Javad Hami

793 total citations
42 papers, 613 citations indexed

About

Javad Hami is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Developmental Neuroscience. According to data from OpenAlex, Javad Hami has authored 42 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 14 papers in Pediatrics, Perinatology and Child Health and 9 papers in Developmental Neuroscience. Recurrent topics in Javad Hami's work include Neonatal and fetal brain pathology (12 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). Javad Hami is often cited by papers focused on Neonatal and fetal brain pathology (12 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). Javad Hami collaborates with scholars based in Iran, Germany and Australia. Javad Hami's co-authors include Hossein Haghir, Akram Sadeghi, Ebrahim Esfandiary, Zahra Hejazi, Shahnaz Razavi, Ariane Sadr‐Nabavi, Mehran Hosseini, Kazem Ghaemi, Fatemeh Alipour and Mahdi Balali‐Mood and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroscience and Heliyon.

In The Last Decade

Javad Hami

41 papers receiving 607 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Javad Hami Iran 15 203 132 124 120 108 42 613
Janaína Kolling Brazil 19 195 1.0× 124 0.9× 68 0.5× 179 1.5× 30 0.3× 44 846
Ataç Sönmez Türkiye 13 165 0.8× 125 0.9× 97 0.8× 168 1.4× 13 0.1× 26 813
Emmanuelle Nédélec France 14 95 0.5× 170 1.3× 73 0.6× 184 1.5× 27 0.3× 25 818
Aline Longoni Brazil 14 87 0.4× 137 1.0× 57 0.5× 88 0.7× 20 0.2× 31 523
Silvia Lores‐Arnaiz Argentina 20 82 0.4× 312 2.4× 241 1.9× 395 3.3× 72 0.7× 45 939
Emilene B. S. Scherer Brazil 18 144 0.7× 154 1.2× 139 1.1× 175 1.5× 10 0.1× 35 865
Emilene Barros da Silva Scherer Brazil 14 105 0.5× 89 0.7× 52 0.4× 101 0.8× 18 0.2× 22 490
Karl Kevala United States 13 107 0.5× 192 1.5× 124 1.0× 313 2.6× 9 0.1× 20 1.0k
Kim Eerola Finland 14 48 0.2× 159 1.2× 136 1.1× 135 1.1× 34 0.3× 21 599
Letícia Martins Ignácio-Souza Brazil 17 211 1.0× 392 3.0× 26 0.2× 259 2.2× 72 0.7× 54 1.0k

Countries citing papers authored by Javad Hami

Since Specialization
Citations

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

Fields of papers citing papers by Javad Hami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javad Hami

This figure shows the co-authorship network connecting the top 25 collaborators of Javad Hami. A scholar is included among the top collaborators of Javad Hami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javad Hami. Javad Hami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Haghir, Hossein, et al.. (2023). A new map of the rat isocortex and proisocortex: cytoarchitecture and M2 receptor distribution patterns. Brain Structure and Function. 229(8). 1795–1822. 2 indexed citations
2.
Sadr‐Nabavi, Ariane, et al.. (2021). Developmental regulation and lateralization of N-methyl-d-aspartate (NMDA) receptors in the rat hippocampus. Neuropeptides. 89. 102183–102183. 7 indexed citations
3.
Zandieh, Zahra, et al.. (2020). Laterality and sex differences in the expression of brain-derived neurotrophic factor in developing rat hippocampus. Metabolic Brain Disease. 36(1). 133–144. 11 indexed citations
4.
Hami, Javad, et al.. (2020). Protective Effect of Flax Seed on Brain Teratogenicity Induced by Lamotrigine in Rat Fetuses. SHILAP Revista de lepidopterología. 62(2). 372–377. 1 indexed citations
5.
Haghir, Hossein, et al.. (2017). Expression of apoptosis-regulatory genes in the hippocampus of rat neonates born to mothers with diabetes. Metabolic Brain Disease. 32(2). 617–628. 14 indexed citations
6.
Hami, Javad, Akram Sadeghi, Kazem Ghaemi, et al.. (2016). The impacts of diabetes in pregnancy on hippocampal synaptogenesis in rat neonates. Neuroscience. 318. 122–133. 29 indexed citations
7.
Razavi, Shahnaz, Akram Sadeghi, Javad Hami, Ebrahim Esfandiary, & Zahra Hejazi. (2016). The effect of diabetes mellitus on apoptosis in hippocampus: Cellular and molecular aspects. International Journal of Preventive Medicine. 7(1). 57–57. 115 indexed citations
8.
Ebrahimzadeh‐Bideskan, Alireza, Javad Hami, Fatemeh Alipour, et al.. (2016). Protective effects of ascorbic acid and garlic extract against lead-induced apoptosis in developing rat hippocampus. Metabolic Brain Disease. 31(5). 1123–1132. 28 indexed citations
9.
Ghasemi, Mohammad‐Reza, et al.. (2015). Renin-Angiotensin A1166C Polymorphism and the Rrisk of Stroke. SHILAP Revista de lepidopterología.
10.
Hami, Javad, et al.. (2015). Diabetes in Pregnancy Adversely Affects the Expression of Glycogen Synthase Kinase-3β in the Hippocampus of Rat Neonates. Journal of Molecular Neuroscience. 57(2). 273–281. 11 indexed citations
11.
Hami, Javad, et al.. (2015). Insulin-Like Growth Factor-1 Receptor Is Differentially Distributed in Developing Cerebellar Cortex of Rats Born to Diabetic Mothers. Journal of Molecular Neuroscience. 58(2). 221–232. 9 indexed citations
12.
Hami, Javad, et al.. (2015). Effects of streptozotocin-induced type 1 maternal diabetes on PI3K/AKT signaling pathway in the hippocampus of rat neonates. Journal of Receptors and Signal Transduction. 36(3). 254–260. 12 indexed citations
13.
Hami, Javad. (2015). Some of the experimental and clinical aspects of the effects of the maternal diabetes on developing hippocampus. World Journal of Diabetes. 6(3). 412–412. 40 indexed citations
14.
Pirhoushiaran, Maryam, et al.. (2014). The Association of Coagulation Factor V (Leiden) and Factor II (Prothrombin) Mutations with Stroke. Iranian Red Crescent Medical Journal. 16(11). e11548–e11548. 7 indexed citations
15.
17.
Hami, Javad, et al.. (2012). The effects of maternal diabetes on expression of insulin-like growth factor-1 and insulin receptors in male developing rat hippocampus. Brain Structure and Function. 218(1). 73–84. 36 indexed citations
18.
Haghir, Hossein, Ali Gorji, & Javad Hami. (2010). EFFECTS OF PIMPINELLA ANISUM ON SPREADING DEPRESSION IN RAT NEOCORTICAL TISSUE. Journal of Birjand University of Medical Sciences. 17(344). 180–188. 3 indexed citations
19.
Sadeghi, Yousef, et al.. (2008). Effects of insulin and ascorbic acid therapy on plasma cu level in streptozotocin-induced diabetic rats. Journal of Birjand University of Medical Sciences. 15(336). 26–31. 2 indexed citations
20.
Hami, Javad, et al.. (2006). The Relationship between High Dose Lead Exposure and Serum Lipids and Lipoprotein Levels. Shiraz E-Medical Journal. 7(2). 0–0. 1 indexed citations

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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