Connor Douglas

839 citations
10 papers · 361 · h-index 9

Impact in

Papers in

    • Epigenetics and DNA Methylation 3
    • Single-cell and spatial transcriptomics 2
    • Genetic Syndromes and Imprinting 2
    • Genetic Associations and Epidemiology 1

Connor Douglas

10 papers receiving 358 citations

Peers

Connor Douglas
Comparison fields: 5 of 84
  • Developmental Neuroscience 60
  • Biological Psychiatry 20
  • Neurology 56
  • Molecular Biology 206
  • Genetics 79
Replace Michael J. Spinetta with:
Michael J. Spinetta United States
Takeo Machida Japan
Shahad Albadri France
Roseline Poirier France
Andrew D. Bolton United States
Katherine E. Kight United States
Dirk‐Jan Saaltink Netherlands
Carole Deyts France
Svetlana Semenova Finland
Daniel Hoops Canada
Connor Douglas relative to Michael J. Spinetta United States Michael J. Spinetta's profile →
Citations per field
00.5×6.9×
Michael J. Spinetta · 1×
Citations per year

Countries citing papers authored by Connor Douglas

Since Specialization
Citations

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

Fields of papers citing papers by Connor Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202195
2 201969
3 202162
4 201943
5 201630
6 201723
7 202114
8 202111
9 202111
10 20133

About Connor Douglas

Connor Douglas is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Cognitive Neuroscience and Nature and Landscape Conservation, having authored 10 papers that have together received 361 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Single-cell and spatial transcriptomics (2 papers), Genetic Syndromes and Imprinting (2 papers), Plant and animal studies (1 paper), Genetic Associations and Epidemiology (1 paper), Species Distribution and Climate Change (1 paper), Cell Image Analysis Techniques (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (60 citations), Biological Psychiatry (20 citations), Neurology (56 citations), Molecular Biology (206 citations) and Genetics (79 citations). Connor Douglas has collaborated with scholars based in United States, Japan and Mexico. Frequent co-authors include Geneviève Konopka, Stefano Berto, Fatma Ayhan, Bradley Lega, Noriyoshi Usui, Ashwinikumar Kulkarni, Todd M. Preuss, Karthigayini Sivaprakasam, Isabel Mendizabal and Soojin V. Yi. Their work appears in journals such as Genes & Development, Systematic Botany, Nature Communications, Nature Neuroscience and Genome 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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