Nicholas Trahearn

424 total citations
11 papers, 196 citations indexed

About

Nicholas Trahearn is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nicholas Trahearn has authored 11 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nicholas Trahearn's work include AI in cancer detection (5 papers), Cancer Genomics and Diagnostics (4 papers) and Medical Image Segmentation Techniques (3 papers). Nicholas Trahearn is often cited by papers focused on AI in cancer detection (5 papers), Cancer Genomics and Diagnostics (4 papers) and Medical Image Segmentation Techniques (3 papers). Nicholas Trahearn collaborates with scholars based in United Kingdom, Italy and Qatar. Nicholas Trahearn's co-authors include Nasir Rajpoot, David Snead, Shan E Ahmed Raza, Najah Alsubaie, Ian A. Cree, Andrea Sottoriva, Benjamin Werner, Carlo C. Maley, Rosemary Burke and Georgios Vlachogiannis and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Nicholas Trahearn

11 papers receiving 194 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Trahearn United Kingdom	6	90	65	58	51	43	11	196
Yves‐Rémi Van Eycke Belgium	8	90 1.0×	39 0.6×	42 0.7×	25 0.5×	38 0.9×	12	200
Chiara Maria Lavinia Loeffler Germany	8	108 1.2×	14 0.2×	43 0.7×	74 1.5×	24 0.6×	12	240
Eva Bozsaky Austria	10	44 0.5×	37 0.6×	81 1.4×	33 0.6×	49 1.1×	18	292
Ksenija Kanjer Serbia	13	93 1.0×	34 0.5×	90 1.6×	55 1.1×	35 0.8×	32	336
Ivy Liang United States	2	228 2.5×	72 1.1×	52 0.9×	34 0.7×	33 0.8×	3	385
Henrik Failmezger Germany	9	211 2.3×	68 1.0×	337 5.8×	117 2.3×	116 2.7×	15	671
Barbara Weyn Belgium	12	103 1.1×	75 1.2×	120 2.1×	28 0.5×	40 0.9×	20	388
Igor Odintsov United States	5	143 1.6×	52 0.8×	40 0.7×	26 0.5×	24 0.6×	15	260
Arthur Jones United States	7	50 0.6×	62 1.0×	267 4.6×	85 1.7×	102 2.4×	9	482
Ju Han United States	13	229 2.5×	220 3.4×	104 1.8×	47 0.9×	150 3.5×	23	482

Countries citing papers authored by Nicholas Trahearn

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Trahearn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Trahearn

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

All Works

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11 of 11 papers shown

Trahearn, Nicholas, Seung Hyun Lee, Ann‐Marie Baker, et al.. (2025). Computational pathology applied to clinical colorectal cancer cohorts identifies immune and endothelial cell spatial patterns predictive of outcome. The Journal of Pathology. 265(2). 198–210. 1 indexed citations

Kessler, Ketty, Nicholas Trahearn, Benjamin Werner, et al.. (2022). Quantification of spatial subclonal interactions enhancing the invasive phenotype of pediatric glioma. Cell Reports. 40(9). 111283–111283. 12 indexed citations

Hamidinekoo, Azam, Anna Kelsey, Nicholas Trahearn, et al.. (2021). Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images. 94–104. 1 indexed citations

Acar, Ahmet, Daniel Nichol, Javier Fernández-Mateos, et al.. (2020). Exploiting evolutionary steering to induce collateral drug sensitivity in cancer. Nature Communications. 11(1). 1923–1923. 70 indexed citations

Trahearn, Nicholas, Andreas Heindl, Susana Banerjee, et al.. (2019). Analysis of tumour ecological balance reveals resource-dependent adaptive strategies of ovarian cancer. EBioMedicine. 48. 224–235. 7 indexed citations

Trahearn, Nicholas, et al.. (2017). Hyper-Stain Inspector: A Framework for Robust Registration and Localised Co-Expression Analysis of Multiple Whole-Slide Images of Serial Histology Sections. Scientific Reports. 7(1). 5641–5641. 17 indexed citations

Alsubaie, Najah, Nicholas Trahearn, Shan E Ahmed Raza, David Snead, & Nasir Rajpoot. (2017). Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation. PLoS ONE. 12(1). e0169875–e0169875. 56 indexed citations

Trahearn, Nicholas, et al.. (2016). Simultaneous automatic scoring and co‐registration of hormone receptors in tumor areas in whole slide images of breast cancer tissue slides. Cytometry Part A. 91(6). 585–594. 5 indexed citations

Alsubaie, Najah, Nicholas Trahearn, Shan E Ahmed Raza, & Nasir Rajpoot. (2015). A Discriminative Framework for Stain Deconvolution of Histopathology Images in the Maxwellian Space. 132–137. 2 indexed citations

10.

Trahearn, Nicholas, David Snead, Ian A. Cree, & Nasir Rajpoot. (2015). Multi-class stain separation using independent component analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9420. 94200J–94200J. 21 indexed citations

11.

Trahearn, Nicholas, et al.. (2014). A fast method for approximate registration of whole-slide images of serial sections using local curvature. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9041. 90410E–90410E. 4 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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