John A. Cole

807 total citations
47 papers, 627 citations indexed

About

John A. Cole is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John A. Cole has authored 47 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John A. Cole's work include Gene Regulatory Network Analysis (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Bioinformatics and Genomic Networks (7 papers). John A. Cole is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Bioinformatics and Genomic Networks (7 papers). John A. Cole collaborates with scholars based in United States, United Kingdom and Australia. John A. Cole's co-authors include Zaida Luthey‐Schulten, Joseph W. Bozzelli, Gabriel da Silva, Jamila Hedhli, Lars Köhler, J.R. Peterson, Elijah Roberts, Nathan D. Price, Tyler M. Earnest and David Karemera and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

John A. Cole

41 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John A. Cole United States	13	270	93	90	78	74	47	627
Jianxiang Tian China	18	137 0.5×	52 0.6×	457 5.1×	81 1.0×	112 1.5×	80	1.0k
Takashi Sakai Japan	18	447 1.7×	39 0.4×	34 0.4×	8 0.1×	15 0.2×	64	1.3k
Thomas J. Buckley United States	14	112 0.4×	11 0.1×	73 0.8×	21 0.3×	161 2.2×	25	534
Robert E. Hall United States	13	95 0.4×	9 0.1×	42 0.5×	17 0.2×	17 0.2×	22	576
Naoto Kondo Japan	23	579 2.1×	172 1.8×	121 1.3×		116 1.6×	126	2.2k
Yuhai Liu China	15	81 0.3×	5 0.1×	87 1.0×	7 0.1×	52 0.7×	39	711
Masaki Yamada Japan	18	667 2.5×	70 0.8×	100 1.1×		81 1.1×	52	1.3k
Rolf Mueller Germany	11	213 0.8×	76 0.8×	65 0.7×		37 0.5×	27	667
James G. Bradley United States	10	274 1.0×	34 0.4×	53 0.6×		30 0.4×	31	674
Ji Young Shin South Korea	15	223 0.8×	42 0.5×	37 0.4×		22 0.3×	68	667

Countries citing papers authored by John A. Cole

Since Specialization

Citations

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

Fields of papers citing papers by John A. Cole

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. Cole

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hedhli, Jamila, John A. Cole, MinWoo Kim, et al.. (2024). Facing the challenges of peripheral arterial disease in the era of emerging technologies. 2. 100095–100095. 1 indexed citations

Peterson, J.R., John A. Cole, John R. Pfeiffer, et al.. (2023). Novel computational biology modeling system can accurately forecast response to neoadjuvant therapy in early breast cancer. Breast Cancer Research. 25(1). 54–54. 8 indexed citations

Cook, Daniel E., Matthew Biancalana, Nicole Liadis, et al.. (2023). Next generation immuno-oncology tumor profiling using a rapid, non-invasive, computational biophysics biomarker in early-stage breast cancer. Frontiers in Artificial Intelligence. 6. 1153083–1153083. 4 indexed citations

Howard, Frederick M., J.R. Peterson, John R. Pfeiffer, et al.. (2022). Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform. Breast Cancer Research and Treatment. 196(1). 57–66. 6 indexed citations

Hedhli, Jamila, Min-Woo Kim, Hailey J. Knox, et al.. (2020). Imaging the Landmarks of Vascular Recovery. Theranostics. 10(4). 1733–1745. 11 indexed citations

Hedhli, Jamila, A. Czerwiński, Matthew J. Schuelke, et al.. (2017). Synthesis, Chemical Characterization and Multiscale Biological Evaluation of a Dimeric-cRGD Peptide for Targeted Imaging of α V β 3 Integrin Activity. Scientific Reports. 7(1). 3185–3185. 21 indexed citations

Peterson, J.R., John A. Cole, & Zaida Luthey‐Schulten. (2017). Parametric studies of metabolic cooperativity in Escherichia coli colonies: Strain and geometric confinement effects. PLoS ONE. 12(8). e0182570–e0182570. 12 indexed citations

Hedhli, Jamila, John A. Cole, Heather D. Huntsman, et al.. (2017). Multimodal Assessment of Mesenchymal Stem Cell Therapy for Diabetic Vascular Complications. Theranostics. 7(16). 3876–3888. 21 indexed citations

Cole, John A. & Zaida Luthey‐Schulten. (2017). Careful accounting of extrinsic noise in protein expression reveals correlations among its sources. Physical review. E. 95(6). 62418–62418. 15 indexed citations

10.

Jahangir, Eiman, et al.. (2015). Risk Assessment and Management of Anthracycline and HER2 Receptor Inhibitor–Induced Cardiomyopathy. Southern Medical Journal. 108(2). 71–78. 1 indexed citations

11.

Cole, John A., Lars Köhler, Jamila Hedhli, & Zaida Luthey‐Schulten. (2015). Spatially-resolved metabolic cooperativity within dense bacterial colonies. BMC Systems Biology. 9(1). 15–15. 76 indexed citations

12.

Cole, John A. & Zaida Luthey‐Schulten. (2014). Whole Cell Modeling: From Single Cells to Colonies. Israel Journal of Chemistry. 54(8-9). 1219–1229. 7 indexed citations

13.

Cole, John A., et al.. (2001). Metal fluxes in the Mersey Narrows. Hydrology and earth system sciences. 5(1). 103–118. 6 indexed citations

14.

Karemera, David, et al.. (1999). A Gravity Model Analysis of the Benefits of Economic Integration in the Pacific Rim. Journal of Economic Integration. 14(3). 347–367. 32 indexed citations

15.

Peters, Wouter, Glenn Rice, O. Russell Bullock, et al.. (1997). Assessment of Health Risks Due to Hazardous Air Pollutant Emissions from Electric Utilities. Drug and Chemical Toxicology. 20(4). 375–386. 14 indexed citations

16.

Oakes, David B., et al.. (1996). Pollution risk management for resource protection. Water Science & Technology. 33(2). 119–131.

17.

Cole, John A., et al.. (1994). Potential Impacts of Climatic Change and of Sea‐Level Rise on the Yields of Aquifer, River and Reservoir Sources. Water and Environment Journal. 8(6). 591–605. 8 indexed citations

18.

Cole, John A.. (1986). Human impact on rivers. Eos. 67(8). 91–91. 1 indexed citations

19.

Cole, John A., et al.. (1985). Tidal Fluxes of Metals Through the Mersey Estuary, 1982–1984. Water Science & Technology. 17(8). 1363–1365. 1 indexed citations

20.

Cole, John A.. (1974). Groundwater pollution in Europe : proceedings of a conference organized by the Water Research Association in Reading, England, September 1972. Medical Entomology and Zoology. 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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