Ashokkumar A. Patel

480 total citations
10 papers, 314 citations indexed

About

Ashokkumar A. Patel is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Ashokkumar A. Patel has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Ashokkumar A. Patel's work include Cancer Genomics and Diagnostics (4 papers), Molecular Biology Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Ashokkumar A. Patel is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Molecular Biology Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Ashokkumar A. Patel collaborates with scholars based in United States, Australia and Russia. Ashokkumar A. Patel's co-authors include Michael J. Becich, John R. Gilbertson, Jonas J. Astrin, Amanda Rush, Yvonne DeSouza, Lori Campbell, Rajiv Dhir, Jules J. Berman, Jonathan Melamed and Anil V. Parwani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Cancer Research and BMC Cancer.

In The Last Decade

Ashokkumar A. Patel

10 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashokkumar A. Patel United States 9 132 105 66 62 49 10 314
David van Enckevort Netherlands 10 107 0.8× 117 1.1× 37 0.6× 39 0.6× 46 0.9× 22 301
Simona Baselice Italy 5 72 0.5× 99 0.9× 50 0.8× 44 0.7× 31 0.6× 7 276
Ryan Copping United States 7 39 0.3× 55 0.5× 63 1.0× 11 0.2× 62 1.3× 9 355
Helen M. Moore United States 4 158 1.2× 144 1.4× 147 2.2× 57 0.9× 18 0.4× 5 427
Vasiliki Mollaki Greece 11 53 0.4× 44 0.4× 36 0.5× 38 0.6× 18 0.4× 17 322
Yvonne DeSouza United States 5 159 1.2× 174 1.7× 86 1.3× 111 1.8× 17 0.3× 6 412
Samuel Whipple United States 5 27 0.2× 56 0.5× 53 0.8× 11 0.2× 43 0.9× 9 312
Sharly J. Nass 3 86 0.7× 25 0.2× 59 0.9× 17 0.3× 14 0.3× 4 230
Manuela Flego Italy 7 99 0.8× 30 0.3× 64 1.0× 21 0.3× 34 0.7× 15 466
Julie A. Cakici United States 9 203 1.5× 69 0.7× 79 1.2× 17 0.3× 12 0.2× 12 722

Countries citing papers authored by Ashokkumar A. Patel

Since Specialization
Citations

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

Fields of papers citing papers by Ashokkumar A. Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashokkumar A. Patel

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

All Works

10 of 10 papers shown
1.
Campbell, Lori, et al.. (2018). The 2018 Revision of the ISBER Best Practices : Summary of Changes and the Editorial Team's Development Process. Biopreservation and Biobanking. 16(1). 3–6. 89 indexed citations
2.
Silver, Sylvia, Jeffrey Bethony, Paige M. Bracci, et al.. (2018). AIDS and Cancer Specimen Resource (ACSR). SHILAP Revista de lepidopterología. 5. 1 indexed citations
3.
Patel, Ashokkumar A., David B. Seligson, Eyas M. Hattab, et al.. (2007). Availability and quality of paraffin blocks identified in pathology archives: A multi-institutional study by the Shared Pathology Informatics Network (SPIN). BMC Cancer. 7(1). 37–37. 13 indexed citations
5.
Patel, Ashokkumar A., John R. Gilbertson, Louise C. Showe, et al.. (2007). A novel cross-disciplinary multi-institute approach to translational cancer research: lessons learned from Pennsylvania Cancer Alliance Bioinformatics Consortium (PCABC).. PubMed. 3. 255–74. 12 indexed citations
6.
Patel, Ashokkumar A., John R. Gilbertson, Anil V. Parwani, et al.. (2006). An informatics model for tissue banks – Lessons learned from the Cooperative Prostate Cancer Tissue Resource. BMC Cancer. 6(1). 120–120. 36 indexed citations
7.
Patel, Ashokkumar A., Andre Kajdacsy‐Balla, Jules J. Berman, et al.. (2005). The development of common data elements for a multi-institute prostate cancer tissue bank: The Cooperative Prostate Cancer Tissue Resource (CPCTR) experience. BMC Cancer. 5(1). 108–108. 36 indexed citations
8.
Becich, Michael J., et al.. (2004). Pathology and patient safety: the critical role of pathology informatics in error reduction and quality initiatives. Clinics in Laboratory Medicine. 24(4). 913–943. 37 indexed citations
9.
Gilbertson, John R., et al.. (2004). Automated clinical annotation of tissue bank specimens.. PubMed. 107(Pt 1). 607–10. 14 indexed citations
10.
Melamed, Jonathan, Milton W. Datta, Michael J. Becich, et al.. (2004). The Cooperative Prostate Cancer Tissue Resource. Clinical Cancer Research. 10(14). 4614–4621. 43 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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