David Bruce

429 total citations
16 papers, 193 citations indexed

About

David Bruce is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, David Bruce has authored 16 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 6 papers in Pathology and Forensic Medicine and 5 papers in Oncology. Recurrent topics in David Bruce's work include Chronic Lymphocytic Leukemia Research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). David Bruce is often cited by papers focused on Chronic Lymphocytic Leukemia Research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). David Bruce collaborates with scholars based in United Kingdom, United States and Netherlands. David Bruce's co-authors include Michael Desborough, Tanya Sage, Neline Kriek, Craig E. Hughes, Amanda J. Unsworth, Alexander P. Bye, Catherine Hildyard, Jonathan M. Gibbins, Niamh Appleby and Lauren D. Holinger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

David Bruce

16 papers receiving 192 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Bruce United Kingdom 6 80 70 62 48 35 16 193
Annamaria Giordano Italy 9 51 0.6× 74 1.1× 39 0.6× 72 1.5× 50 1.4× 14 250
Hee‐Jo Baek South Korea 11 44 0.6× 38 0.5× 41 0.7× 116 2.4× 32 0.9× 36 283
Shahram Mori United States 9 50 0.6× 36 0.5× 159 2.6× 64 1.3× 72 2.1× 42 300
Carole Barin France 10 50 0.6× 35 0.5× 142 2.3× 101 2.1× 54 1.5× 16 302
Agnieszka Tomaszewska Poland 8 59 0.7× 52 0.7× 76 1.2× 35 0.7× 38 1.1× 27 194
Camila Lopes Veronez Brazil 11 179 2.2× 66 0.9× 51 0.8× 40 0.8× 12 0.3× 22 240
Masanori Kadowaki Japan 7 27 0.3× 43 0.6× 103 1.7× 56 1.2× 61 1.7× 20 227
Sai Huang China 11 42 0.5× 10 0.1× 152 2.5× 184 3.8× 29 0.8× 53 357
Mark Velangi United Kingdom 8 69 0.9× 23 0.3× 160 2.6× 84 1.8× 40 1.1× 17 251
Meltem Kurt Yüksel Türkiye 9 44 0.6× 29 0.4× 80 1.3× 27 0.6× 55 1.6× 60 211

Countries citing papers authored by David Bruce

Since Specialization
Citations

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

Fields of papers citing papers by David Bruce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bruce

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

All Works

16 of 16 papers shown
1.
Dura, Tina, Andra J. Garner, Andrea D. Hawkes, et al.. (2025). Increased flood exposure in the Pacific Northwest following earthquake-driven subsidence and sea-level rise. Proceedings of the National Academy of Sciences. 122(18). e2424659122–e2424659122. 2 indexed citations
2.
Thompson, Nicola, Grant D. Stewart, Sarah J. Welsh, et al.. (2022). The MITRE trial protocol: a study to evaluate the microbiome as a biomarker of efficacy and toxicity in cancer patients receiving immune checkpoint inhibitor therapy. BMC Cancer. 22(1). 99–99. 18 indexed citations
3.
Corrie, Pippa, Sarah J. Welsh, Grant D. Stewart, et al.. (2021). Identification of a microbiome signature predicting immune checkpoint inhibitor outcomes across multiple cancer types in the MITRE study.. Journal of Clinical Oncology. 39(15_suppl). TPS2665–TPS2665. 1 indexed citations
4.
Vervier, Kévin, Simon R. Harris, David J. Adams, et al.. (2021). Using precision microbiome profiling to develop a biomarker for immune checkpoint inhibitor response and a novel therapeutic.. Journal of Clinical Oncology. 39(15_suppl). e21546–e21546. 4 indexed citations
5.
Robinson, Matthew J., Kévin Vervier, Simon R. Harris, et al.. (2021). Abstract 1783: Precision microbiome profiling identifies a novel biomarker predictive of Immune Checkpoint Inhibitor response in multiple cohorts and a potent therapeutic consortium of bacteria. Cancer Research. 81(13_Supplement). 1783–1783. 1 indexed citations
6.
Robinson, Matthew, Kévin Vervier, Simon R. Harris, et al.. (2020). 673 Precision microbiome mapping identifies a microbiome signature predictive of Immune checkpoint inhibitor response across multiple research study cohorts. Regular and Young Investigator Award Abstracts. A404.1–A404. 5 indexed citations
7.
Smith, Victoria M., Oliver Lomas, Anna Schuh, et al.. (2020). Dual dependence on BCL2 and MCL1 in T-cell prolymphocytic leukemia. Blood Advances. 4(3). 525–529. 5 indexed citations
8.
Bruce, David, et al.. (2019). Application of Genomics to Clinical Practice in Haematological Malignancy. 7(4). 236–252. 2 indexed citations
9.
Ridout, Kate, Pauline Robbe, Dimitris Vavoulis, et al.. (2018). The Genomic Landscape of Chronic Lymphocytic Leukaemia: Clinical Implications. Clinical Lymphoma Myeloma & Leukemia. 18. S112–S115. 1 indexed citations
10.
Burns, Adam, David Bruce, Pauline Robbe, et al.. (2018). Detection of Clinically Relevant Molecular Alterations in Chronic Lymphocytic Leukemia (CLL) By Nanopore Sequencing. Blood. 132(Supplement 1). 1847–1847. 1 indexed citations
11.
Klintman, Jenny, Samantha J.L. Knight, Pauline Robbe, et al.. (2018). Clinical‐grade validation of whole genome sequencing reveals robust detection of low‐frequency variants and copy number alterations in CLL. British Journal of Haematology. 182(3). 412–417. 11 indexed citations
12.
Bye, Alexander P., Amanda J. Unsworth, Michael Desborough, et al.. (2017). Severe platelet dysfunction in NHL patients receiving ibrutinib is absent in patients receiving acalabrutinib. Blood Advances. 1(26). 2610–2623. 99 indexed citations
13.
Siddaramappa, Shivakumara, Jean F. Challacombe, A. J. Duncan, et al.. (2011). Horizontal gene transfer in Histophilus somni and its role in the evolution of pathogenic strain 2336, as determined by comparative genomic analyses. BMC Genomics. 12(1). 570–570. 22 indexed citations
14.
Suwa, Yuichi, Jeanette M. Norton, Annette Bollmann, et al.. (2011). Genome Sequence of Nitrosomonas sp. Strain AL212, an Ammonia-Oxidizing Bacterium Sensitive to High Levels of Ammonia. Journal of Bacteriology. 193(21). 6112–6112. 10 indexed citations
15.
Bruce, David & Timothy G. Berger. (1987). PUVA-induced pigmented macules: A case involving palmoplantar skin. Journal of the American Academy of Dermatology. 16(5). 1087–1090. 1 indexed citations
16.
Holinger, Lauren D., et al.. (1985). Management of an infant with prenatal ultrasound diagnosis of upper airway obstruction. International Journal of Pediatric Otorhinolaryngology. 10(3). 263–270. 10 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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