Beat Schaefer

1.1k citations
6 papers · 138 · h-index 3

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Renal and related cancers
    • Pluripotent Stem Cells Research

Papers in

    • ATP Synthase and ATPases Research 1
    • Renal and related cancers 1
    • Pancreatic and Hepatic Oncology Research 1

Beat Schaefer

6 papers receiving 138 citations

Peers

Beat Schaefer
Comparison fields: 5 of 43
  • Nephrology 63
  • Molecular Biology 73
  • Immunology 17
  • Transplantation 2
  • Cell Biology 11
Replace Farid F. Kadyrov with:
Farid F. Kadyrov United States
Paula Fernández‐Álvarez Spain
Hiroaki Obayashi Japan
Caroline Thomée Belgium
Yutaka Tsubata Japan
Sheree Kuo United States
Tim Godfrey Australia
Jaromír Háček Czechia
Juan Alberto Piñero‐Fernández Spain
Angela R. Sabo United States
Beat Schaefer relative to Farid F. Kadyrov United States Farid F. Kadyrov's profile →
Citations per field
00.5×
Farid F. Kadyrov · 1×
Citations per year

Countries citing papers authored by Beat Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by Beat Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beat Schaefer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beat Schaefer Line = papers co-authored together Beat Schaefer links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2015100
2 201024
3 200311
4 20181
5 20171
6 20071

About Beat Schaefer

Beat Schaefer is a scholar working on Molecular Biology, Oncology, Epidemiology, Cell Biology and Cancer Research, having authored 6 papers that have together received 138 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (1 paper), Renal Diseases and Glomerulopathies (1 paper), Cystic Fibrosis Research Advances (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Cancer Genomics and Diagnostics (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), ATP Synthase and ATPases Research (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Nephrology (63 citations), Molecular Biology (73 citations), Immunology (17 citations), Transplantation (2 citations) and Cell Biology (11 citations). Beat Schaefer has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Anna Julie Peired, Maria Lucia Angelotti, Annamaria Buccoliero, Laura Lasagni, Duccio Lombardi, Alexa Burger, Francesca Becherucci, Paola Romagnani, Benedetta Mazzinghi and Elisa Ronconi. Their work appears in journals such as Cancer Research, Journal of Cystic Fibrosis, Blood, Oncogene and Stem Cell Reports.

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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