Danielle Goldfarb

15 papers receiving 252 citations

Peers

Danielle Goldfarb
Comparison fields: 5 of 64
  • Ophthalmology 49
  • Biological Psychiatry 14
  • Psychiatry and Mental health 72
  • Neurology 27
  • Radiology, Nuclear Medicine and Imaging 50
Replace Hongwei Wen with:
Hongwei Wen China
Jaisalmer de Frutos‐Lucas Spain
Anna E. Tschiffely United States
Kathryn Edelman United States
Xin You Tai United Kingdom
Joanna Róg Poland
Takashi Tsuboi Japan
Kaori Iwata Japan
Marjolein M.A. Engels Netherlands
David Cohen France
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Citations per year

Countries citing papers authored by Danielle Goldfarb

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Goldfarb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020111
2 201979
3 201912
4 20209
5 20218
6 20237
7 20237
8 20215
9 20195
10 20224
11 20193
12 20202
13 20192
14
Security Threats, Cross-Border Implications, and Canada's Long-Term Strategies
20042
15 20181
16 20190
17 20220

About Danielle Goldfarb

Danielle Goldfarb is a scholar working on Psychiatry and Mental health, Public Health, Environmental and Occupational Health, Neurology, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 257 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (5 papers), Retinal Imaging and Analysis (2 papers), Retinal Diseases and Treatments (2 papers), Palliative Care and End-of-Life Issues (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Retinal and Optic Conditions (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Travel-related health issues (1 paper). The work is most often cited by research in Ophthalmology (49 citations), Biological Psychiatry (14 citations), Psychiatry and Mental health (72 citations), Neurology (27 citations) and Radiology, Nuclear Medicine and Imaging (50 citations). Danielle Goldfarb has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Anna Burke, Jessica Alber, Edmund Arthur, Peter J. Snyder, Stephen Salloway, Louisa I. Thompson, Delia Cabrera DeBuc, Jurre den Haan, Gregory P. Van Stavern and D. Cheng. Their work appears in journals such as The Journal of Clinical Psychiatry, Alzheimer s & Dementia, Frontiers in Aging Neuroscience, Alzheimer s Research & Therapy and Journal of the Neurological Sciences.

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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