Adrian Achuthan

2.7k total citations
45 papers, 2.0k citations indexed

About

Adrian Achuthan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Adrian Achuthan has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 14 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Adrian Achuthan's work include Immune cells in cancer (15 papers), Immune Response and Inflammation (12 papers) and Chemokine receptors and signaling (10 papers). Adrian Achuthan is often cited by papers focused on Immune cells in cancer (15 papers), Immune Response and Inflammation (12 papers) and Chemokine receptors and signaling (10 papers). Adrian Achuthan collaborates with scholars based in Australia, Germany and United Kingdom. Adrian Achuthan's co-authors include John A. Hamilton, Ming-Chin Lee, Andrew J. Fleetwood, Andrew D. Cook, Derek Lacey, Glen M. Scholz, Hang Thuy Dinh, Reem Saleh, Irmgard Förster and Eric C. Reynolds and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Adrian Achuthan

42 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian Achuthan Australia 24 1.1k 542 387 207 169 45 2.0k
Guangjie Chen China 26 1.1k 1.0× 523 1.0× 233 0.6× 440 2.1× 107 0.6× 78 2.3k
Joanne Smith United Kingdom 7 705 0.6× 527 1.0× 194 0.5× 101 0.5× 341 2.0× 8 1.5k
Maria C. Lebre Netherlands 21 949 0.8× 498 0.9× 389 1.0× 390 1.9× 106 0.6× 75 2.0k
Joseph J. Goellner United States 16 745 0.7× 1.1k 2.0× 494 1.3× 147 0.7× 164 1.0× 23 2.3k
Sujata Sarkar United States 14 1.0k 0.9× 253 0.5× 279 0.7× 309 1.5× 81 0.5× 21 1.6k
Laurence Preisser France 22 1.5k 1.3× 681 1.3× 543 1.4× 161 0.8× 126 0.7× 45 2.6k
Kyung‐Hyun Park‐Min United States 28 1.3k 1.1× 1.3k 2.5× 708 1.8× 354 1.7× 394 2.3× 49 2.8k
Guixiu Shi China 28 857 0.8× 759 1.4× 314 0.8× 448 2.2× 265 1.6× 122 2.4k
Stefan Uderhardt Germany 20 792 0.7× 928 1.7× 207 0.5× 322 1.6× 176 1.0× 34 2.1k
Genevieve Whitty Australia 21 1.4k 1.2× 757 1.4× 651 1.7× 254 1.2× 242 1.4× 35 2.9k

Countries citing papers authored by Adrian Achuthan

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Achuthan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Achuthan

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Achuthan. A scholar is included among the top collaborators of Adrian Achuthan 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 Adrian Achuthan. Adrian Achuthan 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.
Sharma, Amit, et al.. (2025). The Role of TIM-3 in Glioblastoma Progression. Cells. 14(5). 346–346. 2 indexed citations
2.
3.
Wilson, Nicholas J., et al.. (2025). Cellular interactions in maintaining an inflammatory microenvironment in rheumatoid arthritis. Molecular Immunology. 184. 112–122. 5 indexed citations
4.
Lee, Ming-Chin, et al.. (2024). IL-23p19 in osteoarthritic pain and disease. Osteoarthritis and Cartilage. 32(11). 1413–1418. 1 indexed citations
5.
Nie, Shuai, Nicholas A. Williamson, George Kannourakis, et al.. (2024). Interleukin-11/IL-11 Receptor Promotes Glioblastoma Cell Proliferation, Epithelial–Mesenchymal Transition, and Invasion. Brain Sciences. 14(1). 89–89. 2 indexed citations
6.
Lee, Ming-Chin, John A. Hamilton, Hong‐Jian Zhu, et al.. (2024). Signaling pathways underlying TGF-β mediated suppression of IL-12A gene expression in monocytes. Molecular Immunology. 166. 101–109. 5 indexed citations
7.
Achuthan, Adrian, Mark Biondo, Bronwyn A. Kingwell, et al.. (2023). The GM-CSF/CCL17 pathway in obesity-associated osteoarthritic pain and disease in mice. Osteoarthritis and Cartilage. 31(10). 1327–1341. 6 indexed citations
8.
Hamilton, John A., et al.. (2023). CCL17/TARC in autoimmunity and inflammation—not just a T‐cell chemokine. Immunology and Cell Biology. 101(7). 600–609. 30 indexed citations
9.
Bezawork‐Geleta, Ayenachew, Jordan Jones, Hong Nguyen, et al.. (2023). The Interleukin-11/IL-11 Receptor Promotes Glioblastoma Survival and Invasion under Glucose-Starved Conditions through Enhanced Glutaminolysis. International Journal of Molecular Sciences. 24(4). 3356–3356. 5 indexed citations
10.
Hamilton, John A., et al.. (2023). Targeting transcription factors for therapeutic benefit in rheumatoid arthritis. Frontiers in Immunology. 14. 1196931–1196931. 23 indexed citations
11.
Perez‐Gonzalez, Alexis, Khashayar Khoshmanesh, Rodney B. Luwor, et al.. (2023). Label-free macrophage phenotype classification using machine learning methods. Scientific Reports. 13(1). 5202–5202. 24 indexed citations
12.
Lee, Ming-Chin, et al.. (2020). Targeting GM-CSF for collagenase-induced osteoarthritis pain and disease in mice. Osteoarthritis and Cartilage. 28(4). 486–491. 37 indexed citations
13.
Lee, Ming-Chin, Zihao Zhang, Adrian Achuthan, et al.. (2020). IL-23 in arthritic and inflammatory pain development in mice. Arthritis Research & Therapy. 22(1). 123–123. 18 indexed citations
14.
Lee, Ming-Chin, Adrian Achuthan, & John A. Hamilton. (2020). <p>GM-CSF: A Promising Target in Inflammation and Autoimmunity</p>. ImmunoTargets and Therapy. Volume 9. 225–240. 92 indexed citations
15.
Souza, David P. De, Adrian Achuthan, Man K.S. Lee, et al.. (2019). Autocrine IFN-I inhibits isocitrate dehydrogenase in the TCA cycle of LPS-stimulated macrophages. Journal of Clinical Investigation. 129(10). 4239–4244. 56 indexed citations
16.
Lee, Ming-Chin, et al.. (2018). Epigenetic and transcriptional regulation of IL4-induced CCL17 production in human monocytes and murine macrophages. Journal of Biological Chemistry. 293(29). 11415–11423. 44 indexed citations
17.
Cook, Andrew D., Ming-Chin Lee, Reem Saleh, et al.. (2018). TNF and granulocyte macrophage-colony stimulating factor interdependence mediates inflammation via CCL17. JCI Insight. 3(6). 44 indexed citations
18.
Fleetwood, Andrew J., Neil M. O’Brien‐Simpson, Paul D. Veith, et al.. (2015). Porphyromonas gingivalis-derived RgpA-Kgp Complex Activates the Macrophage Urokinase Plasminogen Activator System. Journal of Biological Chemistry. 290(26). 16031–16042. 19 indexed citations
19.
Lacey, Derek, Adrian Achuthan, Andrew J. Fleetwood, et al.. (2012). Defining GM-CSF– and Macrophage-CSF–Dependent Macrophage Responses by In Vitro Models. The Journal of Immunology. 188(11). 5752–5765. 410 indexed citations
20.
Hamilton, John A. & Adrian Achuthan. (2012). Colony stimulating factors and myeloid cell biology in health and disease. Trends in Immunology. 34(2). 81–89. 216 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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