Kenneth H. Pearce
- Molecular Biology top 5%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 10%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Derek J. ParksJohn T. MooreRandy K. BledsoeEugene L. StewartTimothy M. WillsonMillard H. LambertThomas B. StanleyC.J. Apolito
- Topics
- Epigenetics and DNA Methylation (10 papers)Estrogen and related hormone effects (10 papers)Protein Degradation and Inhibitors (8 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Kenneth H. Pearce
68 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.0k
- Genetics 946
- Endocrinology, Diabetes and Metabolism 493
- Oncology 374
- Endocrine and Autonomic Systems 304
Countries citing papers authored by Kenneth H. Pearce
This map shows the geographic impact of Kenneth H. Pearce'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 Kenneth H. Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth H. Pearce more than expected).
Fields of papers citing papers by Kenneth H. Pearce
This network shows the impact of papers produced by Kenneth H. Pearce. 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 Kenneth H. Pearce. The network helps show where Kenneth H. Pearce may publish in the future.
Co-authorship network of co-authors of Kenneth H. Pearce
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth H. Pearce. A scholar is included among the top collaborators of Kenneth H. Pearce 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 Kenneth H. Pearce. Kenneth H. Pearce 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 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 23 | |
| 12 | 42 | |
| 13 | 18 | |
| 14 | 6 | |
| 15 | Rev-erbα, a Heme Sensor That Coordinates Metabolic and Circadian Pathwaysbreakdown → | 572 |
| 16 | 15 | |
| 17 | 116 | |
| 18 | 30 | |
| 19 | 48 | |
| 20 | Crystal Structure of the Glucocorticoid Receptor Ligand Binding Domain Reveals a Novel Mode of Receptor Dimerization and Coactivator Recognitionbreakdown → | 652 |
About Kenneth H. Pearce
Kenneth H. Pearce is a scholar working on Molecular Biology, Hematology and Computational Theory and Mathematics, having authored 71 papers that have together received 3.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Estrogen and related hormone effects (10 papers) and Protein Degradation and Inhibitors (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (304 citations), Aging (74 citations) and Genetics (946 citations). Kenneth H. Pearce has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Derek J. Parks, John T. Moore, Randy K. Bledsoe, Eugene L. Stewart, Timothy M. Willson, Millard H. Lambert, Thomas B. Stanley, C.J. Apolito, Thomas G. Consler and Robert A. Reid. Their work appears in journals such as Science, Cell and Journal of the American Chemical Society.
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.