Habib Sadeghirad

1.5k total citations · 1 hit paper
14 papers, 837 citations indexed

About

Habib Sadeghirad is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Habib Sadeghirad has authored 14 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 8 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Habib Sadeghirad's work include Cancer Immunotherapy and Biomarkers (9 papers), Immune cells in cancer (7 papers) and Single-cell and spatial transcriptomics (3 papers). Habib Sadeghirad is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Immune cells in cancer (7 papers) and Single-cell and spatial transcriptomics (3 papers). Habib Sadeghirad collaborates with scholars based in Australia, Iran and United States. Habib Sadeghirad's co-authors include Arutha Kulasinghe, Kenneth J. O’Byrne, Rahul Ladwa, Seyed Reza Hosseini‐Fard, Yavar Shiravand, Shadi Hosseini, Faezeh Khodadadi, Seyyed Mohammad Amin Kashani, John F. Fraser and Majid Ebrahimi Warkiani and has published in prestigious journals such as Cancer Research, Frontiers in Immunology and Current Opinion in Biotechnology.

In The Last Decade

Habib Sadeghirad

13 papers receiving 831 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Immune Checkpoint Inhibitors in Cancer Therapy

2022 721 citations Yavar Shiravand, Faezeh Khodadadi et al. Current Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Habib Sadeghirad Australia	7	509	298	238	146	82	14	837
Yavar Shiravand Italy	7	493 1.0×	285 1.0×	214 0.9×	147 1.0×	66 0.8×	9	844
Faezeh Khodadadi Iran	4	470 0.9×	265 0.9×	197 0.8×	135 0.9×	60 0.7×	6	749
C. Libenciuc France	3	680 1.3×	345 1.2×	191 0.8×	141 1.0×	70 0.9×	7	921
Gayathri Anandappa United Kingdom	8	392 0.8×	300 1.0×	183 0.8×	105 0.7×	101 1.2×	18	698
Huimin Tian China	18	448 0.9×	360 1.2×	313 1.3×	166 1.1×	143 1.7×	34	1.0k
Sangeetha M. Reddy United States	15	499 1.0×	248 0.8×	256 1.1×	139 1.0×	169 2.1×	29	830
Anna Maria Granato Italy	17	365 0.7×	211 0.7×	246 1.0×	101 0.7×	130 1.6×	38	657
Laurentiu M. Pop United States	19	318 0.6×	376 1.3×	297 1.2×	170 1.2×	88 1.1×	41	931
Earl Avramis United States	12	711 1.4×	457 1.5×	347 1.5×	100 0.7×	62 0.8×	15	986

Countries citing papers authored by Habib Sadeghirad

Since Specialization

Citations

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

Fields of papers citing papers by Habib Sadeghirad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Habib Sadeghirad

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

All Works

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14 of 14 papers shown

Monkman, James, Habib Sadeghirad, Tony Blick, et al.. (2025). Spatial interaction mapping of PD-1/PD-L1 in head and neck cancer reveals the role of macrophage-tumour barriers associated with immunotherapy response. Journal of Translational Medicine. 23(1). 177–177. 4 indexed citations

Tan, Chin Wee, James Monkman, Clara Lawler, et al.. (2025). The development of a high-plex spatial proteomic methodology for the characterisation of the head and neck tumour microenvironment. npj Precision Oncology. 9(1). 191–191.

Moradi, Afshin, et al.. (2024). Tissue biomarkers of immune checkpoint inhibitor therapy. Immunology and Cell Biology. 102(3). 179–193. 5 indexed citations

Sadeghirad, Habib, et al.. (2024). In situ characterization of the tumor microenvironment. Current Opinion in Biotechnology. 86. 103083–103083. 5 indexed citations

Sadeghirad, Habib, James Monkman, Chin Wee Tan, et al.. (2024). Spatial dynamics of tertiary lymphoid aggregates in head and neck cancer: insights into immunotherapy response. Journal of Translational Medicine. 22(1). 677–677. 12 indexed citations

Monkman, James, Habib Sadeghirad, Ahmed M. Mehdi, et al.. (2024). Spatial proteomic profiling of tumor and stromal compartments in non‐small‐cell lung cancer identifies signatures associated with overall survival. Clinical & Translational Immunology. 13(7). e1522–e1522. 3 indexed citations

Sadeghirad, Habib, James Monkman, Subham Basu, et al.. (2024). Abstract 5188: Defining PD-1/PD-L1 receptor-ligand interactions in the head and neck cancer tumor microenvironment identifies unique ‘immune cell rivers’ of cellular interactions. Cancer Research. 84(6_Supplement). 5188–5188. 1 indexed citations

Sadeghirad, Habib, et al.. (2023). Metabolomics at the tumor microenvironment interface: Decoding cellular conversations. Medicinal Research Reviews. 44(3). 1121–1146. 17 indexed citations

Sadeghirad, Habib, Ning Liu, James Monkman, et al.. (2023). Compartmentalized spatial profiling of the tumor microenvironment in head and neck squamous cell carcinoma identifies immune checkpoint molecules and tumor necrosis factor receptor superfamily members as biomarkers of response to immunotherapy. Frontiers in Immunology. 14. 1135489–1135489. 20 indexed citations

10.

Kulasinghe, Arutha, Habib Sadeghirad, Ning Liu, et al.. (2022). 117 High-plex spatial proteomic profiling of immunotherapy response groups in head and neck cancer identifies tissue signatures associated with therapy response. Regular and Young Investigator Award Abstracts. A129–A129. 1 indexed citations

11.

Sadeghirad, Habib, James Monkman, Ahmed M. Mehdi, et al.. (2022). Dissecting Tissue Compartment-Specific Protein Signatures in Primary and Metastatic Oropharyngeal Squamous Cell Carcinomas. Frontiers in Immunology. 13. 895513–895513. 6 indexed citations

12.

Shiravand, Yavar, Faezeh Khodadadi, Seyyed Mohammad Amin Kashani, et al.. (2022). Immune Checkpoint Inhibitors in Cancer Therapy. Current Oncology. 29(5). 3044–3060. 721 indexed citations breakdown →

13.

Sadeghirad, Habib, Tayyeb Bahrami, Hassan Yousefi, et al.. (2022). Immunotherapeutic targets in non‐small cell lung cancer. Immunology. 168(2). 256–272. 13 indexed citations

14.

Sato, Kei, Jane E. Sinclair, Habib Sadeghirad, et al.. (2021). Cardiovascular disease in SARS‐CoV‐2 infection. Clinical & Translational Immunology. 10(9). e1343–e1343. 29 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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