Daniela Esser

4.2k citations
15 papers · 469 indexed · h-index 10

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Insect symbiosis and bacterial influences

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 2
    • Insect symbiosis and bacterial influences 2

Daniela Esser

15 papers receiving 465 citations

Peers

Daniela Esser
Comparison fields: 5 of 75
  • Aging 30
  • Insect Science 83
  • Immunology 142
  • Cell Biology 85
  • Biological Psychiatry 13
Replace Jianping Liang with:
Jianping Liang China
Israel Muro United States
Elizabeth K. Marsh United Kingdom
Ronald J. Krieser United States
Kendra Walton United States
Allison K. Timmons United States
M. Tanguy United Kingdom
Alina Garbuzov United States
Kaz Nagaosa Japan
Emily Huang United States
Daniela Esser relative to Jianping Liang China Jianping Liang's profile →
Citations per field
00.5×3.3×
Jianping Liang · 1×
Citations per year

Countries citing papers authored by Daniela Esser

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Esser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013110
2 201860
3 201757
4 201455
5 201654
6 201533
7 201929
8 202226
9 201218
10 201711
11 20237
12 20234
13 20232
14 20132
15 20131

About Daniela Esser

Daniela Esser is a scholar working on Aging, Insect Science, Cancer Research, Genetics and Molecular Biology, having authored 15 papers that have together received 469 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (3 papers), Insect symbiosis and bacterial influences (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cancer Cells and Metastasis (2 papers), Gut microbiota and health (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), RNA modifications and cancer (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Aging (30 citations), Insect Science (83 citations), Immunology (142 citations), Cell Biology (85 citations) and Biological Psychiatry (13 citations). Daniela Esser has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Philip Rosenstiel, Hinrich Schulenburg, Robert Peuß, Barbara Milutinović, Joachim Kurtz, Sarah Behrens, Γεώργιος Μαρίνος, Jenny M. Greenwood, Herbert Tilg and Michal Tomczak. Their work appears in journals such as BMC Genomics, The Journal of Cell Biology, Frontiers in Oncology, Cells and Journal of Innate Immunity.

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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