Hamed Valizadeh

1.2k total citations
17 papers, 739 citations indexed

About

Hamed Valizadeh is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Hamed Valizadeh has authored 17 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Hamed Valizadeh's work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (4 papers) and Extracellular vesicles in disease (2 papers). Hamed Valizadeh is often cited by papers focused on COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (4 papers) and Extracellular vesicles in disease (2 papers). Hamed Valizadeh collaborates with scholars based in Iran, Russia and Kazakhstan. Hamed Valizadeh's co-authors include Majid Ahmadi, Leila Roshangar, Armin Sadeghi, Mahnaz Ghaebi, Sanaz Abbaspour‐Aghdam, Ali Taghizadieh, Farhad Jadidi‐Niaragh, Samaneh Abdolmohammadi‐Vahid, Saeed Aslani and Haleh Mikaeili and has published in prestigious journals such as Life Sciences, European Journal of Pharmacology and Journal of Cellular Physiology.

In The Last Decade

Hamed Valizadeh

16 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamed Valizadeh Iran 10 276 235 142 128 98 17 739
Armin Sadeghi Iran 7 199 0.7× 137 0.6× 129 0.9× 122 1.0× 68 0.7× 11 492
Mahnaz Ghaebi Iran 16 136 0.5× 185 0.8× 57 0.4× 101 0.8× 409 4.2× 19 918
Shihui Lin China 19 127 0.5× 247 1.1× 81 0.6× 58 0.5× 431 4.4× 37 932
Sabyasachi Senapati India 16 245 0.9× 186 0.8× 54 0.4× 16 0.1× 153 1.6× 43 849
Chuanjiang Wang China 18 80 0.3× 316 1.3× 62 0.4× 40 0.3× 341 3.5× 38 836
Takwa Bedhiafi Qatar 15 187 0.7× 180 0.8× 46 0.3× 31 0.2× 62 0.6× 16 691
Shufang Zhang China 14 87 0.3× 255 1.1× 32 0.2× 61 0.5× 191 1.9× 23 712
Chung‐Hsin Yeh Taiwan 16 63 0.2× 314 1.3× 31 0.2× 41 0.3× 131 1.3× 45 939

Countries citing papers authored by Hamed Valizadeh

Since Specialization
Citations

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

Fields of papers citing papers by Hamed Valizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamed Valizadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Valizadeh. A scholar is included among the top collaborators of Hamed Valizadeh 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 Hamed Valizadeh. Hamed Valizadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Mardi, Amirhossein, Samaneh Abdolmohammadi‐Vahid, Sanaz Abbaspour‐Aghdam, et al.. (2024). Nanocurcumin modulates Th17 cell responses in moderate and severe COPD patients. Heliyon. 10(9). e30025–e30025. 3 indexed citations
2.
Hazrati, Ali, Hadi Esmaeili Gouvarchin Ghaleh, Nematollah Jonaidi Jafari, et al.. (2023). Exosomes from Adipose Tissue-derived Mesenchymal Stem Cells Induce Regulatory T Cells in COVID‐19 Patients. Iranian Journal of Allergy Asthma and Immunology. 22(3). 233–244. 5 indexed citations
3.
Mosaddeghi-Heris, Reza, Milad Shirvaliloo, Sanaz Abbaspour‐Aghdam, et al.. (2022). The potential use of mesenchymal stem cells and their exosomes in Parkinson’s disease treatment. Stem Cell Research & Therapy. 13(1). 371–371. 69 indexed citations
4.
Abbaspour‐Aghdam, Sanaz, Ali Hazrati, Samaneh Abdolmohammadi‐Vahid, et al.. (2022). Immunomodulatory role of Nanocurcumin in COVID-19 patients with dropped natural killer cells frequency and function. European Journal of Pharmacology. 933. 175267–175267. 15 indexed citations
5.
Sadeghi, Armin, et al.. (2022). Evaluating the effect of Edaravone on clinical outcome of patients with severe COVID-19 admitted to ICU: a randomized clinical trial. Inflammopharmacology. 30(4). 1277–1282. 3 indexed citations
6.
Abbaszadeh, Hossein, Farzaneh Ghorbani, Sanaz Abbaspour‐Aghdam, et al.. (2022). Chronic obstructive pulmonary disease and asthma: mesenchymal stem cells and their extracellular vesicles as potential therapeutic tools. Stem Cell Research & Therapy. 13(1). 262–262. 47 indexed citations
7.
Mahdavi, Aida Malek, et al.. (2021). Relationship between chest CT scan findings with SOFA score, CRP, comorbidity, and mortality in ICU patients with COVID‐19. International Journal of Clinical Practice. 75(12). e14869–e14869. 6 indexed citations
8.
Tahmasebi, Safa, Balsam Qubais Saeed, Alexei Valerievich Yumashev, et al.. (2021). Nanocurcumin improves Treg cell responses in patients with mild and severe SARS-CoV2. Life Sciences. 276. 119437–119437. 53 indexed citations
9.
Sadeghi, Armin, Safa Tahmasebi, Arshad Mahmood, et al.. (2020). Expression of Concern: Th17 and Treg cells function in SARS‐CoV2 patients compared with healthy controls. Journal of Cellular Physiology. 236(4). 2829–2839. 127 indexed citations
10.
Pourakbari, Ramin, Mojgan Hosseini, Saeed Aslani, et al.. (2020). Association between interleukin 2 receptor A gene polymorphisms (rs2104286 and rs12722489) with susceptibility to multiple sclerosis in Iranian population. Meta Gene. 25. 100750–100750. 3 indexed citations
11.
Abbaspour‐Aghdam, Sanaz, Majid Ahmadi, Saeed Aslani, et al.. (2020). Molecular analysis of CTLA4 gene in patients with Behçet's disease from an Iranian Northwest Azeri population. Gene Reports. 19. 100612–100612.
12.
Ghaebi, Mahnaz, et al.. (2020). Vaccine development and therapeutic design for 2019‐nCoV/SARS‐CoV‐2: Challenges and chances. Journal of Cellular Physiology. 235(12). 9098–9109. 52 indexed citations
13.
Valizadeh, Hamed, Samaneh Abdolmohammadi‐Vahid, Svetlana Danshina, et al.. (2020). Nano-curcumin therapy, a promising method in modulating inflammatory cytokines in COVID-19 patients. International Immunopharmacology. 89(Pt B). 107088–107088. 209 indexed citations
14.
Taghizadieh, Ali, Haleh Mikaeili, Majid Ahmadi, & Hamed Valizadeh. (2020). Acute kidney injury in pregnant women following SARS-CoV-2 infection: A case report from Iran. Respiratory Medicine Case Reports. 30. 101090–101090. 28 indexed citations
15.
Ansarin, Khalil, Ramin Tolouian, Mohammadreza Ardalan, et al.. (2020). Effect of bromhexine on clinical outcomes and mortality in COVID-19 patients: A randomized clinical trial. Bioimpacts. 10(4). 209–215. 73 indexed citations
16.
Zhang, Lingzhi, et al.. (2020). Epigenetic Modifications and Therapy in Chronic Obstructive Pulmonary Disease (COPD): An Update Review. COPD Journal of Chronic Obstructive Pulmonary Disease. 17(3). 333–342. 37 indexed citations
17.
Hajialilo, Mehrzad, Amir Ghorbanihaghjo, Alireza Khabbazi, et al.. (2014). Nasal carriage rate of Staphylococcus aureus among patients with systemic lupus erythematosus and its correlation with disease relapse. The Egyptian Rheumatologist. 37(2). 81–84. 9 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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