Danielle Abi‐Saab

35 papers receiving 1.1k citations

Peers

Danielle Abi‐Saab
Comparison fields: 5 of 70
  • Biological Psychiatry 210
  • Pharmacology 332
  • Cellular and Molecular Neuroscience 360
  • Psychiatry and Mental health 225
  • Cognitive Neuroscience 212
Replace Deepak Cyril D’Souza with:
Deepak Cyril D’Souza United States
Don Goff United States
Morozova Ma Russia
M.D.C. Simpson United Kingdom
W. Schmid‐Burgk Switzerland
N.R. Burton United Kingdom
Elisabetta Filomena Buonaguro Italy
R. H. Perry United Kingdom
Katherine L. Nicholson United States
Gary C. Stratmann United Kingdom
Danielle Abi‐Saab relative to Deepak Cyril D’Souza United States Deepak Cyril D’Souza's profile →
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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 1999190
2 2019158
3 2000147
4 1998146
5 200088
6 201476
7 201264
8 202145
9 202133
10 201527
11 200519
12 199516
13 199713
14 201411
15 20189
16 20179
17 19959
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 Treatment of Major Depression (7 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers), Schizophrenia research and treatment (7 papers), Tryptophan and brain disorders (7 papers), Alzheimer's disease research and treatments (6 papers), Amino Acid Enzymes and Metabolism (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Biological Psychiatry (210 citations), Pharmacology (332 citations), Cellular and Molecular Neuroscience (360 citations), Psychiatry and Mental health (225 citations) and Cognitive Neuroscience (212 citations). Danielle Abi‐Saab has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Laurence P. Karper, Anissa Abi‐Dargham, Deepak Cyril D’Souza, John H. Krystal, John Krystal, Dennis S. Charney, Malcolm B. Bowers, Dennis S. Charney, Paul Delmar and Rachelle S. Doody. Their work appears in journals such as Schizophrenia Research, Alzheimer s & Dementia, Biological Psychiatry, Neurology and European Neuropsychopharmacology.

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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