Fred Sablitzky

4.2k citations
49 papers · 3.6k · h-index 30

Impact in

Papers in

    • Cancer-related gene regulation 5
    • Glycosylation and Glycoproteins Research 4
    • RNA Research and Splicing 4
    • Ubiquitin and proteasome pathways 3
    • T-cell and B-cell Immunology 13
    • Immune Cell Function and Interaction 5

Fred Sablitzky

48 papers receiving 3.5k citations

Peers

Fred Sablitzky
Comparison fields: 5 of 98
  • Immunology 1.2k
  • Radiology, Nuclear Medicine and Imaging 664
  • Molecular Biology 2.0k
  • Developmental Neuroscience 110
  • Reproductive Medicine 187
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Citations per year

Countries citing papers authored by Fred Sablitzky

Since Specialization
Citations

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

Fields of papers citing papers by Fred Sablitzky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998380
2 1988256
3 1996250
4 1994247
5 1997217
6 1987199
7 1993193
8 2017160
9 1985136
10 1984109
11 2009107
12 200490
13 200675
14
Stage- and subcellular-specific expression of Id proteins in male germ and Sertoli cells implicates distinctive regulatory roles for Id proteins during meiosis, spermatogenesis, and Sertoli cell function.
199871
15 200564
16 200663
17 200663
18 200561
19 201060
20
Mutually exclusive expression of two dominant-negative helix-loop-helix (dnHLH) genes, Id4 and Id3, in the developing brain of the mouse suggests distinct regulatory roles of these dnHLH proteins during cellular proliferation and differentiation of the nervous system.
199559

About Fred Sablitzky

Fred Sablitzky is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Genetics, having authored 49 papers that have together received 3.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Cancer-related gene regulation (5 papers), Immune Cell Function and Interaction (5 papers), Zebrafish Biomedical Research Applications (5 papers), Glycosylation and Glycoproteins Research (4 papers), RNA Research and Splicing (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Immunology (1.2k citations), Radiology, Nuclear Medicine and Imaging (664 citations), Molecular Biology (2.0k citations), Developmental Neuroscience (110 citations) and Reproductive Medicine (187 citations). Fred Sablitzky has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Klaus Rajewsky, Veit Riechmann, Richard W. Deed, John D. Norton, Matthias Serwe, Graham Craggs, Andreas Radbruch, Ana Cumano, Deborah Allen and Michael Reth. Their work appears in journals such as The EMBO Journal, Blood, Development, Nucleic Acids Research and Developmental Biology.

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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