Fatemeh Khakpai

1.2k citations
71 papers · 926 indexed · h-index 17

Fatemeh Khakpai

64 papers receiving 923 citations

Peers

Fatemeh Khakpai
Comparison fields: 5 of 97
  • Biological Psychiatry 92
  • Cellular and Molecular Neuroscience 453
  • Behavioral Neuroscience 80
  • Cognitive Neuroscience 297
  • Developmental Neuroscience 63
Replace Lucia Ciranna with:
Lucia Ciranna Italy
Sarah J. Cohen United States
Mariana Bendlin Calzavara Brazil
Qi‐Xin Zhou China
Anne Quiedeville France
Andréa da Silva Torrão Brazil
Patrícia A. Dombrowski Brazil
Jan N. Keijser Netherlands
Amber T. Levine United States
Chantal Mathis France
Fatemeh Khakpai relative to Lucia Ciranna Italy Lucia Ciranna's profile →
Citations per field
00.5×1.6×
Lucia Ciranna · 1×
Citations per year

Countries citing papers authored by Fatemeh Khakpai

Since Specialization
Citations

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

Fields of papers citing papers by Fatemeh Khakpai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Fatemeh Khakpai, 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 Fatemeh Khakpai Line = papers co-authored together Fatemeh Khakpai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 20240
5 20241
6 20232
7 20239
8 20231
9 20232
10 202214
11 202110
12 20200
13 201939
14 20184
15 20186
16 20178
17 201713
18 201611
19
Septo-Hippocampo-Septal Loop and Memory Formation
201270
20 201227

About Fatemeh Khakpai

Fatemeh Khakpai is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 71 papers that have together received 926 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (29 papers), Memory and Neural Mechanisms (20 papers), Nicotinic Acetylcholine Receptors Study (13 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Tryptophan and brain disorders (10 papers), Cannabis and Cannabinoid Research (9 papers), Pain Mechanisms and Treatments (8 papers) and Synthesis and bioactivity of alkaloids (6 papers). The work is most often cited by research in Biological Psychiatry (92 citations), Cellular and Molecular Neuroscience (453 citations) and Behavioral Neuroscience (80 citations). Fatemeh Khakpai has collaborated with scholars based in Iran, Bulgaria and United States. Frequent co-authors include Mohammad‐Reza Zarrindast, Mohammad Nasehi, Ali Haeri-Rohani, Akram Eidi, Mohaddeseh Ebrahimi-Ghiri, Mohammad Nasehi, Sakineh Alijanpour, Maryam Montazeri, Leila Youseftabar‐Miri and M.R. Zarrindast. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and Biochemical and Biophysical Research Communications.

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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