Bryan J. Cannon

439 total citations
11 papers, 197 citations indexed

About

Bryan J. Cannon is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Mechanical Engineering. According to data from OpenAlex, Bryan J. Cannon has authored 11 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biophysics, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Mechanical Engineering. Recurrent topics in Bryan J. Cannon's work include Cell Image Analysis Techniques (4 papers), Single-cell and spatial transcriptomics (2 papers) and AI in cancer detection (2 papers). Bryan J. Cannon is often cited by papers focused on Cell Image Analysis Techniques (4 papers), Single-cell and spatial transcriptomics (2 papers) and AI in cancer detection (2 papers). Bryan J. Cannon collaborates with scholars based in United States, Canada and Germany. Bryan J. Cannon's co-authors include Diann Brei, Sarah Kongpachith, William H. Robinson, Julia Z. Adamska, Nithya Lingampalli, Lisa K. Blum, Serra E. Elliott, Rong Mao, Noah F. Greenwald and Michael Angelo and has published in prestigious journals such as Nature Communications, Composites Science and Technology and Arthritis & Rheumatology.

In The Last Decade

Bryan J. Cannon

9 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan J. Cannon United States 7 53 47 46 34 33 11 197
Y. Shindo Japan 9 73 1.4× 66 1.4× 53 1.2× 39 1.1× 8 0.2× 17 373
Hongtao Dong China 12 26 0.5× 14 0.3× 90 2.0× 48 1.4× 16 0.5× 27 302
Jingwei Shi China 15 18 0.3× 49 1.0× 102 2.2× 92 2.7× 5 0.2× 50 632
Ajita Deodhar United States 8 17 0.3× 166 3.5× 37 0.8× 81 2.4× 7 0.2× 14 467
Jia Tan China 11 12 0.2× 25 0.5× 54 1.2× 34 1.0× 34 1.0× 30 349
Hidetaka Kinoshita Japan 12 5 0.1× 50 1.1× 134 2.9× 13 0.4× 14 0.4× 53 445
Lars Frich Norway 10 23 0.4× 91 1.9× 34 0.7× 6 0.2× 5 0.2× 20 296
Lasse Kling Germany 7 15 0.3× 58 1.2× 70 1.5× 115 3.4× 5 0.2× 13 296

Countries citing papers authored by Bryan J. Cannon

Since Specialization
Citations

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

Fields of papers citing papers by Bryan J. Cannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan J. Cannon. 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 Bryan J. Cannon. The network helps show where Bryan J. Cannon may publish in the future.

Co-authorship network of co-authors of Bryan J. Cannon

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

All Works

11 of 11 papers shown
1.
Liu, Candace C., Noah F. Greenwald, Alex Kong, et al.. (2023). Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering. Nature Communications. 14(1). 4618–4618. 28 indexed citations
2.
Bai, Yunhao, Bokai Zhu, Bryan J. Cannon, et al.. (2023). Expanded vacuum-stable gels for multiplexed high-resolution spatial histopathology. Nature Communications. 14(1). 4013–4013. 15 indexed citations
3.
Bai, Yunhao, Bokai Zhu, Bryan J. Cannon, et al.. (2023). MIBI dataset for Expanded Vacuum-Stable Gels for Multiplexed High Resolution Spatial Histopathology. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Vijayaragavan, Kausalia, Bryan J. Cannon, Marc Bossé, et al.. (2022). Single-Cell Spatial Proteomic Imaging for Human Neuropathology. SSRN Electronic Journal.
5.
Elliott, Serra E., Sarah Kongpachith, Nithya Lingampalli, et al.. (2020). B cells in rheumatoid arthritis synovial tissues encode focused antibody repertoires that include antibodies that stimulate macrophage TNF-α production. Clinical Immunology. 212. 108360–108360. 20 indexed citations
6.
Elliott, Serra E., Sarah Kongpachith, Nithya Lingampalli, et al.. (2018). Affinity Maturation Drives Epitope Spreading and Generation of Proinflammatory Anti–Citrullinated Protein Antibodies in Rheumatoid Arthritis. Arthritis & Rheumatology. 70(12). 1946–1958. 56 indexed citations
7.
Cannon, Bryan J., Joel A. Kirsh, Kathryn K. Collins, et al.. (2006). AB21-2. Heart Rhythm. 3(5). S43–S43.
8.
Brei, Diann & Bryan J. Cannon. (2003). Piezoceramic hollow fiber active composites. Composites Science and Technology. 64(2). 245–261. 50 indexed citations
9.
Cannon, Bryan J. & Diann Brei. (2000). Feasibility Study of Microfabrication by Coextrusion (MFCX) Hollow Fibers for Active Composites. Journal of Intelligent Material Systems and Structures. 11(9). 659–670. 7 indexed citations
10.
Cannon, Bryan J. & Diann Brei. (2000). Feasibility Study of Microfabrication by Coextrusion (MFCX) Hollow Fibers for Active Composites. Journal of Intelligent Material Systems and Structures. 11(9). 659–670. 19 indexed citations
11.
Cannon, Bryan J. & Diann Brei. (2000). <title>Feasibility study of microfabrication by coextrusion (MFCX) hollow fibers for active composites</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3992. 65–78. 1 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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