Jon Kemppainen
- Molecular Biology top 5%
- Health, Toxicology and Mutagenesis top 0.5%
- Genetics top 2%
- Cancer Research top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Elizabeth M. WilsonWilliam KelceSusan LawsL. Earl GrayBin HeElizabeth LangleyElizabeth WilsonHinrich Gronemeyer
- Topics
- Hormonal and reproductive studies (10 papers)Estrogen and related hormone effects (7 papers)Prostate Cancer Treatment and Research (5 papers)
- Journals
- NatureJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomSerbia
In The Last Decade
Jon Kemppainen
19 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.5k
- Health, Toxicology and Mutagenesis 1.1k
- Genetics 1.1k
- Cancer Research 1.0k
- Endocrinology, Diabetes and Metabolism 714
Countries citing papers authored by Jon Kemppainen
This map shows the geographic impact of Jon Kemppainen'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 Kemppainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Kemppainen more than expected).
Fields of papers citing papers by Jon Kemppainen
This network shows the impact of papers produced by Jon Kemppainen. 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 Kemppainen. The network helps show where Jon Kemppainen may publish in the future.
Co-authorship network of co-authors of Jon Kemppainen
This figure shows the co-authorship network connecting the top 25 collaborators of Jon Kemppainen. A scholar is included among the top collaborators of Jon Kemppainen 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 Jon Kemppainen. Jon Kemppainen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 67 | |
| 8 | 126 | |
| 9 | Identification of miRNA Changes in Alzheimer's Disease Brain and CSF Yields Putative Biomarkers and Insights into Disease Pathwaysbreakdown → | 779 |
| 10 | 14 | |
| 11 | 137 | |
| 12 | 352 | |
| 13 | 282 | |
| 14 | 170 | |
| 15 | 40 | |
| 16 | 193 | |
| 17 | 76 | |
| 18 | 30 | |
| 19 | Persistent DDT metabolite p,p'–DDE is a potent androgen receptor antagonistbreakdown → | 1236 |
| 20 | 64 |
About Jon Kemppainen
Jon Kemppainen is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 23 papers that have together received 3.7k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (10 papers), Estrogen and related hormone effects (7 papers) and Prostate Cancer Treatment and Research (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.1k citations), Cancer Research (1.0k citations) and Physiology (224 citations). Jon Kemppainen has collaborated with scholars based in United States, United Kingdom and Serbia. Frequent co-authors include Elizabeth M. Wilson, William Kelce, Elizabeth M. Wilson, Susan Laws, L. Earl Gray, Bin He, Elizabeth Langley, Elizabeth Wilson, Hinrich Gronemeyer and Johannes J. Voegel. Their work appears in journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.