John D. Feczko

448 total citations
11 papers, 284 citations indexed

About

John D. Feczko is a scholar working on Oncology, Surgery and Dermatology. According to data from OpenAlex, John D. Feczko has authored 11 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Surgery and 3 papers in Dermatology. Recurrent topics in John D. Feczko's work include Botulinum Toxin and Related Neurological Disorders (3 papers), Cancer and Skin Lesions (3 papers) and Pain Mechanisms and Treatments (2 papers). John D. Feczko is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (3 papers), Cancer and Skin Lesions (3 papers) and Pain Mechanisms and Treatments (2 papers). John D. Feczko collaborates with scholars based in United States and Türkiye. John D. Feczko's co-authors include Kathleen M. Klueber, M. A. Clark, John E. Pless, Dean A. Hawley, John B. Watkins, Gordon Schmidt, Michael D. Glant, Lester J. Layfield, Carol Eisenhut and Harvey Cramer and has published in prestigious journals such as Journal of Clinical Oncology, Nutrients and The Anatomical Record.

In The Last Decade

John D. Feczko

10 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John D. Feczko United States 7 180 134 89 47 39 11 284
Shinil K. Shah United States 10 271 1.5× 98 0.7× 60 0.7× 23 0.5× 7 0.2× 20 378
Georgios Bougioukas Greece 10 120 0.7× 48 0.4× 18 0.2× 109 2.3× 35 0.9× 18 336
Peter Kullar United Kingdom 9 63 0.3× 50 0.4× 58 0.7× 43 0.9× 12 0.3× 27 269
M.T. Olson United States 11 184 1.0× 93 0.7× 9 0.1× 65 1.4× 29 0.7× 45 321
Marek Kollár Czechia 11 99 0.6× 67 0.5× 10 0.1× 35 0.7× 10 0.3× 35 293
Tetsuo Hadama Japan 11 192 1.1× 150 1.1× 18 0.2× 98 2.1× 17 0.4× 86 436
Tayyab Shahzad Germany 11 190 1.1× 268 2.0× 16 0.2× 103 2.2× 17 0.4× 16 477
Christopher Compeau Canada 8 161 0.9× 85 0.6× 18 0.2× 29 0.6× 88 2.3× 9 286
K Köhler Germany 6 50 0.3× 129 1.0× 26 0.3× 114 2.4× 9 0.2× 14 291
Noritsugu Shiono Japan 9 164 0.9× 55 0.4× 27 0.3× 47 1.0× 22 0.6× 38 288

Countries citing papers authored by John D. Feczko

Since Specialization
Citations

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

Fields of papers citing papers by John D. Feczko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John D. Feczko

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Feczko. A scholar is included among the top collaborators of John D. Feczko 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 D. Feczko. John D. Feczko 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
2.
Brikun, Igor, Deborah Nusskern, Daniel L. Gillen, et al.. (2014). A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients. Biomarker Research. 2(1). 25–25. 15 indexed citations
3.
Hong, Bo, et al.. (2011). Metastatic breast cancer detection and therapy monitoring using folate-targeting flow cytometry.. Journal of Clinical Oncology. 29(27_suppl). 23–23. 2 indexed citations
4.
Watkins, John B., et al.. (2000). Streptozotocin and Insulin-Dependent Diabetes Induce Changes in Hepatic Cytoarchitecture in Mice. International Journal of Toxicology. 19(6). 401–405. 3 indexed citations
5.
Cramer, Harvey, et al.. (1997). Fine-needle aspiration biopsy of salivary duct carcinoma: Report of five cases. Diagnostic Cytopathology. 16(6). 526–530. 28 indexed citations
6.
Feczko, John D., et al.. (1996). Adenoid cystic ovarian carcinoma compared with other adenoid cystic carcinomas of the female genital tract.. PubMed. 9(4). 413–7. 6 indexed citations
7.
Feczko, John D., et al.. (1995). Fine needle aspiration cytology of a male breast carcinoma exhibiting neuroendocrine differentiation. Report of a case with immunohistochemical, flow cytometric and ultrastructural analysis.. PubMed. 39(4). 803–8. 5 indexed citations
8.
Klueber, Kathleen M. & John D. Feczko. (1994). Ultrastructural, histochemical, and morphometric analysis of skeletal muscle in a murine model of type I diabetes. The Anatomical Record. 239(1). 18–34. 34 indexed citations
9.
Feczko, John D., et al.. (1992). AN AUTOPSY CASE REVIEW OF 142 NONPENETRATING (BLUNT) INJURIES OF THE AORTA. The Journal of Trauma: Injury, Infection, and Critical Care. 33(6). 846–849. 157 indexed citations
10.
Klueber, Kathleen M., John D. Feczko, Gordon Schmidt, & John B. Watkins. (1989). Skeletal muscle in the diabetic mouse: Histochemical and morphometric analysis. The Anatomical Record. 225(1). 41–45. 24 indexed citations
11.
Feczko, John D. & Kathleen M. Klueber. (1988). Cytoarchitecture of muscle in a genetic model of murine diabetes. American Journal of Anatomy. 182(3). 224–240. 10 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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