James Monkman

1.5k total citations
41 papers, 770 citations indexed

About

James Monkman is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, James Monkman has authored 41 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 18 papers in Molecular Biology and 17 papers in Immunology. Recurrent topics in James Monkman's work include Cancer Immunotherapy and Biomarkers (16 papers), Immune cells in cancer (12 papers) and Single-cell and spatial transcriptomics (9 papers). James Monkman is often cited by papers focused on Cancer Immunotherapy and Biomarkers (16 papers), Immune cells in cancer (12 papers) and Single-cell and spatial transcriptomics (9 papers). James Monkman collaborates with scholars based in Australia, United Kingdom and United States. James Monkman's co-authors include Arutha Kulasinghe, Kenneth J. O’Byrne, Rahul Ladwa, Majid Ebrahimi Warkiani, Habib Sadeghi Rad, Nima Rezaei, Shivashankar H. Nagaraj, Erik W. Thompson, Sugandha Bhatia and Tony Blick and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

James Monkman

38 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Monkman Australia 15 357 301 208 180 108 41 770
Kotaro Miyake Japan 14 328 0.9× 342 1.1× 205 1.0× 132 0.7× 120 1.1× 59 864
Wadie D. Mahauad‐Fernandez United States 11 248 0.7× 583 1.9× 186 0.9× 191 1.1× 81 0.8× 19 931
Olatz Zenarruzabeitia Spain 18 406 1.1× 271 0.9× 779 3.7× 147 0.8× 68 0.6× 35 1.2k
Ernest Dodoo Sweden 15 314 0.9× 213 0.7× 335 1.6× 94 0.5× 183 1.7× 40 890
Sukeshi Patel Arora United States 14 452 1.3× 290 1.0× 146 0.7× 92 0.5× 92 0.9× 59 868
Alice Guyard France 9 497 1.4× 336 1.1× 243 1.2× 209 1.2× 214 2.0× 25 902
Huihua Zhang China 14 363 1.0× 322 1.1× 151 0.7× 78 0.4× 105 1.0× 38 757
Shigeto Kawai Japan 14 188 0.5× 339 1.1× 281 1.4× 67 0.4× 38 0.4× 28 837
Rebecca Ruhl United States 15 560 1.6× 328 1.1× 187 0.9× 193 1.1× 56 0.5× 23 967
Qunxing Li China 15 281 0.8× 464 1.5× 195 0.9× 385 2.1× 104 1.0× 30 925

Countries citing papers authored by James Monkman

Since Specialization
Citations

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

Fields of papers citing papers by James Monkman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Monkman

This figure shows the co-authorship network connecting the top 25 collaborators of James Monkman. A scholar is included among the top collaborators of James Monkman 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 James Monkman. James Monkman 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.
Tan, Xiao, Eun Ju Kim, Jazmina L. Gonzalez Cruz, et al.. (2025). Cell–cell interactions as predictive and prognostic markers for drug responses in cancer. Genome Medicine. 17(1). 117–117.
2.
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.
3.
Aung, Thazin Nwe, James Monkman, Jonathan Warrell, et al.. (2025). Spatial signatures for predicting immunotherapy outcomes using multi-omics in non-small cell lung cancer. Nature Genetics. 57(10). 2482–2493. 3 indexed citations
4.
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
5.
Ma, Ning, Bassem Ben Cheikh, Jacky Y. Suen, et al.. (2024). Protocol for high-plex, whole-slide imaging of human formalin-fixed paraffin-embedded tissue using PhenoCycler-Fusion. STAR Protocols. 5(3). 103226–103226. 8 indexed citations
6.
Monkman, James, Tony Blick, Kenneth J. O’Byrne, et al.. (2024). Spatial resolution of the head and neck cancer tumor microenvironment to identify tumor and stromal features associated with therapy response. Immunology and Cell Biology. 102(9). 830–846. 9 indexed citations
7.
Shah, Esha T., Christopher J. Molloy, Thomas Kryza, et al.. (2024). Inhibition of Aurora B kinase (AURKB) enhances the effectiveness of 5-fluorouracil chemotherapy against colorectal cancer cells. British Journal of Cancer. 130(7). 1196–1205. 8 indexed citations
8.
Ahmed, Emtiaz, Arutha Kulasinghe, James Monkman, et al.. (2024). A Mesoporous Gold Sensor Unveils Phospho PD-L1 in Extracellular Vesicles as a Proxy for PD-L1 Expression in Lung Cancer Tissue. ACS Sensors. 9(6). 3009–3016. 4 indexed citations
9.
10.
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
11.
Monkman, James, Afshin Moradi, Joseph Yunis, et al.. (2024). Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging. Journal of Translational Medicine. 22(1). 239–239. 15 indexed citations
12.
Ladwa, Rahul, James Monkman, Caroline Cooper, et al.. (2023). 1144P High-plex spatial profiling of cutaneous squamous cell carcinoma to identify biomarkers associated with clinical outcomes: The cMIC study. Annals of Oncology. 34. S685–S685.
13.
Monkman, James, Aaron T. Mayer, Ahmed M. Mehdi, et al.. (2023). Multi‐omic and spatial dissection of immunotherapy response groups in non‐small cell lung cancer. Immunology. 169(4). 487–502. 19 indexed citations
14.
Ravichandran, Akhilandeshwari, James Monkman, Ahmed M. Mehdi, et al.. (2023). The in situ transcriptomic landscape of breast tumour-associated and normal adjacent endothelial cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(2). 166985–166985. 1 indexed citations
15.
Pratapa, Aditya, Ning Ma, Bassem Ben Cheikh, et al.. (2023). Spatial phenotyping of cytokine signatures reflecting the immunotherapy responses in head and neck cancer. The Journal of Immunology. 210(Supplement_1). 171.09–171.09. 1 indexed citations
16.
17.
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
18.
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
19.
Sikulu-Lord, Maggy T., James Monkman, Keyur A. Dave, et al.. (2015). Mass spectrometry identification of age-associated proteins from the malaria mosquitoes Anopheles gambiae s.s. and Anopheles stephensi. Data in Brief. 4. 461–467. 6 indexed citations
20.
Hugo, Leon E., James Monkman, Keyur A. Dave, et al.. (2013). Proteomic Biomarkers for Ageing the Mosquito Aedes aegypti to Determine Risk of Pathogen Transmission. PLoS ONE. 8(3). e58656–e58656. 27 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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