Hamid Nickho

866 total citations · 1 hit paper
18 papers, 589 citations indexed

About

Hamid Nickho is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Hamid Nickho has authored 18 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Oncology. Recurrent topics in Hamid Nickho's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Extracellular vesicles in disease (3 papers). Hamid Nickho is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Extracellular vesicles in disease (3 papers). Hamid Nickho collaborates with scholars based in Iran, Australia and United Kingdom. Hamid Nickho's co-authors include Leili Aghebati‐Maleki, Mehdi Yousefi, Morteza Motallebnezhad, Pooya Farhangnia, Ali‐Akbar Delbandi, Jafar Majidi, Behzad Baradaran, Hossein Khorramdelazad, Babak Bakhshinejad and Ali Aghebati‐Maleki and has published in prestigious journals such as Frontiers in Immunology, Comprehensive Reviews in Food Science and Food Safety and Journal of Hematology & Oncology.

In The Last Decade

Hamid Nickho

16 papers receiving 583 citations

Hit Papers

Current and future immunotherapeutic approaches in pancre... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamid Nickho Iran 12 297 141 125 121 83 18 589
Yuejie Zhu China 19 497 1.7× 135 1.0× 108 0.9× 306 2.5× 56 0.7× 68 1.0k
Shuangyou Liu China 13 197 0.7× 286 2.0× 34 0.3× 94 0.8× 162 2.0× 31 676
Almohanad A. Alkayyal Saudi Arabia 12 273 0.9× 374 2.7× 134 1.1× 321 2.7× 38 0.5× 29 903
Caitlin D. Lemke United States 15 344 1.2× 176 1.2× 63 0.5× 474 3.9× 25 0.3× 30 894
Adil Akyildiz United States 7 501 1.7× 112 0.8× 39 0.3× 204 1.7× 25 0.3× 7 735
Zhen Yan China 14 296 1.0× 78 0.6× 51 0.4× 96 0.8× 19 0.2× 44 610
S Bass United States 8 386 1.3× 88 0.6× 127 1.0× 121 1.0× 57 0.7× 11 739
Suzanne M. Gignac Germany 16 306 1.0× 136 1.0× 43 0.3× 174 1.4× 81 1.0× 38 697
Zhenyu Wu China 14 391 1.3× 85 0.6× 28 0.2× 64 0.5× 31 0.4× 49 652
Richard Stillion United Kingdom 7 205 0.7× 47 0.3× 47 0.4× 321 2.7× 23 0.3× 9 714

Countries citing papers authored by Hamid Nickho

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Nickho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Nickho

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

All Works

18 of 18 papers shown
1.
Esparvarinha, Mojgan, et al.. (2025). Role of exosomes in cancer: from diagnosis to therapy. Discover Oncology. 16(1). 2045–2045.
2.
Nedaeinia, Reza, Simin Najafgholian, Rasoul Salehi, et al.. (2024). The role of cancer-associated fibroblasts and exosomal miRNAs-mediated intercellular communication in the tumor microenvironment and the biology of carcinogenesis: a systematic review. Cell Death Discovery. 10(1). 380–380. 34 indexed citations
4.
Farhangnia, Pooya, Hossein Khorramdelazad, Hamid Nickho, & Ali‐Akbar Delbandi. (2024). Current and future immunotherapeutic approaches in pancreatic cancer treatment. Journal of Hematology & Oncology. 17(1). 40–40. 86 indexed citations breakdown →
5.
Farhangnia, Pooya, et al.. (2023). SLAM-family receptors come of age as a potential molecular target in cancer immunotherapy. Frontiers in Immunology. 14. 1174138–1174138. 35 indexed citations
6.
Nejad, Asieh Emami, et al.. (2023). The role of microRNAs involved in the disorder of blood–brain barrier in the pathogenesis of multiple sclerosis. Frontiers in Immunology. 14. 11 indexed citations
7.
Esparvarinha, Mojgan, Hamid Nickho, Leili Aghebati‐Maleki, et al.. (2022). Understanding main pregnancy complications through animal models. Journal of Reproductive Immunology. 153. 103676–103676. 4 indexed citations
8.
Esparvarinha, Mojgan, et al.. (2022). Dominant immune cells in pregnancy and pregnancy complications: T helper cells (TH1/TH2, TH17/Treg cells), NK cells, MDSCs, and the immune checkpoints. Cell Biology International. 47(3). 507–519. 26 indexed citations
9.
Jazayeri, Mir Hadi, et al.. (2020). Rapid noninvasive detection of bladder cancer using survivin antibody-conjugated gold nanoparticles (GNPs) based on localized surface plasmon resonance (LSPR). Cancer Immunology Immunotherapy. 69(9). 1833–1840. 30 indexed citations
10.
Barati, Meisam, Fardin Javanmardi, Masoumeh Jabbari, et al.. (2020). Techniques, perspectives, and challenges of bioactive peptide generation: A comprehensive systematic review. Comprehensive Reviews in Food Science and Food Safety. 19(4). 1488–1520. 73 indexed citations
11.
Barati, Meisam, Masoumeh Jabbari, Hamid Nickho, et al.. (2020). Regulatory T Cells in Bioactive Peptides-Induced Oral Tolerance; a Two-Edged Sword Related to the Risk of Chronic Diseases: A Systematic Review. Nutrition and Cancer. 73(6). 956–967. 7 indexed citations
12.
Aghebati‐Maleki, Leili, Vahid Younesi, Behzad Baradaran, et al.. (2017). Antiproliferative and Apoptotic Effects of Novel Anti-ROR1 Single-Chain Antibodies in Hematological Malignancies. SLAS DISCOVERY. 22(4). 408–417. 18 indexed citations
13.
Esparvarinha, Mojgan, Hamid Nickho, Hamed Mohammadi, et al.. (2017). The role of free kappa and lambda light chains in the pathogenesis and treatment of inflammatory diseases. Biomedicine & Pharmacotherapy. 91. 632–644. 25 indexed citations
14.
Barati, Meisam, Mehdi Yousefi, Mehrangiz Ebrahimi‐Mameghani, et al.. (2017). Oryzatensin-stimulated PBMCs Increase Cancer Progression In-vitro.. PubMed. 16(2). 120–126. 3 indexed citations
15.
Motallebnezhad, Morteza, Vahid Younesi, Leili Aghebati‐Maleki, et al.. (2016). Antiproliferative and apoptotic effects of a specific anti-insulin-like growth factor I receptor single chain antibody on breast cancer cells. Tumor Biology. 37(11). 14841–14850. 6 indexed citations
16.
Motallebnezhad, Morteza, Leili Aghebati‐Maleki, Farhad Jadidi‐Niaragh, et al.. (2016). The insulin-like growth factor-I receptor (IGF-IR) in breast cancer: biology and treatment strategies. Tumor Biology. 37(9). 11711–11721. 39 indexed citations
17.
Aghebati‐Maleki, Leili, Babak Bakhshinejad, Behzad Baradaran, et al.. (2016). Phage display as a promising approach for vaccine development. Journal of Biomedical Science. 23(1). 66–66. 167 indexed citations
18.
Nickho, Hamid, et al.. (2016). Developing and characterization of single chain variable fragment (scFv) antibody against frizzled 7 (Fzd7) receptor. Bioengineered. 8(5). 501–510. 25 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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