Spencer A. Thomas

1.4k total citations · 1 hit paper
52 papers, 638 citations indexed

About

Spencer A. Thomas is a scholar working on Artificial Intelligence, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Spencer A. Thomas has authored 52 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Molecular Biology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Spencer A. Thomas's work include AI in cancer detection (9 papers), Machine Learning in Healthcare (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Spencer A. Thomas is often cited by papers focused on AI in cancer detection (9 papers), Machine Learning in Healthcare (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Spencer A. Thomas collaborates with scholars based in United Kingdom, United States and Italy. Spencer A. Thomas's co-authors include Yaochu Jin, Peter C. Harris, Josephine Bunch, Ian S. Gilmore, Carlos López‐Larrea, Peter J. Ratcliffe, M.H. Breuning, Eliécer Coto, Rory T. Steven and Paul J. Catalano and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Spencer A. Thomas

45 papers receiving 619 citations

Hit Papers

Large language models to identify social determinants of ... 2024 2026 2025 2024 25 50 75 100
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.

  1. Large language models to identify social determinants of health in electronic health records
    2024 119 citations Marco Guevara-Vega, Shan Chen et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Spencer A. Thomas United Kingdom 13 197 152 138 77 56 52 638
Chen Yanover Israel 19 534 2.7× 275 1.8× 53 0.4× 83 1.1× 107 1.9× 53 1.2k
Zhenyu Yang China 16 78 0.4× 87 0.6× 15 0.1× 137 1.8× 132 2.4× 82 755
Alexis Allot United States 14 521 2.6× 281 1.8× 116 0.8× 39 0.5× 148 2.6× 23 1.0k
Frank J. Manion United States 15 253 1.3× 174 1.1× 53 0.4× 20 0.3× 64 1.1× 31 592
Sander De Bruyne Belgium 13 107 0.5× 49 0.3× 16 0.1× 57 0.7× 151 2.7× 44 621
Christine Leon Swisher United States 10 168 0.9× 60 0.4× 34 0.2× 42 0.5× 103 1.8× 14 514
Arvind Rao United States 10 115 0.6× 66 0.4× 8 0.1× 80 1.0× 225 4.0× 21 594
Toan T. Huynh United States 13 175 0.9× 19 0.1× 25 0.2× 84 1.1× 28 0.5× 37 674
Javier Rodríguez Colombia 16 323 1.6× 46 0.3× 32 0.2× 52 0.7× 20 0.4× 117 1.0k
Julian Gilbey United Kingdom 7 108 0.5× 255 1.7× 12 0.1× 27 0.4× 408 7.3× 10 792

Countries citing papers authored by Spencer A. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Spencer A. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Spencer A. Thomas. 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 Spencer A. Thomas. The network helps show where Spencer A. Thomas may publish in the future.

Co-authorship network of co-authors of Spencer A. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Spencer A. Thomas. A scholar is included among the top collaborators of Spencer A. Thomas 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 Spencer A. Thomas. Spencer A. Thomas 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.
Yoon, Wonjin, Boyu Ren, Spencer A. Thomas, et al.. (2025). Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction. PubMed. 2025. 28025–28042.
2.
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Claridge, Hugh, Elizabeth A. Cooke, Spencer A. Thomas, Nan Greenwood, & Agnieszka Lemańska. (2025). Pancreatic Cancer Risk Assessment Tools in Primary Care: A Mixed Methods Systematic Review. Journal of Gastrointestinal Cancer. 56(1). 128–128.
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Romanchikova, Marina, et al.. (2024). Quantifying measurement uncertainty in renal transplant biopsy assessment. SHILAP Revista de lepidopterología. 4. 1458491–1458491. 1 indexed citations
6.
Claridge, Hugh, Elizabeth A. Cooke, Simon de Lusignan, et al.. (2024). Determining the feasibility of calculating pancreatic cancer risk scores for people with new-onset diabetes in primary care (DEFEND PRIME): study protocol. BMJ Open. 14(1). e079863–e079863. 1 indexed citations
7.
Bacci, Barbara, Nicholas J. Bacon, Michael J. Dark, et al.. (2024). Keeping Pathologists in the Loop and an Adaptive F1-Score Threshold Method for Mitosis Detection in Canine Perivascular Wall Tumours. Cancers. 16(3). 644–644. 9 indexed citations
8.
Guevara-Vega, Marco, Shan Chen, Spencer A. Thomas, et al.. (2024). Large language models to identify social determinants of health in electronic health records. npj Digital Medicine. 7(1). 6–6. 119 indexed citations breakdown →
9.
Thomas, Spencer A., et al.. (2024). Navigating Noise and Texture: Motion Compensation Methodology for Fluorescence Lifetime Imaging in Pulmonary Research. PubMed. 2024. 1–5. 1 indexed citations
10.
Thomas, Spencer A., et al.. (2024). Sensitivity Analysis of Gamma Index Calculations for Dosimetry Audits in Advanced Radiotherapy. PubMed. 2024. 1–5. 1 indexed citations
11.
Thomas, Spencer A., et al.. (2023). A tool for curating and searching databases proving traceable analysis of data and workflows. ACTA IMEKO. 12(1). 1–6.
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Burkhart, Michael C., et al.. (2023). AI‐guided patient stratification for neurodegenerative disorders using unsupervised trajectory modelling. Alzheimer s & Dementia. 19(S16). 1 indexed citations
14.
Bacci, Barbara, Nicholas J. Bacon, Tawfik Aboellail, et al.. (2022). Deep learning for necrosis detection using canine perivascular wall tumour whole slide images. Scientific Reports. 12(1). 10634–10634. 8 indexed citations
15.
Romanchikova, Marina, et al.. (2022). The need for measurement science in digital pathology. Journal of Pathology Informatics. 13. 100157–100157. 10 indexed citations
16.
Lemańska, Agnieszka, Sara Faithfull, Harshana Liyanage, et al.. (2020). Primary Care Prostate Cancer Case Ascertainment. Studies in health technology and informatics. 270. 1369–1370. 2 indexed citations
17.
Lusignan, Simon de, et al.. (2019). Analysis of Primary Care Computerised Medical Records with Deep Learning.. Oxford University Research Archive (ORA) (University of Oxford). 258. 249–250. 3 indexed citations
18.
Thomas, Spencer A., et al.. (2016). Analyzing regime shifts in agent-based models with equation-free analysis. ScholarsArchive (Brigham Young University). 2 indexed citations
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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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