Farideh Javid

53 papers receiving 693 citations

Peers

Farideh Javid
Comparison fields: 5 of 113
  • Pharmacology 257
  • Endocrine and Autonomic Systems 43
  • Complementary and alternative medicine 49
  • Gastroenterology 31
  • Pharmaceutical Science 29
Replace Carlos Goicoechea with:
Carlos Goicoechea Spain
Tadashi Hashimoto Japan
Jan M. Keppel Hesselink Germany
Yukio Sugimoto Japan
Josipa Vlainić Croatia
Lorenzo Corsi Italy
Klára Gyires Hungary
Mousa Sahebgharani Iran
Attila Oláh Hungary
Zaijie Jim Wang United States
Farideh Javid relative to Carlos Goicoechea Spain Carlos Goicoechea's profile →
Citations per field
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Carlos Goicoechea · 1×
Citations per year

Countries citing papers authored by Farideh Javid

Since Specialization
Citations

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

Fields of papers citing papers by Farideh Javid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012124
2 201668
3 201649
4 199931
5 200229
6 200828
7 201227
8 201925
9 201924
10 201623
11 202219
12 201819
13 200618
14 201818
15 201916
16 200715
17 201614
18 200114
19 201913
20 199913

About Farideh Javid

Farideh Javid is a scholar working on Pharmacology, Molecular Biology, Physiology, Surgery and Cellular and Molecular Neuroscience, having authored 57 papers that have together received 708 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (9 papers), Pain Mechanisms and Treatments (5 papers), Psychedelics and Drug Studies (4 papers), Gastrointestinal motility and disorders (4 papers), Circadian rhythm and melatonin (3 papers), Neuroscience and Neuropharmacology Research (3 papers), GABA and Rice Research (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). The work is most often cited by research in Pharmacology (257 citations), Endocrine and Autonomic Systems (43 citations), Complementary and alternative medicine (49 citations), Gastroenterology (31 citations) and Pharmaceutical Science (29 citations). Farideh Javid has collaborated with scholars based in United Kingdom, India and Malaysia. Frequent co-authors include Robert J. Naylor, Prem Felix Siril, Raj Kumar, Roger M. Phillips, Alessia Ligresti, Roberta Verde, Roger G. Pertwee, Daniele Bolognini, Marnie Duncan and Brian A. Whittle. Their work appears in journals such as European Journal of Pharmacology, Pharmacology Biochemistry and Behavior, Pharmacology Research & Perspectives, British Journal of Pharmacology and Journal of Medicinal Chemistry.

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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