Katy Schmidt

1.6k citations
40 papers · 1.2k · h-index 18

Impact in

Papers in

    • RNA Research and Splicing 3
    • Extracellular vesicles in disease 3
    • Genomics and Chromatin Dynamics 3
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
    • Animal Genetics and Reproduction 5

Katy Schmidt

38 papers receiving 1.2k citations

Peers

Katy Schmidt
Comparison fields: 5 of 100
  • Cell Biology 284
  • Reproductive Medicine 76
  • Molecular Biology 657
  • Genetics 257
  • Physiology 34
Replace Claudia Baumann with:
Claudia Baumann United States
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Patrizia Romani Italy
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Chantal Kress France
Shungo Adachi Japan
Atsutaka Kubosaki Japan
H Sugino Japan
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Rubén Marín‐Juez Germany
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Citations per field
00.5×1.5×2.4×
Claudia Baumann · 1×
Citations per year

Countries citing papers authored by Katy Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Katy Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008146
2 2001143
3 2009132
4 200391
5 201976
6 200574
7 201853
8 200653
9 200946
10 201845
11 201433
12 200730
13 201528
14 201321
15 201219
16 202218
17 202217
18 202117
19 201414
20 202313

About Katy Schmidt

Katy Schmidt is a scholar working on Molecular Biology, Genetics, Cell Biology, Surgery and Epidemiology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Animal Genetics and Reproduction (5 papers), Calcium signaling and nucleotide metabolism (3 papers), RNA Research and Splicing (3 papers), Trypanosoma species research and implications (3 papers), Extracellular vesicles in disease (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cell Biology (284 citations), Reproductive Medicine (76 citations), Molecular Biology (657 citations), Genetics (257 citations) and Physiology (34 citations). Katy Schmidt has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Michael Wegner, David Stephens, Elisabeth Sock, Paul Verkade, Michael R. Bösl, Anna K. Townley, Yi Feng, Robert P. Porter, Olaf Rosorius and G. Glaser. Their work appears in journals such as Journal of Cell Science, Molecular and Cellular Biology, International Journal of Molecular Sciences, Journal of Anatomy and Cells.

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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