Mohammad Hossein Kazemi

1.9k citations
38 papers · 1.2k indexed · 1 hit paper · h-index 14

Mohammad Hossein Kazemi

36 papers receiving 1.2k citations

Hit Papers

Breast cancer: Biology, biomarkers, and treatments5662020202620222024100200300400500

Peers

Mohammad Hossein Kazemi
Comparison fields: 5 of 116
  • Physiology 138
  • Cancer Research 240
  • Oncology 398
  • Immunology 287
  • Molecular Biology 484
Replace Cheng Ean Chee with:
Cheng Ean Chee Singapore
Bart Jessen United States
Jafar Karami Iran
Klaus Wielckens Germany
Yasutaka Shuno Japan
Gabriele Madonna Italy
Yan Yu China
Song Hu China
Yuka Sasaki Japan
Mohammad Hossein Kazemi relative to Cheng Ean Chee Singapore Cheng Ean Chee's profile →
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Citations per year

Countries citing papers authored by Mohammad Hossein Kazemi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Hossein Kazemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Hossein Kazemi. 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 Mohammad Hossein Kazemi. The network helps show where Mohammad Hossein Kazemi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mohammad Hossein Kazemi, 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 Mohammad Hossein Kazemi Line = papers co-authored together Mohammad Hossein Kazemi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 202410
4 20236
5 202210
6
Oncolytic Viruses: A Promising Solution for Relapse Prevention after Autologous Hematopoietic Stem Cell Transplantation
20212
7 20211
8 202114
9 20219
10 202125
11 20214
12 20211
13 20211
14 202086
15 20206
16
Breast cancer: Biology, biomarkers, and treatmentsbreakdown →
2020566
17 201818
18 2017118
19 20096
20
Designing of ELISA kit for diagnosis of anti-Toxoplasma specific IgG, using exerted/secreted antigens and its
20081

About Mohammad Hossein Kazemi

Mohammad Hossein Kazemi is a scholar working on Hematology, Immunology and Physiology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), IL-33, ST2, and ILC Pathways (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), COVID-19 Clinical Research Studies (3 papers), CAR-T cell therapy research (3 papers), Immune cells in cancer (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Physiology (138 citations), Cancer Research (240 citations) and Oncology (398 citations). Mohammad Hossein Kazemi has collaborated with scholars based in Iran, United States and Sweden. Frequent co-authors include Elahe Safari, Shima Moradi‐Kalbolandi, Khadijeh Barzaman, Leila Farahmand, Jafar Karami, Zeinab Zarei‐Behjani, Ghasem Ghalamfarsa, Farhad Jadidi‐Niaragh, Mohammad Hojjat‐Farsangi and Hossein Khorramdelazad. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

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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