Fred Schaufele

2.9k citations
52 papers · 2.4k · h-index 31

Impact in

Papers in

    • RNA Research and Splicing 9
    • Retinoids in leukemia and cellular processes 7
    • RNA modifications and cancer 6
    • Genomics and Chromatin Dynamics 6
    • RNA and protein synthesis mechanisms 6
    • Growth Hormone and Insulin-like Growth Factors 15

Fred Schaufele

52 papers receiving 2.4k citations

Peers

Fred Schaufele
Comparison fields: 5 of 104
  • Biophysics 215
  • Endocrinology, Diabetes and Metabolism 610
  • Genetics 832
  • Molecular Biology 1.6k
  • Structural Biology 27
Replace Dawn A. Walker with:
Dawn A. Walker United States
Birgit Hoffmann Germany
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Michael A. Cahill Germany
Elisabeth Scheer France
Martin Koš Germany
Chang‐Deng Hu United States
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Citations per field
00.5×3.6×
Dawn A. Walker · 1×
Citations per year

Countries citing papers authored by Fred Schaufele

Since Specialization
Citations

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

Fields of papers citing papers by Fred Schaufele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fred Schaufele, 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 Fred Schaufele Line = papers co-authored together Fred Schaufele links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001170
2 2005161
3 1986134
4 2003127
5 2001120
6 199299
7 199083
8 199374
9 198971
10 201470
11 199570
12
Mechanisms of thyroid hormone action: insights from X-ray crystallographic and functional studies.
199869
13 200568
14 200961
15 200660
16 199458
17 200055
18 200854
19 200153
20 200849

About Fred Schaufele

Fred Schaufele is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Biophysics and Cell Biology, having authored 52 papers that have together received 2.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (15 papers), Estrogen and related hormone effects (14 papers), Advanced Fluorescence Microscopy Techniques (10 papers), RNA Research and Splicing (9 papers), Retinoids in leukemia and cellular processes (7 papers), RNA modifications and cancer (6 papers), Genomics and Chromatin Dynamics (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Biophysics (215 citations), Endocrinology, Diabetes and Metabolism (610 citations), Genetics (832 citations), Molecular Biology (1.6k citations) and Structural Biology (27 citations). Fred Schaufele has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Richard N. Day, Brian L. West, Max L. Birnstiel, John D. Baxter, Ammasi Periasamy, Peter J. Kushner, Gabriela N. Lopez, Tim L. Reudelhuber, Gregory M. Gilmartin and John D. Baxter. Their work appears in journals such as Journal of Biological Chemistry, Molecular Endocrinology, Molecular and Cellular Biology, PLoS ONE and Endocrinology.

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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