared papers)Mingyao Li (1 shared paper)Jihwan Park (1 shared paper)Chengxiang Qiu (1 shared paper)Rojesh Shrestha (1 shared paper)Shizheng Huang (1 shared paper)Ayano Kondo (1 shared paper)Katalin Suszták (1 shared paper)
- Journals
- Hepatology (3 papers)Development (2 papers)eLife (1 paper)Journal of the American Society of Nephrology (1 paper)Science (1 paper)
- Partner nations
- GermanyUnited StatesNorway
In The Last Decade
Max Werth
8 papers receiving 1.1k citations
Max Werth's Hit Papers
Peers
Comparison fields: 5 of 101
- Nephrology 194
- Molecular Biology 803
- Cancer Research 134
- Aging 10
- Immunology 120
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 | 698 |
| 2 | 2010 | 159 | |
| 3 | 2017 | 89 | |
| 4 | 2015 | 62 | |
| 5 | 2015 | 55 | |
| 6 | 2005 | 19 | |
| 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), Renal Diseases and Glomerulopathies (2 papers), Pancreatic function and diabetes (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Single-cell and spatial transcriptomics (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Connexins and lens biology (1 paper). The work is most often cited by research in Nephrology (194 citations), Molecular Biology (803 citations), Cancer Research (134 citations), Aging (10 citations) and Immunology (120 citations). Max Werth has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Jonathan Barasch, Mingyao Li, Jihwan Park, Chengxiang Qiu, Rojesh Shrestha, Shizheng Huang, Ayano Kondo, Katalin Suszták, Kai M. Schmidt‐Ott and Katharina Walentin. Their work appears in journals such as Hepatology, Development, eLife, Journal of the American Society of Nephrology and Science.
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.