Ashwin Sachdeva

3.0k total citations
52 papers, 1.1k citations indexed

About

Ashwin Sachdeva is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Analytical Chemistry. According to data from OpenAlex, Ashwin Sachdeva has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 12 papers in Oncology and 10 papers in Analytical Chemistry. Recurrent topics in Ashwin Sachdeva's work include Prostate Cancer Treatment and Research (20 papers), Spectroscopy Techniques in Biomedical and Chemical Research (9 papers) and Spectroscopy and Chemometric Analyses (7 papers). Ashwin Sachdeva is often cited by papers focused on Prostate Cancer Treatment and Research (20 papers), Spectroscopy Techniques in Biomedical and Chemical Research (9 papers) and Spectroscopy and Chemometric Analyses (7 papers). Ashwin Sachdeva collaborates with scholars based in United Kingdom, United States and Switzerland. Ashwin Sachdeva's co-authors include T. Lees, M. Nell Dalton, Peter Gardner, Paul Bassan, Noel W. Clarke, Alex Henderson, Jonathan H. Shanks, Shing Yip Lee, Marloes Peeters and C. Hughes and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ashwin Sachdeva

46 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashwin Sachdeva United Kingdom 17 271 270 254 253 175 52 1.1k
Pierfilippo Crucitti Italy 16 19 0.1× 79 0.3× 42 0.2× 361 1.4× 244 1.4× 65 810
Chang He China 15 5 0.0× 103 0.4× 60 0.2× 162 0.6× 107 0.6× 34 713
M. Leroux Canada 14 11 0.0× 222 0.8× 148 0.6× 47 0.2× 19 0.1× 36 777
Nima Abbassi‐Ghadi United Kingdom 19 14 0.1× 16 0.1× 29 0.1× 351 1.4× 192 1.1× 37 1.4k
Richard H. Sills United States 15 44 0.2× 50 0.2× 18 0.1× 55 0.2× 56 0.3× 33 590
Onno W. van Assendelft Netherlands 15 28 0.1× 30 0.1× 10 0.0× 69 0.3× 137 0.8× 35 1.1k
Russell M. Jones United Kingdom 18 36 0.1× 7 0.0× 20 0.1× 264 1.0× 224 1.3× 44 1.2k
Ian P. Clements United States 24 135 0.5× 28 0.1× 6 0.0× 870 3.4× 198 1.1× 76 2.4k
Katrin Milger Germany 24 21 0.1× 22 0.1× 9 0.0× 286 1.1× 898 5.1× 105 1.7k
Jochen Jarausch Germany 15 98 0.4× 19 0.1× 9 0.0× 387 1.5× 71 0.4× 26 2.1k

Countries citing papers authored by Ashwin Sachdeva

Since Specialization
Citations

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

Fields of papers citing papers by Ashwin Sachdeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwin Sachdeva

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin Sachdeva. A scholar is included among the top collaborators of Ashwin Sachdeva 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 Ashwin Sachdeva. Ashwin Sachdeva 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.
2.
Sachdeva, Ashwin, Claire A. Hart, Diego F. Sánchez, et al.. (2025). Identification of at-risk prostate cancer patients using Fourier transform infrared spectroscopy and machine learning. Research Explorer (The University of Manchester). 9–9. 1 indexed citations
3.
Hart, Claire A., Diego F. Sánchez, Pedro Oliveira, et al.. (2025). Full fingerprint hyperspectral imaging of prostate cancer tissue microarrays within clinical timeframes using quantum cascade laser microscopy. The Analyst. 150(9). 1741–1753. 1 indexed citations
5.
Moore, Christopher L., Ashwin Sachdeva, Diego F. Sánchez, et al.. (2024). Hypoxia Detection in Prostate Cancer with Oxygen-Enhanced BOLD MRI. International Journal of Radiation Oncology*Biology*Physics. 120(2). S160–S161.
6.
Gonzalez, Brian D., et al.. (2024). Balancing Hormone Therapy: Mitigating Adverse Effects of Androgen-Deprivation Therapy and Exploring Alternatives in Prostate Cancer Management. American Society of Clinical Oncology Educational Book. 44(3). e433126–e433126. 8 indexed citations
7.
Murphy, Laura, Macey L. Murray, Louise Brown, et al.. (2023). 1782P Prostate radiotherapy reduces long-term risk of obstructive uropathy in metastatic hormone sensitive prostate cancer (mHSPC): Results from the STAMPEDE M1|RT comparison. Annals of Oncology. 34. S963–S963. 4 indexed citations
8.
Stewart, Benjamin J., Martin Fergie, Matthew D. Young, et al.. (2023). Spatial and molecular profiling of the mononuclear phagocyte network in Classic Hodgkin lymphoma. Blood. 141(19). 2343–2358. 25 indexed citations
10.
Sachdeva, Ashwin, Claire A. Hart, M.D. Brown, et al.. (2023). Differential expression of PDL-1 and tumour-associated macrophages in N0 and N+ penile cancer.. Journal of Clinical Oncology. 41(6_suppl). 12–12.
11.
Haenni, Dominik, Jamal Bouitbir, Matthew Hunt, et al.. (2022). Integration of High-Throughput Imaging and Multiparametric Metabolic Profiling Reveals a Mitochondrial Mechanism of Tenofovir Toxicity. Function. 4(1). zqac065–zqac065. 4 indexed citations
13.
Sachdeva, Ashwin, Claire A. Hart, Christopher D. Carey, et al.. (2022). Automated quantitative high-throughput multiplex immunofluorescence pipeline to evaluate OXPHOS defects in formalin-fixed human prostate tissue. Scientific Reports. 12(1). 6660–6660. 4 indexed citations
14.
Roy, Chloé, et al.. (2020). The role of surgery in high risk and advanced prostate cancer: A narrative review. SHILAP Revista de lepidopterología. 47(1). S56–S64. 3 indexed citations
15.
Feeney, Catherine, Gráinne S. Gorman, Renae J. Stefanetti, et al.. (2020). Lower urinary tract dysfunction in adult patients with mitochondrial disease. Neurourology and Urodynamics. 39(8). 2253–2263. 5 indexed citations
16.
Canfarotta, Francesco, Joanna Czulak, Kaï Betlem, et al.. (2018). A novel thermal detection method based on molecularly imprinted nanoparticles as recognition elements. Nanoscale. 10(4). 2081–2089. 60 indexed citations
17.
Sachdeva, Ashwin, Jan van der Meulen, Mark Emberton, & Paul Cathcart. (2015). Evaluating variation in use of definitive therapy and risk-adjusted prostate cancer mortality in England and the USA. BMJ Open. 5(2). e006805–e006805. 2 indexed citations
18.
Ong, Lay Ping, et al.. (2015). Lung Transplant With Cardiopulmonary Bypass: Impact of Blood Transfusion on Rejection, Function, and Late Mortality. The Annals of Thoracic Surgery. 101(2). 512–519. 21 indexed citations
19.
Bassan, Paul, Ashwin Sachdeva, Shing Yip Lee, & Peter Gardner. (2013). Substrate contributions in micro-ATR of thin samples: implications for analysis of cells, tissue and biological fluids. The Analyst. 138(14). 4139–4139. 23 indexed citations
20.
Bassan, Paul, Ashwin Sachdeva, Jonathan H. Shanks, et al.. (2013). Whole organ cross-section chemical imaging using label-free mega-mosaic FTIR microscopy. The Analyst. 138(23). 7066–7066. 24 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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