Jon A. Reed

76 papers receiving 2.3k citations

Peers

Jon A. Reed
Comparison fields: 5 of 107
  • Dermatology 395
  • Oncology 1.0k
  • Immunology and Allergy 209
  • Cell Biology 318
  • Molecular Biology 1.0k
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Countries citing papers authored by Jon A. Reed

Since Specialization
Citations

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

Fields of papers citing papers by Jon A. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jon A. Reed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon A. Reed Line = papers co-authored together Jon A. Reed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Complete one-hour immunocytochemistry based on capillary action.
1992149
2 2010107
3
Cytoplasmic localization of the oncogenic protein Ski in human cutaneous melanomas in vivo: functional implications for transforming growth factor beta signaling.
2001101
4
Expression of transforming growth factor-beta 2 in malignant melanoma correlates with the depth of tumor invasion. Implications for tumor progression.
199495
5
Co-localization of the TSC2 product tuberin with its target Rap1 in the Golgi apparatus.
199690
6
Differential expression of basic fibroblast growth factor (bFGF) in melanocytic lesions demonstrated by in situ hybridization. Implications for tumor progression.
199489
7 200382
8 201674
9 200674
10 199468
11 199863
12 199960
13
Expression of the TSC2 product tuberin and its target Rap1 in normal human tissues.
199760
14 199453
15 200548
16 199646
17 199846
18 199945
19 199245
20 200545

About Jon A. Reed

Jon A. Reed is a scholar working on Oncology, Molecular Biology, Dermatology, Cell Biology and Epidemiology, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (13 papers), Cancer and Skin Lesions (13 papers), Cell Adhesion Molecules Research (8 papers), Sarcoma Diagnosis and Treatment (8 papers), Nonmelanoma Skin Cancer Studies (8 papers), Genetic and rare skin diseases. (7 papers), Melanoma and MAPK Pathways (5 papers) and Tumors and Oncological Cases (5 papers). The work is most often cited by research in Dermatology (395 citations), Oncology (1.0k citations), Immunology and Allergy (209 citations), Cell Biology (318 citations) and Molecular Biology (1.0k citations). Jon A. Reed has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Víctor G. Prieto, N. Scott McNutt, Anthony P. Albino, Christopher R. Shea, David J. Brigati, L. Manahan, Estela E. Medrano, Alexander J. Lazar, Doina Ivan and Debdutta Bandyopadhyay. Their work appears in journals such as Journal of Cutaneous Pathology, The American Journal of Surgical Pathology, Archives of Pathology & Laboratory Medicine, American Journal of Clinical Pathology and American Journal of Dermatopathology.

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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