Jeffrey J. Kovacs
- Molecular Biology top 2%
- Oncology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 2%
- Epidemiology top 5%
- Co-authors
- Tso-Pang YaoYoshiharu KawaguchiAkihiro ItoJeffery M. VanceRobert J. LefkowitzPatrick J. MurphyWilliam B. PrattXuan Zhao
- Topics
- Receptor Mechanisms and Signaling (8 papers)Histone Deacetylase Inhibitors Research (5 papers)Epigenetics and DNA Methylation (3 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Jeffrey J. Kovacs
23 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 3.5k
- Oncology 940
- Cellular and Molecular Neuroscience 634
- Cell Biology 493
- Epidemiology 482
Countries citing papers authored by Jeffrey J. Kovacs
This map shows the geographic impact of Jeffrey J. Kovacs'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 Jeffrey J. Kovacs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey J. Kovacs more than expected).
Fields of papers citing papers by Jeffrey J. Kovacs
This network shows the impact of papers produced by Jeffrey J. Kovacs. 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 Jeffrey J. Kovacs. The network helps show where Jeffrey J. Kovacs may publish in the future.
Co-authorship network of co-authors of Jeffrey J. Kovacs
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Kovacs. A scholar is included among the top collaborators of Jeffrey J. Kovacs 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 Jeffrey J. Kovacs. Jeffrey J. Kovacs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 73 | |
| 3 | 24 | |
| 4 | 268 | |
| 5 | 1 | |
| 6 | 42 | |
| 7 | 23 | |
| 8 | 47 | |
| 9 | A stress response pathway regulates DNA damage through β2-adrenoreceptors and β-arrestin-1breakdown → | 338 |
| 10 | 75 | |
| 11 | 164 | |
| 12 | 1 | |
| 13 | 193 | |
| 14 | 168 | |
| 15 | 55 | |
| 16 | 127 | |
| 17 | 27 | |
| 18 | HDAC6 Regulates Hsp90 Acetylation and Chaperone-Dependent Activation of Glucocorticoid Receptorbreakdown → | 936 |
| 19 | The Deacetylase HDAC6 Regulates Aggresome Formation and Cell Viability in Response to Misfolded Protein Stressbreakdown → | 1213 |
| 20 | 466 |
About Jeffrey J. Kovacs
Jeffrey J. Kovacs is a scholar working on Biological Psychiatry, Cancer Research and Molecular Biology, having authored 23 papers that have together received 4.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Histone Deacetylase Inhibitors Research (5 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Cellular and Molecular Neuroscience (634 citations) and Oncology (940 citations). Jeffrey J. Kovacs has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Tso-Pang Yao, Yoshiharu Kawaguchi, Akihiro Ito, Jeffery M. Vance, Robert J. Lefkowitz, Patrick J. Murphy, William B. Pratt, Xuan Zhao, Stéphanie Gaillard and June‐Tai Wu. Their work appears in journals such as Nature, Science and Cell.
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.