Franz Schaefer

679 total citations
9 papers, 448 citations indexed

About

Franz Schaefer is a scholar working on Nephrology, Molecular Biology and Genetics. According to data from OpenAlex, Franz Schaefer has authored 9 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Franz Schaefer's work include Genetic and Kidney Cyst Diseases (3 papers), Dialysis and Renal Disease Management (3 papers) and Metabolism and Genetic Disorders (2 papers). Franz Schaefer is often cited by papers focused on Genetic and Kidney Cyst Diseases (3 papers), Dialysis and Renal Disease Management (3 papers) and Metabolism and Genetic Disorders (2 papers). Franz Schaefer collaborates with scholars based in Germany, Italy and France. Franz Schaefer's co-authors include Karlijn J. van Stralen, Kitty J. Jager, Enrico Verrina, E. Jane Tizard, Otto Mehls, Stefanie Weber, Sevinç Emre, Ayşı̇n Bakkaloğlu, Jessica Sullivan-Brown and Aleksandra Żurowska and has published in prestigious journals such as Kidney International, Journal of the American Society of Nephrology and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Franz Schaefer

7 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franz Schaefer Germany 7 207 180 155 82 71 9 448
G Capodicasa Italy 10 55 0.3× 47 0.3× 225 1.5× 74 0.9× 24 0.3× 42 369
Przemysław Sikora Poland 14 165 0.8× 173 1.0× 165 1.1× 265 3.2× 18 0.3× 60 531
Aurélia Bertholet‐Thomas France 13 130 0.6× 215 1.2× 198 1.3× 206 2.5× 18 0.3× 67 574
Mithat Büyükçelik Türkiye 11 119 0.6× 96 0.5× 152 1.0× 73 0.9× 5 0.1× 28 364
Miyuki Kohno Japan 11 67 0.3× 47 0.3× 21 0.1× 73 0.9× 12 0.2× 35 362
Naoto Nishizaki Japan 10 73 0.4× 80 0.4× 150 1.0× 61 0.7× 19 0.3× 45 369
Marie-Josèphe Tête France 8 81 0.4× 235 1.3× 173 1.1× 53 0.6× 20 0.3× 15 487
Simon Waller United Kingdom 15 110 0.5× 99 0.6× 263 1.7× 68 0.8× 8 0.1× 25 458
Kiyohide Sakai Japan 11 53 0.3× 178 1.0× 57 0.4× 104 1.3× 5 0.1× 40 408
Arundhati S. Kale United States 10 28 0.1× 65 0.4× 196 1.3× 72 0.9× 8 0.1× 13 322

Countries citing papers authored by Franz Schaefer

Since Specialization
Citations

This map shows the geographic impact of Franz Schaefer'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 Franz Schaefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franz Schaefer more than expected).

Fields of papers citing papers by Franz Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franz Schaefer. 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 Franz Schaefer. The network helps show where Franz Schaefer may publish in the future.

Co-authorship network of co-authors of Franz Schaefer

This figure shows the co-authorship network connecting the top 25 collaborators of Franz Schaefer. A scholar is included among the top collaborators of Franz Schaefer 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 Franz Schaefer. Franz Schaefer 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.
Martens, Helge, Norman D. Rosenblum, Andreas Schedl, et al.. (2025). Molecular pathways of kidney development and their applications to clinical research. Kidney International. 109(2). 287–296.
2.
Schaefer, Franz, Enrique Morales, Luca Antonucci, et al.. (2024). #1196 C3G and ic-MPGN across the life span: findings from the European Rare Kidney Disease Registry. Nephrology Dialysis Transplantation. 39(Supplement_1).
3.
Stralen, Karlijn J. van, C. Wanner, Gema Ariceta, et al.. (2014). Renal replacement therapy for rare diseases affecting the kidney: an analysis of the ERA-EDTA Registry. Nephrology Dialysis Transplantation. 29(suppl 4). iv1–iv8. 47 indexed citations
4.
Stralen, Karlijn J. van, E. Jane Tizard, Enrico Verrina, Franz Schaefer, & Kitty J. Jager. (2010). Demographics of paediatric renal replacement therapy in Europe: 2007 annual report of the ESPN/ERA-EDTA registry. Pediatric Nephrology. 25(7). 1379–1382. 98 indexed citations
5.
Weber, Stefanie, Paul J.D. Winyard, Jessica Sullivan-Brown, et al.. (2008). SIX2 and BMP4 Mutations Associate With Anomalous Kidney Development. Journal of the American Society of Nephrology. 19(5). 891–903. 150 indexed citations
6.
Sperandio, Markus, Lutz W. D. Weber, A. Jauch, et al.. (2000). Cutaneous white spots in a child with polycystic kidneys: a clue to TSC2/PKD1 gene mutation. Nephrology Dialysis Transplantation. 15(6). 909–912. 8 indexed citations
7.
Schaefer, Franz. (1999). Dialysis in neonates with inborn errors of metabolism. Nephrology Dialysis Transplantation. 14(4). 910–918. 105 indexed citations
8.
Cavarape, Alessandro, et al.. (1999). ANG II- and TxA2-induced mesenteric vasoconstriction in rats is mediated by separate cell signaling pathways. American Journal of Physiology-Heart and Circulatory Physiology. 277(1). H1–H7. 17 indexed citations
9.
Schaefer, Franz, Börje Haraldsson, Susanne Haas, et al.. (1998). Estimation of peritoneal mass transport by three-pore model in children. Kidney International. 54(4). 1372–1379. 23 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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