Graham L. Barlow

2.2k total citations · 1 hit paper
15 papers, 860 citations indexed

About

Graham L. Barlow is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Graham L. Barlow has authored 15 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Graham L. Barlow's work include Cancer Immunotherapy and Biomarkers (4 papers), Diabetes and associated disorders (3 papers) and Single-cell and spatial transcriptomics (3 papers). Graham L. Barlow is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Diabetes and associated disorders (3 papers) and Single-cell and spatial transcriptomics (3 papers). Graham L. Barlow collaborates with scholars based in United States, Germany and Switzerland. Graham L. Barlow's co-authors include Garry P. Nolan, Salil S. Bhate, Christian M. Schürch, Darci J. Phillips, Yury Goltsev, János Demeter, Nikolay Samusik, Sarah Black, Pauline Chu and Inti Zlobec and has published in prestigious journals such as Cell, Nature Communications and Blood.

In The Last Decade

Graham L. Barlow

12 papers receiving 847 citations

Hit Papers

align trajectories sort by overperformance

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.

Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front

2020 499 citations Christian M. Schürch, Salil S. Bhate et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Graham L. Barlow United States	7	493	266	247	220	115	15	860
Gustavo Vazquez United States	4	665 1.3×	184 0.7×	214 0.9×	294 1.3×	125 1.1×	6	927
Xiao Tan Australia	9	587 1.2×	150 0.6×	205 0.8×	120 0.5×	167 1.5×	13	834
Daniel Schmolze United States	15	278 0.6×	254 1.0×	160 0.6×	198 0.9×	136 1.2×	41	791
Luca Noti United States	3	305 0.6×	185 0.7×	160 0.6×	126 0.6×	83 0.7×	4	513
Julia Kennedy‐Darling United States	9	943 1.9×	259 1.0×	293 1.2×	363 1.6×	181 1.6×	18	1.3k
Samir Jain India	4	376 0.8×	259 1.0×	204 0.8×	117 0.5×	142 1.2×	9	666
Nikesh Kotecha United States	7	564 1.1×	191 0.7×	299 1.2×	124 0.6×	59 0.5×	13	990
Diana M. Marquez United States	6	730 1.5×	523 2.0×	530 2.1×	195 0.9×	224 1.9×	10	1.4k
Sarah Black United States	8	1.2k 2.5×	483 1.8×	473 1.9×	483 2.2×	259 2.3×	11	1.8k
Quentin Lécrevisse Spain	16	385 0.8×	224 0.8×	292 1.2×	54 0.2×	64 0.6×	35	933

Countries citing papers authored by Graham L. Barlow

Since Specialization

Citations

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

Fields of papers citing papers by Graham L. Barlow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham L. Barlow. 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 Graham L. Barlow. The network helps show where Graham L. Barlow may publish in the future.

Co-authorship network of co-authors of Graham L. Barlow

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

All Works

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15 of 15 papers shown

Barlow, Graham L., Christian M. Schürch, Salil S. Bhate, et al.. (2025). The extra-islet pancreas supports autoimmunity in human type 1 diabetes. eLife. 13. 2 indexed citations

Quandt, Zoe, Arabella Young, Graham L. Barlow, et al.. (2025). Autoimmune origin for immune checkpoint inhibitor-diabetes revealed by deep immune phenotyping of the pancreas. Journal for ImmunoTherapy of Cancer. 13(8). e011818–e011818.

Barlow, Graham L., Christian M. Schürch, Salil S. Bhate, et al.. (2024). The extra-islet pancreas supports autoimmunity in human type 1 diabetes. eLife. 13. 1 indexed citations

Hickey, John W., Chiara Caraccio, Yuqi Tan, et al.. (2023). T cell-mediated curation and restructuring of tumor tissue coordinates an effective immune response. Cell Reports. 42(12). 113494–113494. 12 indexed citations

Lee, Michael Y., Salil S. Bhate, Graham L. Barlow, et al.. (2022). CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images. BMC Bioinformatics. 23(1). 46–46. 54 indexed citations

Rovira‐Clavé, Xavier, Sizun Jiang, Yunhao Bai, et al.. (2021). Subcellular localization of biomolecules and drug distribution by high-definition ion beam imaging. Nature Communications. 12(1). 4628–4628. 52 indexed citations

Bhate, Salil S., Graham L. Barlow, Christian M. Schürch, & Garry P. Nolan. (2021). Tissue schematics map the specialization of immune tissue motifs and their appropriation by tumors. Cell Systems. 13(2). 109–130.e6. 46 indexed citations

Phillips, Darci J., Magdalena Matusiak, Belén Rivero‐Gutiérrez, et al.. (2021). Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma. Nature Communications. 12(1). 6726–6726. 124 indexed citations

Kennedy‐Darling, Julia, Salil S. Bhate, John W. Hickey, et al.. (2021). Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction. European Journal of Immunology. 51(5). 1262–1277. 52 indexed citations

10.

Schürch, Christian M., Salil S. Bhate, Graham L. Barlow, et al.. (2020). Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front. Cell. 182(5). 1341–1359.e19. 499 indexed citations breakdown →

11.

Schürch, Christian M., Salil S. Bhate, Graham L. Barlow, et al.. (2019). Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front. SSRN Electronic Journal. 6 indexed citations

12.

Schuerch, Christian, Darci J. Phillips, Salil S. Bhate, et al.. (2019). Dynamics of the Cutaneous T Cell Lymphoma Microenvironment in Patients Treated with Pembrolizumab Revealed By Highly Multiplexed Tissue Imaging. Blood. 134(Supplement_1). 1521–1521. 4 indexed citations

13.

Schuerch, Christian, Graham L. Barlow, Salil S. Bhate, et al.. (2018). Dynamics of the Bone Marrow Microenvironment during Leukemic Progression Revealed By Codex Hyper-Parameter Tissue Imaging. Blood. 132(Supplement 1). 935–935. 3 indexed citations

14.

Barlow, Graham L.. (1996). Organization development and leadership: R.B. Reid and the dynamics of success. Leadership & Organization Development Journal. 17(2). 3–8. 1 indexed citations

15.

Barlow, Graham L.. (1976). The Hôtel de Bourgogne According to Sir James Thornhill. Theatre Research International. 1(2). 86–98. 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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