Danielle Abi‐Saab

1.4k citations
36 papers · 1.1k · h-index 13

Impact in

Papers in

Danielle Abi‐Saab

35 papers receiving 1.1k citations

Peers

Danielle Abi‐Saab
Comparison fields: 5 of 77
  • Biological Psychiatry 302
  • Cellular and Molecular Neuroscience 451
  • Pharmacology 383
  • Psychiatry and Mental health 273
  • Cognitive Neuroscience 290
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Morozova Ma Russia
Don Goff United States
C H van Dyck United States
Sylvain Grignon Canada
M.D.C. Simpson United Kingdom
Chih‐Chia Huang Taiwan
N.R. Burton United Kingdom
Dennis Deptula United States
W. Schmid‐Burgk Switzerland
Katherine L. Nicholson United States
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Abi‐Saab

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Abi‐Saab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999191
2 2019158
3 2000149
4 1998147
5 200087
6 201473
7 201264
8 202144
9 202131
10 201527
11 200519
12 199516
13 199713
14 201411
15 19959
16 20189
17 20179
18 20058
19 20186
20 20185

About Danielle Abi‐Saab

Danielle Abi‐Saab is a scholar working on Molecular Biology, Psychiatry and Mental health, Pharmacology, Biological Psychiatry and Cognitive Neuroscience, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Tryptophan and brain disorders (7 papers), Schizophrenia research and treatment (7 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers), Treatment of Major Depression (7 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Memory and Neural Mechanisms (4 papers) and Dementia and Cognitive Impairment Research (4 papers). The work is most often cited by research in Biological Psychiatry (302 citations), Cellular and Molecular Neuroscience (451 citations), Pharmacology (383 citations), Psychiatry and Mental health (273 citations) and Cognitive Neuroscience (290 citations). Danielle Abi‐Saab has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Anissa Abi‐Dargham, Deepak Cyril D’Souza, Laurence P. Karper, John H. Krystal, Dennis S. Charney, John Krystal, Dennis S. Charney, Malcolm B. Bowers, Paul Delmar and Paulo Fontoura. Their work appears in journals such as Schizophrenia Research, Alzheimer s & Dementia, Biological Psychiatry, The Journal of Prevention of Alzheimer s Disease and Neurology.

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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