Chadi Abbara

59 papers receiving 606 citations

Peers

Chadi Abbara
Comparison fields: 5 of 93
  • Toxicology 110
  • Transplantation 32
  • Pharmacology 97
  • Endocrine and Autonomic Systems 38
  • Pharmacology 34
Replace Janet L. Karlix with:
Janet L. Karlix United States
Karim Aouam Tunisia
Jo Adaway United Kingdom
Steven J. Soldin Canada
M. René Bouw United Kingdom
HE Xiao-jing China
Daniël Martijn Jonker Denmark
Sandra Mendoza United States
Gershwin Theophilus Blyden United States
Alexandre Destère France
Chadi Abbara relative to Janet L. Karlix United States Janet L. Karlix's profile →
Citations per field
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Janet L. Karlix · 1×
Citations per year

Countries citing papers authored by Chadi Abbara

Since Specialization
Citations

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

Fields of papers citing papers by Chadi Abbara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200756
2 201156
3 202144
4 200840
5 202132
6 200926
7 201021
8 202321
9 200219
10 201919
11 201017
12 200616
13 200916
14 201016
15 201813
16 201913
17 201411
18 202111
19 202411
20 200910

About Chadi Abbara

Chadi Abbara is a scholar working on Toxicology, Emergency Medicine, Pharmacology, Clinical Psychology and Oncology, having authored 65 papers that have together received 620 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (21 papers), Psychedelics and Drug Studies (9 papers), Poisoning and overdose treatments (8 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Drug Transport and Resistance Mechanisms (7 papers), Cannabis and Cannabinoid Research (5 papers), Cancer therapeutics and mechanisms (4 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Toxicology (110 citations), Transplantation (32 citations), Pharmacology (97 citations), Endocrine and Autonomic Systems (38 citations) and Pharmacology (34 citations). Chadi Abbara has collaborated with scholars based in France, Switzerland and Türkiye. Frequent co-authors include Laurence Bonhomme‐Faivre, Marie B Briet, Robert Farinotti, Michel Reynaud, Amine Benyamina, Bénédicte Lelièvre, Alain Turcant, Jean Clairambault, Annabelle Ballesta and Sandrine Dulong. Their work appears in journals such as Therapeutic Drug Monitoring, Forensic Science International, Journal of Forensic and Legal Medicine, Pharmaceutics and Forensic Science International Genetics.

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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