Javad Masoumi

592 total citations
32 papers, 415 citations indexed

About

Javad Masoumi is a scholar working on Immunology, Oncology and Pharmacology. According to data from OpenAlex, Javad Masoumi has authored 32 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 10 papers in Oncology and 8 papers in Pharmacology. Recurrent topics in Javad Masoumi's work include Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (12 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Javad Masoumi is often cited by papers focused on Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (12 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Javad Masoumi collaborates with scholars based in Iran, Türkiye and Italy. Javad Masoumi's co-authors include Jalal Abdolalizadeh, Abdollah Jafarzadeh, Hossein Khorramdelazad, Daryoush Mohammadnejad, Behzad Baradaran, Farid Ghorbaninezhad, Abolfazl Barzegari, Philippe Jeandet, Graciela Pavon‐Djavid and Hamed Mirzaei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Life Sciences.

In The Last Decade

Javad Masoumi

30 papers receiving 412 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 Masoumi Iran 11 143 140 114 86 72 32 415
Seok‐Woo Park South Korea 14 105 0.7× 106 0.8× 81 0.7× 139 1.6× 31 0.4× 26 457
Bona Linke Germany 11 153 1.1× 171 1.2× 71 0.6× 31 0.4× 36 0.5× 11 453
Pradeep Kumar Sacitharan United Kingdom 9 261 1.8× 68 0.5× 51 0.4× 107 1.2× 54 0.8× 12 578
Qianliang Wang China 12 252 1.8× 69 0.5× 53 0.5× 50 0.6× 34 0.5× 30 471
Beatrice Dufrusine Italy 11 133 0.9× 49 0.3× 40 0.4× 53 0.6× 30 0.4× 29 323
Bárbara Maximino Rezende Brazil 13 188 1.3× 203 1.4× 55 0.5× 29 0.3× 36 0.5× 23 492
Jie Yao China 11 213 1.5× 171 1.2× 50 0.4× 17 0.2× 37 0.5× 37 493
R. Patoka Israel 6 230 1.6× 125 0.9× 86 0.8× 39 0.5× 23 0.3× 8 501
Nyanbol Kuol Australia 9 132 0.9× 101 0.7× 199 1.7× 14 0.2× 28 0.4× 13 482
James Root Sweden 7 116 0.8× 98 0.7× 54 0.5× 73 0.8× 14 0.2× 10 414

Countries citing papers authored by Javad Masoumi

Since Specialization
Citations

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

Fields of papers citing papers by Javad Masoumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javad Masoumi

This figure shows the co-authorship network connecting the top 25 collaborators of Javad Masoumi. A scholar is included among the top collaborators of Javad Masoumi 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 Masoumi. Javad Masoumi 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.
Mardi, Amirhossein, et al.. (2025). Overview of dendritic cells subsets and their involvement in immune-related pathological disease. Bioimpacts. 15. 30671–30671. 2 indexed citations
2.
Masoumi, Javad, et al.. (2025). Pyrimethamine treatment in breast cancer lysate-loaded dendritic cells promotes autologous T cells’ anti-tumor responses in vitro. Human Immunology. 86(3). 111290–111290. 1 indexed citations
3.
4.
Ghorbaninezhad, Farid, et al.. (2025). Unveiling rifampin’s impact on OSCC lysate-pulsed DCs: From inflammatory to anti-inflammatory landscape. Tissue and Cell. 95. 102920–102920.
5.
Masoumi, Javad, Farid Ghorbaninezhad, Leili Aghebati‐Maleki, et al.. (2024). Boosting immunotherapy efficacy: Empowering the Potency of Dendritic cells loaded with breast cancer lysates through CTLA-4 suppression. Heliyon. 10(18). e37699–e37699. 2 indexed citations
6.
Mardi, Amirhossein, Neda Shajari, Mohammad Reza Sadeghi, et al.. (2024). Unmasking the NLRP3 inflammasome in dendritic cells as a potential therapeutic target for autoimmunity, cancer, and infectious conditions. Life Sciences. 348. 122686–122686. 5 indexed citations
7.
Jafarzadeh, Abdollah, Hossein Khorramdelazad, Sara Jafarzadeh, et al.. (2024). Reciprocal Interactions Between Apelin and Noncoding RNAs in Cancer Progression. Cell Biochemistry and Function. 42(7). e4116–e4116. 3 indexed citations
8.
Shekari, Najibeh, Dariush Shanehbandi, Elham Baghbani, et al.. (2024). VSIG-3/IGSF11 silencing in A2058 melanoma cells simultaneously suppresses melanoma progression and induces anti-tumoral cytokine profile in human T cells: In silico and in vitro study. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(4). 3861–3880. 1 indexed citations
9.
10.
Kazemi, Tohid, Mohammad Reza Sadeghi, Javad Ahmadian Heris, et al.. (2023). Glyburide-treated human monocyte-derived dendritic cells loaded with insulin represent tolerogenic features with anti-inflammatory responses and modulate autologous T cell responses in vitro. International Immunopharmacology. 126. 111230–111230. 7 indexed citations
11.
Masoumi, Javad, Farid Ghorbaninezhad, Hossein Saeedi, et al.. (2023). siRNA-Mediated B7H7 Knockdown in Gastric Cancer Lysate-Loaded Dendritic Cells Amplifies Expansion and Cytokine Secretion of Autologous T Cells. Biomedicines. 11(12). 3212–3212. 7 indexed citations
12.
Masoumi, Javad, et al.. (2023). Regulation of Dendritic Cell Functions by Vitamins as Promising Therapeutic Strategy for Immune System Disorders. Advanced Biology. 7(12). e2300142–e2300142. 10 indexed citations
13.
Masoumi, Javad, Farid Ghorbaninezhad, Tohid Kazemi, et al.. (2023). STATs signaling pathways in dendritic cells: As potential therapeutic targets?. International Reviews of Immunology. 43(3). 138–159. 9 indexed citations
14.
Masoumi, Javad, Nahid Zainodini, Maryam Nemati, et al.. (2023). Apelin receptor antagonist boosts dendritic cell vaccine efficacy in controlling angiogenic, metastatic and apoptotic-related factors in 4T1 breast tumor-bearing mice. Medical Oncology. 40(6). 179–179. 7 indexed citations
15.
Masoumi, Javad, Farid Ghorbaninezhad, Neda Shajari, et al.. (2022). The modulatory role of dendritic cell-T cell cross-talk in breast cancer: Challenges and prospects. Advances in Medical Sciences. 67(2). 353–363. 14 indexed citations
16.
17.
Ghorbaninezhad, Farid, Javad Masoumi, Amir Baghbanzadeh, et al.. (2022). CTLA-4 silencing in dendritic cells loaded with colorectal cancer cell lysate improves autologous T cell responses in vitro. Frontiers in Immunology. 13. 931316–931316. 18 indexed citations
18.
Ghorbaninezhad, Farid, Zahra Asadzadeh, Javad Masoumi, et al.. (2022). Dendritic cell-based cancer immunotherapy in the era of immune checkpoint inhibitors: From bench to bedside. Life Sciences. 297. 120466–120466. 27 indexed citations
19.
Nosratabadi, Reza, et al.. (2020). A Review of Immunomodulatory Effects of Fluoroquinolones. Immunological Investigations. 50(8). 1007–1026. 36 indexed citations
20.
Masoumi, Javad, et al.. (2020). Role of Apelin/APJ axis in cancer development and progression. Advances in Medical Sciences. 65(1). 202–213. 51 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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