Danielle Feldman

824 citations
9 papers · 560 · h-index 6

Impact in

Papers in

    • Genetics and Neurodevelopmental Disorders 7
    • Epigenetics and DNA Methylation 2
    • Advanced biosensing and bioanalysis techniques 1
    • Signaling Pathways in Disease 1

Danielle Feldman

9 papers receiving 559 citations

Peers

Danielle Feldman
Comparison fields: 5 of 60
  • Developmental Neuroscience 73
  • Genetics 316
  • Cognitive Neuroscience 161
  • Molecular Biology 416
  • Aging 7
Replace Showming Kwok with:
Showming Kwok United States
Aaron Cheung Canada
Alina Piekna Canada
Kristin G. Beaumont United States
Angela Maria Peer Austria
Ilaria Chiaradia United Kingdom
Paula Freire-Pritchett United Kingdom
Dalyir Pretto United States
Javier Ganz Israel
Aadhya Tiwari United States
Danielle Feldman relative to Showming Kwok United States Showming Kwok's profile →
Citations per field
00.5×1.5×
Showming Kwok · 1×
Citations per year

Countries citing papers authored by Danielle Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013243
2 2017205
3 201653
4 202227
5 201014
6 201812
7 20233
8 20112
9 20171

About Danielle Feldman

Danielle Feldman is a scholar working on Genetics, Molecular Biology, Occupational Therapy, Clinical Psychology and Cognitive Neuroscience, having authored 9 papers that have together received 560 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (7 papers), Epigenetics and DNA Methylation (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), MicroRNA in disease regulation (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Signaling Pathways in Disease (1 paper), Maternal and Perinatal Health Interventions (1 paper) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Developmental Neuroscience (73 citations), Genetics (316 citations), Cognitive Neuroscience (161 citations), Molecular Biology (416 citations) and Aging (7 citations). Danielle Feldman has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Mriganka Sur, Showming Kwok, Rudolf Jaenisch, Yun Li, Abhishek Banerjee, Stephanie Chou, Jacque Pak Kan Ip, Maisam Mitalipova, Richard A. Young and Jakob Lovén. Their work appears in journals such as Molecular Psychiatry, Obstetrics and Gynecology, The Journal of Immunology, Cell stem cell and eLife.

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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