Jack Bolado
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Genetics top 1%
- Estrogen and related hormone effects
Papers in
-
- Retinoids in leukemia and cellular processes 8
- Genetics 7
- Estrogen and related hormone effects 7
- Co-authors
- Ronald M. Evans (9 shared papers)Roland Schüle (3 shared papers)Lynn J. Ransone (2 shared papers)Steven A. Kliewer (2 shared papers)Inder M. Verma (2 shared papers)Pundi N. Rangarajan (2 shared papers)Na Yang (2 shared papers)Bruce Blumberg (5 shared papers)
- Journals
- Genes & Development (3 papers)Cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)Genomics Proteomics & Bioinformatics (1 paper)Development (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Jack Bolado
11 papers receiving 3.4k citations
Jack Bolado's Hit Papers
Peers
Comparison fields: 5 of 101
- Pharmacology 574
- Genetics 1.3k
- Endocrinology, Diabetes and Metabolism 636
- Molecular Biology 2.1k
- Biochemistry 176
Countries citing papers authored by Jack Bolado
This map shows the geographic impact of Jack Bolado'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 Jack Bolado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Bolado more than expected).
Fields of papers citing papers by Jack Bolado
This network shows the impact of papers produced by Jack Bolado. 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 Jack Bolado. The network helps show where Jack Bolado may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Bolado, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Functional antagonism between oncoprotein c-Jun and the glucocorticoid receptor Hit paper breakdown → | 1990 | 1096 |
| 2 | SXR, a novel steroid and xenobioticsensing nuclear receptor Hit paper breakdown → | 1998 | 769 |
| 3 | 1991 | 477 | |
| 4 | 1990 | 461 | |
| 5 | 2010 | 208 | |
| 6 | 1997 | 200 | |
| 7 | 1996 | 94 | |
| 8 | 1996 | 86 | |
| 9 | 1998 | 64 | |
| 10 | 1992 | 64 | |
| 11 | 2003 | 6 |
About Jack Bolado
Jack Bolado is a scholar working on Molecular Biology, Genetics, Biochemistry, Cellular and Molecular Neuroscience and Oncology, having authored 11 papers that have together received 3.5k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (8 papers), Estrogen and related hormone effects (7 papers), Antioxidant Activity and Oxidative Stress (3 papers), Nuclear Receptors and Signaling (2 papers), Microtubule and mitosis dynamics (1 paper), Plant Molecular Biology Research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Light effects on plants (1 paper). The work is most often cited by research in Pharmacology (574 citations), Genetics (1.3k citations), Endocrinology, Diabetes and Metabolism (636 citations), Molecular Biology (2.1k citations) and Biochemistry (176 citations). Jack Bolado has collaborated with scholars based in United States and China. Frequent co-authors include Ronald M. Evans, Roland Schüle, Lynn J. Ransone, Steven A. Kliewer, Inder M. Verma, Pundi N. Rangarajan, Na Yang, Bruce Blumberg, Henry Juguilon and Walid Sabbagh. Their work appears in journals such as Genes & Development, Cell, Proceedings of the National Academy of Sciences, Genomics Proteomics & Bioinformatics and Development.
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.