Daniela Esser

3.9k citations
30 papers · 2.9k · 1 hit paper · h-index 18

Impact in

  • Aging top 2%
  • Genetics top 5%
    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases

Papers in

    • Autoimmune Neurological Disorders and Treatments 6
    • Invertebrate Immune Response Mechanisms 3

Daniela Esser

30 papers receiving 2.9k citations

Daniela Esser's Hit Papers

Transcriptome and genome sequencing uncovers functional variation in humans 2013 · 1.4k citations
1.4k0+4+8Years since publication4008001.2k

Peers

Daniela Esser
Comparison fields: 5 of 93
  • Aging 62
  • Genetics 553
  • Molecular Biology 677
  • Infectious Diseases 184
  • Immunology 156
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Daniela Esser relative to Trupti Kawli United States Trupti Kawli's profile →
Citations per field
00.5×2×2.6×
Trupti Kawli · 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

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transcriptome and genome sequencing uncovers functional variation in humans
Hit paper breakdown →
20131425
2 2020246
3 2015225
4 2019219
5 2013121
6 201894
7 201672
8 201868
9 201763
10 201457
11 201848
12 202448
13 202538
14 201534
15 202233
16 201932
17 201328
18 201224
19 201711
20 202310

About Daniela Esser

Daniela Esser is a scholar working on Neurology, Immunology, Cell Biology, Aging and Genetics, having authored 30 papers that have together received 2.9k indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (6 papers), Invertebrate Immune Response Mechanisms (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Gut microbiota and health (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Aging (62 citations), Genetics (553 citations), Molecular Biology (677 citations), Infectious Diseases (184 citations) and Immunology (156 citations). Daniela Esser has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Philip C Rosenstiel, Hinrich Schulenburg Y, Joachim Kurtz, Barbara Milutinović, Robert Peuß, Sarah Behrens, Γεώργιος Μαρίνος, Jenny M. Greenwood, Andre Franke and Tim Raine. Their work appears in journals such as BMC Genomics, Immunity, Proceedings of the National Academy of Sciences, Nature Communications and JAMA Neurology.

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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