Fred Sinowatz

240 papers receiving 6.9k citations

Peers

Fred Sinowatz
Comparison fields: 5 of 142
  • Reproductive Medicine 1.7k
  • Agronomy and Crop Science 1.7k
  • Immunology 1.6k
  • Public Health, Environmental and Occupational Health 2.0k
  • Equine 92
Replace Rebecca L. Robker with:
Rebecca L. Robker Australia
Henry N. Jabbour United Kingdom
Lane K. Christenson United States
Geula Gibori United States
Darryl L. Russell Australia
Jock K. Findlay Australia
Takahide Mori Japan
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Citations per field
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Citations per year

Countries citing papers authored by Fred Sinowatz

Since Specialization
Citations

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

Fields of papers citing papers by Fred Sinowatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 247 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004368
2 2009247
3 1995220
4 2005199
5 2006186
6 2005148
7 2003144
8 2005126
9 1980120
10 2003116
11 1993114
12 2008103
13 2001101
14 200598
15 200290
16 200684
17 201284
18 199983
19
Reverse lectin histochemistry: design and application of glycoligands for detection of cell and tissue lectins.
199381
20 199880

About Fred Sinowatz

Fred Sinowatz is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Reproductive Medicine and Genetics, having authored 247 papers that have together received 7.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (67 papers), Reproductive Physiology in Livestock (64 papers), Sperm and Testicular Function (51 papers), Reproductive System and Pregnancy (22 papers), Growth Hormone and Insulin-like Growth Factors (22 papers), Glycosylation and Glycoproteins Research (21 papers), Animal Genetics and Reproduction (20 papers) and Galectins and Cancer Biology (17 papers). The work is most often cited by research in Reproductive Medicine (1.7k citations), Agronomy and Crop Science (1.7k citations), Immunology (1.6k citations), Public Health, Environmental and Occupational Health (2.0k citations) and Equine (92 citations). Fred Sinowatz has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Eckhard Wolf, Sabine Kölle, Bajram Berisha, W. Amselgruber, G.A. Palma, Hans‐Joachim Gabius, Armin E. Friess, D. Schams, Susanne E. Ulbrich and Stefan Bauersachs. Their work appears in journals such as Cell and Tissue Research, Cells Tissues Organs, Biology of Reproduction, Histochemistry and Cell Biology and Reproduction.

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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