J M Glendening
- Molecular Biology
- Physiology top 5%
- Oncology top 10%
- Clinical Biochemistry top 1%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Helen VlassaraRichard BucalaMichael P. VitekKoushik BhattacharyaAnthony CeramiEdward G. StopaJ F FloresGraeme J. Walker
- Topics
- Cancer Genomics and Diagnostics (4 papers)Cutaneous Melanoma Detection and Management (3 papers)Alzheimer's disease research and treatments (2 papers)
- Journals
- Proceedings of the National Academy of SciencesOncogeneThe American Journal of Human Genetics
- Partner nations
- United StatesAustraliaMexico
In The Last Decade
J M Glendening
10 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 607
- Physiology 443
- Oncology 392
- Clinical Biochemistry 372
- Endocrinology, Diabetes and Metabolism 174
Countries citing papers authored by J M Glendening
This map shows the geographic impact of J M Glendening'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 J M Glendening with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J M Glendening more than expected).
Fields of papers citing papers by J M Glendening
This network shows the impact of papers produced by J M Glendening. 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 J M Glendening. The network helps show where J M Glendening may publish in the future.
Co-authorship network of co-authors of J M Glendening
This figure shows the co-authorship network connecting the top 25 collaborators of J M Glendening. A scholar is included among the top collaborators of J M Glendening 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 J M Glendening. J M Glendening is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 41 | |
| 3 | 110 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | Low frequency of p16/CDKN2A methylation in sporadic melanoma: comparative approaches for methylation analysis of primary tumors. | 113 |
| 7 | 6 | |
| 8 | Loss of expression of the p16/cyclin-dependent kinase inhibitor 2 tumor suppressor gene in melanocytic lesions correlates with invasive stage of tumor progression. | 225 |
| 9 | Homozygous loss of the p15INK4B gene (and not the p16INK4 gene) during tumor progression in a sporadic melanoma patient. | 51 |
| 10 | Advanced glycation end products contribute to amyloidosis in Alzheimer disease.breakdown → | 686 |
About J M Glendening
J M Glendening is a scholar working on Cancer Research, Oncology and Ophthalmology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cutaneous Melanoma Detection and Management (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Clinical Biochemistry (372 citations), Physiology (443 citations) and Oncology (392 citations). J M Glendening has collaborated with scholars based in United States, Australia and Mexico. Frequent co-authors include Helen Vlassara, Richard Bucala, Michael P. Vitek, Koushik Bhattacharya, Anthony Cerami, Edward G. Stopa, J F Flores, Graeme J. Walker, Jane W. Fountain and Nicholas K. Hayward. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene and The American Journal of Human Genetics.
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.