Danielle Wasserman

19 papers receiving 277 citations

Peers

Danielle Wasserman
Comparison fields: 5 of 58
  • Experimental and Cognitive Psychology 61
  • Cognitive Neuroscience 86
  • Psychiatry and Mental health 53
  • Endocrine and Autonomic Systems 22
  • Neurology 37
Replace Kumi Kato-Nishimura with:
Kumi Kato-Nishimura Japan
Denise R. LaBelle United States
Teofilo Lee-Chiong United States
A. Zoghlami Austria
Katarzyna Nowakowska‐Domagała Poland
Laura Lunt United Kingdom
Michael Seyffert United States
Kristina E. Patrick United States
Erin M. Warriner Canada
Senem Eren Australia
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Citations per field
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Kumi Kato-Nishimura · 1×
Citations per year

Countries citing papers authored by Danielle Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202080
2 202131
3 201730
4 199020
5 201417
6 201717
7 202315
8 202214
9 202112
10 202010
11 20247
12 20216
13 19965
14 20225
15 20234
16 20203
17 20252
18 20251
19 20141

About Danielle Wasserman

Danielle Wasserman is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Psychiatry and Mental health, Neurology and Clinical Psychology, having authored 19 papers that have together received 280 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (7 papers), Sleep and related disorders (4 papers), Obstructive Sleep Apnea Research (2 papers), Psychosomatic Disorders and Their Treatments (2 papers), Neuroscience of respiration and sleep (2 papers), Mental Health Treatment and Access (2 papers), Hallucinations in medical conditions (1 paper) and Restless Legs Syndrome Research (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (61 citations), Cognitive Neuroscience (86 citations), Psychiatry and Mental health (53 citations), Endocrine and Autonomic Systems (22 citations) and Neurology (37 citations). Danielle Wasserman has collaborated with scholars based in United Kingdom, Israel and United States. Frequent co-authors include Moshe Herskovitz, Valentina Gnoni, Laura Pérez‐Carbonell, Joerg Steier, Simon Durrant, Anna Weighall, Jason Ellis, Ivana Rosenzweig, Orna Geyer and Moshé Lazar. Their work appears in journals such as European Psychiatry, Journal of Clinical Sleep Medicine, Journal of Sleep Research, Epilepsy & Behavior and Gastrointestinal Endoscopy.

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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