Michael D. Conkright
Impact in
- Aging top 5%
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer
- RNA Research and Splicing
- Kruppel-like factors research
- Cancer-related gene regulation
Papers in
-
- Cell Adhesion Molecules Research 3
- Co-authors
- Marc MontminyJohn B. HogeneschGianluca CanettieriErnesto GuzmánRobert A. ScreatonJennifer L. BestLoren MiragliaAntonio L. Amelio
- Journals
- Molecular Cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)The EMBO Journal (2 papers)Biology of Reproduction (2 papers)Nature Medicine (1 paper)
- Partner nations
- United StatesAustraliaSlovakia
In The Last Decade
Michael D. Conkright
21 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Aging 66
- Molecular Biology 2.2k
- Cancer Research 462
- Developmental Neuroscience 126
- Cellular and Molecular Neuroscience 553
Countries citing papers authored by Michael D. Conkright
This map shows the geographic impact of Michael D. Conkright'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 Michael D. Conkright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Conkright more than expected).
Fields of papers citing papers by Michael D. Conkright
This network shows the impact of papers produced by Michael D. Conkright. 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 Michael D. Conkright. The network helps show where Michael D. Conkright may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael D. Conkright, 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 | 2014 | 76 | |
| 2 | 2014 | 27 | |
| 3 | 2014 | 115 | |
| 4 | 2010 | 322 | |
| 5 | 2010 | 1 | |
| 6 | 2009 | 21 | |
| 7 | 2008 | 159 | |
| 8 | 2007 | 83 | |
| 9 | 2005 | 110 | |
| 10 | Genome-wide analysis of cAMP-response element binding protein occupancy, phosphorylation, and target gene activation in human tissues Hit paper breakdown → | 2005 | 812 |
| 11 | The CREB Coactivator TORC2 Functions as a Calcium- and cAMP-Sensitive Coincidence Detector Hit paper breakdown → | 2004 | 541 |
| 12 | 2003 | 11 | |
| 13 | 2003 | 215 | |
| 14 | TORCs Hit paper breakdown → | 2003 | 503 |
| 15 | 2001 | 55 | |
| 16 | 1999 | 33 | |
| 17 | 1995 | 5 | |
| 18 | 1995 | 5 | |
| 19 | 1995 | 2 | |
| 20 | 1994 | 6 |
About Michael D. Conkright
Michael D. Conkright is a scholar working on Immunology and Allergy, Endocrine and Autonomic Systems, Cancer Research, Geriatrics and Gerontology and Developmental Neuroscience, having authored 21 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (3 papers), Estrogen and related hormone effects (3 papers), Cell Adhesion Molecules Research (3 papers), Cancer-related gene regulation (3 papers), RNA and protein synthesis mechanisms (3 papers), Kruppel-like factors research (3 papers) and Chromatin Remodeling and Cancer (2 papers). The work is most often cited by research in Aging (66 citations), Molecular Biology (2.2k citations), Cancer Research (462 citations), Developmental Neuroscience (126 citations) and Cellular and Molecular Neuroscience (553 citations). Michael D. Conkright has collaborated with scholars based in United States, Australia and Slovakia. Frequent co-authors include Marc Montminy, John B. Hogenesch, Gianluca Canettieri, Ernesto Guzmán, Robert A. Screaton, Jennifer L. Best, Loren Miraglia, Antonio L. Amelio, Shawn Jeffries and Terry G. Unterman. Their work appears in journals such as Molecular Cell, Proceedings of the National Academy of Sciences, The EMBO Journal, Biology of Reproduction and Nature Medicine.
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.