Daria E. Siekhaus

1.3k citations
31 papers · 897 · h-index 18

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion

Papers in

Daria E. Siekhaus

31 papers receiving 887 citations

Peers

Daria E. Siekhaus
Comparison fields: 5 of 81
  • Aging 55
  • Cell Biology 309
  • Immunology 274
  • Cellular and Molecular Neuroscience 197
  • Immunology and Allergy 46
Replace Michelle Starz‐Gaiano with:
Michelle Starz‐Gaiano United States
Kálmán Somogyi Germany
Rita Sinka Hungary
Makoto Nakamura Japan
Chrysoula Pitsouli Cyprus
Huaiyu Sun United States
Anthea Letsou United States
Anthony M. Brumby Australia
Kate Koles United States
Jeanette E. Natzle United States
Daria E. Siekhaus relative to Michelle Starz‐Gaiano United States Michelle Starz‐Gaiano's profile →
Citations per field
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Michelle Starz‐Gaiano · 1×
Citations per year

Countries citing papers authored by Daria E. Siekhaus

Since Specialization
Citations

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

Fields of papers citing papers by Daria E. Siekhaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daria E. Siekhaus. 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 Daria E. Siekhaus. The network helps show where Daria E. Siekhaus may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006101
2 201792
3 201061
4 199959
5 201955
6 201549
7 200048
8 201146
9 201841
10 200340
11 200337
12 201430
13 202224
14 201822
15 201920
16 202020
17 202219
18 202218
19 201817
20 201716

About Daria E. Siekhaus

Daria E. Siekhaus is a scholar working on Molecular Biology, Cell Biology, Immunology, Cellular and Molecular Neuroscience and Physiology, having authored 31 papers that have together received 897 indexed citations. Recurring topics across this work include Cellular transport and secretion (12 papers), Invertebrate Immune Response Mechanisms (9 papers), Neurobiology and Insect Physiology Research (7 papers), Retinal Development and Disorders (5 papers), Fungal and yeast genetics research (4 papers), Calcium signaling and nucleotide metabolism (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Aging (55 citations), Cell Biology (309 citations), Immunology (274 citations), Cellular and Molecular Neuroscience (197 citations) and Immunology and Allergy (46 citations). Daria E. Siekhaus has collaborated with scholars based in Austria, United States and Japan. Frequent co-authors include Ruth Lehmann, Robert S. Fuller, Prabhat S. Kunwar, Jiro Toshima, Junko Y. Toshima, Aparna Ratheesh, Makoto Nagano, Attila Gyoergy, David G. Drubin and Martin Haesemeyer. Their work appears in journals such as eLife, Developmental Cell, Journal of Cell Science, Journal of Neuroscience and Nature Cell 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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