John Sharko

419 total citations
8 papers, 314 citations indexed

About

John Sharko is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, John Sharko has authored 8 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in John Sharko's work include Advanced Clustering Algorithms Research (2 papers), Data Mining Algorithms and Applications (2 papers) and Morphological variations and asymmetry (1 paper). John Sharko is often cited by papers focused on Advanced Clustering Algorithms Research (2 papers), Data Mining Algorithms and Applications (2 papers) and Morphological variations and asymmetry (1 paper). John Sharko collaborates with scholars based in United States and Switzerland. John Sharko's co-authors include Georges Grinstein, Kenneth A. Marx, Kevin S. Hughes, Julliette M. Buckley, Fernanda Polubriaginof, Judy E. Garber, Barbara L. Smith, Michele A. Gadd, Michelle C. Specht and Ahmet Korkut Bellı and has published in prestigious journals such as Breast Cancer Research and Treatment, IEEE Transactions on Visualization and Computer Graphics and The Breast Journal.

In The Last Decade

John Sharko

8 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Sharko United States	6	113	83	76	72	68	8	314
Miguel Henriques Abreu Portugal	10	136 1.2×	44 0.5×	96 1.3×	29 0.4×	49 0.7×	22	370
Deborah Thompson United States	11	233 2.1×	38 0.5×	83 1.1×	21 0.3×	23 0.3×	30	469
Jasleen Grewal Canada	11	101 0.9×	98 1.2×	209 2.8×	28 0.4×	17 0.3×	19	490
Wei Qiu China	14	119 1.1×	43 0.5×	99 1.3×	23 0.3×	44 0.6×	33	704
C. Elston United Kingdom	3	100 0.9×	257 3.1×	152 2.0×	124 1.7×	38 0.6×	4	462
R Schulz-Wendtland Germany	9	204 1.8×	104 1.3×	48 0.6×	111 1.5×	3 0.0×	23	409
Juho Konsti Finland	6	139 1.2×	94 1.1×	264 3.5×	36 0.5×	87 1.3×	9	551
Shohreh Dickinson United States	12	151 1.3×	78 0.9×	143 1.9×	30 0.4×	11 0.2×	25	527
Lídia Tortajada Spain	9	131 1.2×	61 0.7×	19 0.3×	68 0.9×	6 0.1×	14	271
Mengping Long China	11	41 0.4×	64 0.8×	150 2.0×	18 0.3×	32 0.5×	34	333

Countries citing papers authored by John Sharko

Since Specialization

Citations

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

Fields of papers citing papers by John Sharko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Sharko

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

All Works

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8 of 8 papers shown

1.

Buckley, Julliette M., Suzanne B. Coopey, John Sharko, et al.. (2012). The feasibility of using natural language processing to extract clinical information from breast pathology reports. Journal of Pathology Informatics. 3(1). 23–23. 88 indexed citations

2.

Coopey, Suzanne B., Emanuele Mazzola, Julliette M. Buckley, et al.. (2012). The role of chemoprevention in modifying the risk of breast cancer in women with atypical breast lesions. Breast Cancer Research and Treatment. 136(3). 627–633. 93 indexed citations

3.

Ozanne, Elissa M., Christine Lawrence, Brian Drohan, et al.. (2009). Identification and Management of Women at High Risk for Hereditary Breast/Ovarian Cancer Syndrome. The Breast Journal. 15(2). 155–162. 45 indexed citations

4.

Sharko, John & Georges Grinstein. (2009). Visualizing Fuzzy Clusters Using RadViz. 307–316. 12 indexed citations

5.

Grinstein, Georges & John Sharko. (2009). Radviz extensions with applications. 1 indexed citations

6.

Sharko, John, Georges Grinstein, & Kenneth A. Marx. (2008). Vectorized Radviz and Its Application to Multiple Cluster Datasets. IEEE Transactions on Visualization and Computer Graphics. 14(6). 1444–1451. 58 indexed citations

7.

Marx, Kenneth A., John Sharko, Georges Grinstein, Shannon J. Odelberg, & Hans‐Georg Simon. (2007). Evidence for Proximal to Distal Appendage Amputation Site Effects from Global Gene Expression Correlations Found in Newt Microarrays. 195. 131–136. 4 indexed citations

8.

Sharko, John, Georges Grinstein, Kenneth A. Marx, et al.. (2007). Heat Map Visualizations Allow Comparison of Multiple Clustering Results and Evaluation of Dataset Quality: Application to Microarray Data. 521–526. 13 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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