Max Werth

2.4k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Max Werth is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Max Werth has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Max Werth's work include Renal and related cancers (4 papers), Genetic and Kidney Cyst Diseases (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Max Werth is often cited by papers focused on Renal and related cancers (4 papers), Genetic and Kidney Cyst Diseases (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Max Werth collaborates with scholars based in Germany, United States and Switzerland. Max Werth's co-authors include Jonathan Barasch, Ayano Kondo, Rojesh Shrestha, Jihwan Park, Mingyao Li, Chengxiang Qiu, Shizheng Huang, Katalin Suszták, Kai M. Schmidt‐Ott and Katharina Walentin and has published in prestigious journals such as Science, Development and Hepatology.

In The Last Decade

Max Werth

8 papers receiving 1.1k citations

Hit Papers

Single-cell transcriptomics of the mouse kidney reveals p... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Max Werth Germany 7 803 194 156 134 134 9 1.1k
Erinn L. Donnelly United States 9 863 1.1× 263 1.4× 90 0.6× 241 1.8× 128 1.0× 14 1.3k
Jennifer L. Fiori United States 17 542 0.7× 140 0.7× 195 1.3× 242 1.8× 69 0.5× 19 1.1k
Noriko Mizusawa Japan 21 440 0.5× 84 0.4× 90 0.6× 62 0.5× 126 0.9× 41 999
Consuelo González‐Manchón Spain 18 536 0.7× 51 0.3× 165 1.1× 151 1.1× 90 0.7× 61 1.2k
Essam Al‐Sabban Saudi Arabia 10 911 1.1× 377 1.9× 107 0.7× 175 1.3× 57 0.4× 30 1.5k
Liesbeth H.P. Hekking Netherlands 19 340 0.4× 306 1.6× 53 0.3× 112 0.8× 69 0.5× 30 1.2k
Wanda E. Filipiak United States 8 407 0.5× 528 2.7× 234 1.5× 50 0.4× 34 0.3× 11 906
Hideaki Tanaka Japan 15 344 0.4× 130 0.7× 41 0.3× 84 0.6× 52 0.4× 39 995
Yutaka Harita Japan 19 427 0.5× 455 2.3× 156 1.0× 100 0.7× 19 0.1× 66 934
John Broxholme United Kingdom 16 465 0.6× 62 0.3× 258 1.7× 46 0.3× 48 0.4× 25 898

Countries citing papers authored by Max Werth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Max Werth

This figure shows the co-authorship network connecting the top 25 collaborators of Max Werth. A scholar is included among the top collaborators of Max Werth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Max Werth. Max Werth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Klämbt, Verena, Max Werth, Thomas M. Kitzler, et al.. (2020). Mutations in transcription factor CP2-like 1 may cause a novel syndrome with distal renal tubulopathy in humans. Nephrology Dialysis Transplantation. 36(2). 237–246.
2.
Park, Jihwan, Rojesh Shrestha, Chengxiang Qiu, et al.. (2018). Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease. Science. 360(6390). 758–763. 698 indexed citations breakdown →
3.
Werth, Max, Kai M. Schmidt‐Ott, Thomas Leete, et al.. (2017). Transcription factor TFCP2L1 patterns cells in the mouse kidney collecting ducts. eLife. 6. 89 indexed citations
4.
Hinze, Christian, Katharina Walentin, Max Werth, et al.. (2015). A Grainyhead-Like 2/Ovo-Like 2 Pathway Regulates Renal Epithelial Barrier Function and Lumen Expansion. Journal of the American Society of Nephrology. 26(11). 2704–2715. 62 indexed citations
5.
Walentin, Katharina, Christian Hinze, Max Werth, et al.. (2015). A Grhl2-dependent gene network controls trophoblast branching morphogenesis. Development. 142(6). 1125–1136. 55 indexed citations
6.
Werth, Max, Katharina Walentin, Jörg Schönheit, et al.. (2010). The transcription factor grainyhead-like 2 regulates the molecular composition of the epithelial apical junctional complex. Development. 137(22). 3835–3845. 159 indexed citations
7.
Werth, Max, Frank Gaunitz, & Rolf Gebhardt. (2007). Reply. Hepatology. 45(4). 1083–1083. 1 indexed citations
8.
Werth, Max, Rolf Gebhardt, & Frank Gaunitz. (2006). Hepatic expression of glutamine synthetase in rats is controlled by STAT5 and TCF transcription factors†. Hepatology. 44(4). 967–975. 16 indexed citations
9.
Gaunitz, Frank, Danilo Deichsel, Kerstin Heise, et al.. (2005). An intronic silencer element is responsible for specific zonal expression of glutamine synthetase in the rat liver†. Hepatology. 41(6). 1225–1232. 19 indexed citations

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.

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