L. Rydlander

745 citations
18 papers · 683 · h-index 12

Impact in

    • Protist diversity and phylogeny
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • Cellular transport and secretion

Papers in

    • Protist diversity and phylogeny 10
    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 3
    • Cellular transport and secretion 3

L. Rydlander

17 papers receiving 636 citations

Peers

L. Rydlander
Comparison fields: 5 of 73
  • Molecular Biology 468
  • Cell Biology 89
  • Cellular and Molecular Neuroscience 67
  • Ecology 93
  • Genetics 85
Replace Mark C. Alliegro with:
Mark C. Alliegro United States
Tatsuaki Saito Japan
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Robert A. McCarthy United States
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Citations per field
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Citations per year

Countries citing papers authored by L. Rydlander

Since Specialization
Citations

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

Fields of papers citing papers by L. Rydlander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2002109
2 1971102
3 199677
4 198068
5 198068
6 198058
7 197045
8 198439
9 198235
10 197822
11 197819
12
Tissue polypeptide specific antigen (TPS) detects a specific epitope structure on human cytokeratin.
199715
13 198411
14 198310
15
Modified procedures for high resolution two dimensional electrophoresis and silver staining of proteins
19862
16
Spread of Balbiani ring derived messenger RNA in Chironomus salivary gland cell cytoplasm.
19832
17 19841
18 20090

About L. Rydlander

L. Rydlander is a scholar working on Molecular Biology, Cell Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 18 papers that have together received 683 indexed citations. Recurring topics across this work include Protist diversity and phylogeny (10 papers), Cellular transport and secretion (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), Tardigrade Biology and Ecology (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Diatoms and Algae Research (2 papers). The work is most often cited by research in Molecular Biology (468 citations), Cell Biology (89 citations), Cellular and Molecular Neuroscience (67 citations), Ecology (93 citations) and Genetics (85 citations). L. Rydlander has collaborated with scholars based in Sweden, Germany and Austria. Frequent co-authors include J. -E. Edstr�m, Ulrik Ringborg, A. Pigon, E. Egyházi, Christof Francke, Jan‐Erik Edström, Stig Linder, Maria Hägg, R. Einarsson and Maria C. Shoshan. Their work appears in journals such as Chromosoma, European Journal of Biochemistry, Cold Spring Harbor Symposia on Quantitative Biology, The Journal of Cell Biology and Biochemical Journal.

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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