Fred R. Dee

1.3k total citations
17 papers, 1.0k citations indexed

About

Fred R. Dee is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Artificial Intelligence. According to data from OpenAlex, Fred R. Dee has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 7 papers in Physiology and 6 papers in Artificial Intelligence. Recurrent topics in Fred R. Dee's work include Innovations in Medical Education (6 papers), AI in cancer detection (6 papers) and Clinical Laboratory Practices and Quality Control (4 papers). Fred R. Dee is often cited by papers focused on Innovations in Medical Education (6 papers), AI in cancer detection (6 papers) and Clinical Laboratory Practices and Quality Control (4 papers). Fred R. Dee collaborates with scholars based in United States, Australia and Italy. Fred R. Dee's co-authors include Clarence D. Kreiter, Timothy Leaven, Rakesh Kumar, Gary M. Velan, Denis Wakefield, David K. Meyerholz, Paul M. Heidger, John S. Duncan, Thomas H. Haugen and Leslie Bernstein and has published in prestigious journals such as The Lancet Oncology, The Journal of Pathology and Academic Medicine.

In The Last Decade

Fred R. Dee

17 papers receiving 981 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fred R. Dee United States	12	347	314	239	200	177	17	1.0k
W. Stephen Black‐Schaffer United States	17	182 0.5×	307 1.0×	45 0.2×	131 0.7×	44 0.2×	43	905
Adela Saco Spain	22	148 0.4×	104 0.3×	61 0.3×	169 0.8×	36 0.2×	59	1.1k
Brandi T. Nicholson United States	15	220 0.6×	62 0.2×	49 0.2×	233 1.2×	264 1.5×	25	945
Praveen Birur India	14	192 0.6×	64 0.2×	113 0.5×	86 0.4×	39 0.2×	57	790
Janet E. Bailey United States	18	396 1.1×	68 0.2×	104 0.4×	253 1.3×	162 0.9×	49	1.1k
Weiwei Zhu United States	20	228 0.7×	109 0.3×	87 0.4×	884 4.4×	114 0.6×	48	1.5k
Seung‐Hun Chon Germany	23	125 0.4×	110 0.4×	132 0.6×	203 1.0×	22 0.1×	97	1.9k
Michael Co Hong Kong	15	50 0.1×	151 0.5×	65 0.3×	134 0.7×	186 1.1×	56	738
Wiebke Sondermann Germany	15	213 0.6×	76 0.2×	39 0.2×	305 1.5×	73 0.4×	55	874
Michael Riben United States	12	241 0.7×	83 0.3×	30 0.1×	120 0.6×	22 0.1×	25	669

Countries citing papers authored by Fred R. Dee

Since Specialization

Citations

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

Fields of papers citing papers by Fred R. Dee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred R. Dee. 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 Fred R. Dee. The network helps show where Fred R. Dee may publish in the future.

Co-authorship network of co-authors of Fred R. Dee

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

All Works

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17 of 17 papers shown

Ferguson, Kristi J., et al.. (2019). Investigating the validity of web-enabled mechanistic case diagramming scores to assess students’ integration of foundational and clinical sciences. Advances in Health Sciences Education. 25(3). 629–639. 5 indexed citations

Ferguson, Kristi J., Clarence D. Kreiter, Thomas H. Haugen, & Fred R. Dee. (2018). Web-Enabled Mechanistic Case Diagramming: A Novel Tool for Assessing Students’ Ability to Integrate Foundational and Clinical Sciences. Academic Medicine. 93(8). 1146–1149. 5 indexed citations

Dee, Fred R., Thomas H. Haugen, & Clarence D. Kreiter. (2014). New web-based applications for mechanistic case diagramming. Medical Education Online. 19(1). 24708–24708. 6 indexed citations

Kreiter, Clarence D., Thomas H. Haugen, Timothy Leaven, et al.. (2011). A report on the piloting of a novel computer-based medical case simulation for teaching and formative assessment of diagnostic laboratory testing. Medical Education Online. 16(1). 5646–5646. 11 indexed citations

Kumar, Shweta, Fred R. Dee, Rakesh Kumar, & Gary M. Velan. (2011). Benefits of Testable Concept Maps for Learning About Pathogenesis of Disease. Teaching and Learning in Medicine. 23(2). 137–143. 27 indexed citations

Dee, Fred R.. (2009). Virtual microscopy in pathology education. Human Pathology. 40(8). 1112–1121. 168 indexed citations

Bruch, Leslie A., Barry R. De Young, Clarence D. Kreiter, et al.. (2009). Competency assessment of residents in surgical pathology using virtual microscopy. Human Pathology. 40(8). 1122–1128. 58 indexed citations

Dee, Fred R., et al.. (2008). A Web-based database for pathology faculty effort reporting. Human Pathology. 39(4). 489–497. 1 indexed citations

Dee, Fred R. & David K. Meyerholz. (2007). Teaching Medical Pathology in the Twenty-First Century: Virtual Microscopy Applications. Journal of Veterinary Medical Education. 34(4). 431–436. 55 indexed citations

10.

Dee, Fred R., Amber Donnelly, Stanley J. Radio, et al.. (2007). Utility of 2-D and 3-D Virtual Microscopy in Cervical Cytology Education and Testing. Acta Cytologica. 51(4). 523–529. 38 indexed citations

11.

Dee, Fred R.. (2006). Virtual Microscopy for Comparative Pathology. Toxicologic Pathology. 34(7). 966–967. 11 indexed citations

12.

Morton, Lindsay M., Tongzhang Zheng, Theodore R. Holford, et al.. (2005). Alcohol consumption and risk of non-Hodgkin lymphoma: a pooled analysis. The Lancet Oncology. 6(7). 469–476. 105 indexed citations

13.

Morton, Lindsay M., Patricia Hartge, Theodore R. Holford, et al.. (2005). Cigarette Smoking and Risk of Non-Hodgkin Lymphoma: A Pooled Analysis from the International Lymphoma Epidemiology Consortium (InterLymph). Cancer Epidemiology Biomarkers & Prevention. 14(4). 925–933. 137 indexed citations

14.

Kumar, Rakesh, et al.. (2004). Virtual microscopy for learning and assessment in pathology. The Journal of Pathology. 204(5). 613–618. 166 indexed citations

15.

Dee, Fred R.. (2003). Implementation of virtual microscope slides in the annual pathobiology of cancer workshop laboratory. Human Pathology. 34(5). 430–436. 65 indexed citations

16.

Heidger, Paul M., et al.. (2002). Integrated approach to teaching and testing in histology with real and virtual imaging. The Anatomical Record. 269(2). 107–112. 143 indexed citations

17.

Heidger, Paul M., et al.. (2002). Integrated approach to teaching and testing in histology with real and virtual imaging. The Anatomical Record. 269(2). 107–112. 15 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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