Max Werth
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Renal Diseases and Glomerulopathies
- Molecular Biology top 10%
- Renal and related cancers
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
Papers in
-
- Acute Kidney Injury Research 2
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- Renal and related cancers 6
- Ion Transport and Channel Regulation 2
- Co-authors
- Jonathan M. Barasch (5 shared papers)Shizheng Huang (1 shared paper)Ayano Kondo (1 shared paper)Katalin Suszták (1 shared paper)Rojesh Shrestha (1 shared paper)Chengxiang Qiu (1 shared paper)Mingyao Li (1 shared paper)Jihwan Park (1 shared paper)
- Journals
- Hepatology (2 papers)Journal of Clinical Investigation (2 papers)Development (2 papers)Journal of the American Society of Nephrology (2 papers)Science (1 paper)
- Partner nations
- United StatesGermanyCroatia
In The Last Decade
Max Werth
13 papers receiving 1.7k citations
Max Werth's Hit Papers
Peers
Comparison fields: 5 of 107
- Nephrology 351
- Molecular Biology 1.0k
- Urology 76
- Pediatrics, Perinatology and Child Health 191
- Cancer Research 130
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 | 804 |
| 2 | 2010 | 169 | |
| 3 | 2018 | 167 | |
| 4 | 2014 | 133 | |
| 5 | 2017 | 124 | |
| 6 | 2017 | 103 | |
| 7 | 2016 | 101 | |
| 8 | 2015 | 65 | |
| 9 | 2015 | 55 | |
| 10 | 2005 | 21 | |
| 11 | 2006 | 16 | |
| 12 | 2020 | 4 | |
| 13 | 2014 | 2 |
About Max Werth
Max Werth is a scholar working on Nephrology, Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics and Surgery, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal and related cancers (6 papers), Pancreatic function and diabetes (2 papers), Prenatal Screening and Diagnostics (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Ion Transport and Channel Regulation (2 papers), Acute Kidney Injury Research (2 papers), Pediatric Urology and Nephrology Studies (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Nephrology (351 citations), Molecular Biology (1.0k citations), Urology (76 citations), Pediatrics, Perinatology and Child Health (191 citations) and Cancer Research (130 citations). Max Werth has collaborated with scholars based in United States, Germany and Croatia. Frequent co-authors include Jonathan M. Barasch, Shizheng Huang, Ayano Kondo, Katalin Suszták, Rojesh Shrestha, Chengxiang Qiu, Mingyao Li, Jihwan Park, Kai Martin Schmidt-Ott and Katharina Walentin. Their work appears in journals such as Hepatology, Journal of Clinical Investigation, Development, 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.