Daniel Ence

1.7k citations
7 papers · 756 indexed · 1 hit paper · h-index 5

Impact in

    • Species Distribution and Climate Change
  • Genetics top 10%
    • Genetic diversity and population structure
    • Insect and Arachnid Ecology and Behavior

Papers in

Daniel Ence

7 papers receiving 738 citations

Hit Papers

Multi-omics data integration identifies novel biomarkers and patient subgroups in inflammatory bowel disease 2025 · 13 citations
13202520264812

Peers

Daniel Ence
Comparison fields: 5 of 73
  • Ecological Modeling 58
  • Genetics 292
  • Ecology, Evolution, Behavior and Systematics 149
  • Molecular Biology 439
  • Insect Science 76
Replace Ying Zhen with:
Ying Zhen United States
Stefan Laurent Germany
Rémi Allio France
Brendan L. O’Connell United States
Deborah A. Triant United States
Angel G. Rivera‐Colón United States
Concetta Burgarella France
Rebecca A. Chong United States
Pablo Duchen Germany
J. Cristobal Vera United States
Daniel Ence relative to Ying Zhen United States Ying Zhen's profile →
Citations per field
00.5×1.5×2.1×
Ying Zhen · 1×
Citations per year

Countries citing papers authored by Daniel Ence

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2012395
2 2010192
3 2014145
4
Multi-omics data integration identifies novel biomarkers and patient subgroups in inflammatory bowel disease
Hit paper breakdown →
202513
5 20218
6 20232
7 20221

About Daniel Ence

Daniel Ence is a scholar working on Genetics, Nature and Landscape Conservation, Molecular Biology, Computational Theory and Mathematics and Plant Science, having authored 7 papers that have together received 756 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), RNA and protein synthesis mechanisms (2 papers), Genetic diversity and population structure (2 papers), Plant Disease Resistance and Genetics (1 paper), Plant and animal studies (1 paper), Inflammatory Bowel Disease (1 paper), Plant-Microbe Interactions and Immunity (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Ecological Modeling (58 citations), Genetics (292 citations), Ecology, Evolution, Behavior and Systematics (149 citations), Molecular Biology (439 citations) and Insect Science (76 citations). Daniel Ence has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Mark Yandell, Bryan C. Carstens, Johannes Stökl, Jan Oettler, Lukas Schrader, Aleksey V. Zimin, Carsten Kemena, Eva Schultner, Jay W. Kim and Christopher D. Smith. Their work appears in journals such as G3 Genes Genomes Genetics, Journal of Crohn s and Colitis, Molecular Ecology Resources, Nature Communications and BMC Bioinformatics.

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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