J E Darnell
Impact in
- Immunology top 1%
- interferon and immune responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- RNA Research and Splicing 3
- PI3K/AKT/mTOR signaling in cancer 2
- Peroxisome Proliferator-Activated Receptors 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Oncology 7
- Cytokine Signaling Pathways and Interactions 7
- Co-authors
- David E. Levy (3 shared papers)Richard Pine (2 shared papers)Daniel S. Kessler (2 shared papers)Curt M. Horvath (1 shared paper)R Aebersold (1 shared paper)Christian Schindler (1 shared paper)Xiuping Fu (1 shared paper)T Improta (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (2 papers)Genes & Development (2 papers)Journal of Molecular Biology (1 paper)
- Partner nations
- United States
In The Last Decade
J E Darnell
13 papers receiving 2.5k citations
J E Darnell's Hit Papers
Peers
Comparison fields: 5 of 79
- Immunology 1.5k
- Oncology 1.6k
- Cancer Research 387
- Pharmacology 149
- Molecular Biology 1.1k
Countries citing papers authored by J E Darnell
This map shows the geographic impact of J E Darnell'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 J E Darnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J E Darnell more than expected).
Fields of papers citing papers by J E Darnell
This network shows the impact of papers produced by J E Darnell. 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 J E Darnell. The network helps show where J E Darnell may publish in the future.
Co-authors
The 24 scholars most cited alongside J E Darnell, 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 | Proteins of transcription factor ISGF-3: one gene encodes the 91-and 84-kDa ISGF-3 proteins that are activated by interferon alpha. Hit paper breakdown → | 1992 | 601 |
| 2 | 1995 | 472 | |
| 3 | 1989 | 461 | |
| 4 | 1990 | 317 | |
| 5 | 1995 | 210 | |
| 6 | 1991 | 169 | |
| 7 | Interferon-dependent transcriptional activation: signal transduction without second messenger involvement? | 1990 | 83 |
| 8 | 2003 | 77 | |
| 9 | 1989 | 66 | |
| 10 | 1981 | 61 | |
| 11 | 1995 | 53 | |
| 12 | 1991 | 44 | |
| 13 | 2013 | 3 |
About J E Darnell
J E Darnell is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Pathology and Forensic Medicine, having authored 13 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), interferon and immune responses (4 papers), RNA Research and Splicing (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Estrogen and related hormone effects (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Immunology (1.5k citations), Oncology (1.6k citations), Cancer Research (387 citations), Pharmacology (149 citations) and Molecular Biology (1.1k citations). J E Darnell has collaborated with scholars based in United States. Frequent co-authors include David E. Levy, Richard Pine, Daniel S. Kessler, Curt M. Horvath, R Aebersold, Christian Schindler, Xiuping Fu, T Improta, Sajjad A. Qureshi and M. Salditt-Georgieff. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Genes & Development and Journal of Molecular Biology.
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.