Diane E. Ingolia
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Biochemical and Molecular Research 6
- RNA Interference and Gene Delivery 4
- CRISPR and Genetic Engineering 2
- Genetics 10
- Virus-based gene therapy research 10
- Co-authors
- Rodney E. Kellems (11 shared papers)C Y Yeung (10 shared papers)Muayyad R. Al‐Ubaidi (5 shared papers)Randal J. Kaufman (2 shared papers)David A. Wright (3 shared papers)Patricia E. Murtha (1 shared paper)M E Riser (1 shared paper)Michael J. Siciliano (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Molecular and Cellular Biology (2 papers)Trends in Genetics (1 paper)Genomics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Diane E. Ingolia
14 papers receiving 485 citations
Peers
Comparison fields: 5 of 56
- Physiology 128
- Genetics 232
- Molecular Biology 389
- Immunology 68
- Oncology 81
Countries citing papers authored by Diane E. Ingolia
This map shows the geographic impact of Diane E. Ingolia'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 Diane E. Ingolia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane E. Ingolia more than expected).
Fields of papers citing papers by Diane E. Ingolia
This network shows the impact of papers produced by Diane E. Ingolia. 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 Diane E. Ingolia. The network helps show where Diane E. Ingolia may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane E. Ingolia, 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 | 1986 | 76 | |
| 2 | 1985 | 75 | |
| 3 | 1983 | 69 | |
| 4 | 1990 | 66 | |
| 5 | 1986 | 52 | |
| 6 | 1983 | 45 | |
| 7 | 1985 | 37 | |
| 8 | 2009 | 31 | |
| 9 | 1990 | 24 | |
| 10 | 1985 | 20 | |
| 11 | 1986 | 19 | |
| 12 | 1990 | 12 | |
| 13 | 2006 | 5 | |
| 14 | 1985 | 1 |
About Diane E. Ingolia
Diane E. Ingolia is a scholar working on Molecular Biology, Genetics, Physiology, Oncology and Immunology, having authored 14 papers that have together received 532 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Adenosine and Purinergic Signaling (7 papers), Biochemical and Molecular Research (6 papers), RNA Interference and Gene Delivery (4 papers), Immunotherapy and Immune Responses (2 papers), Peptidase Inhibition and Analysis (2 papers), CRISPR and Genetic Engineering (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Physiology (128 citations), Genetics (232 citations), Molecular Biology (389 citations), Immunology (68 citations) and Oncology (81 citations). Diane E. Ingolia has collaborated with scholars based in United States. Frequent co-authors include Rodney E. Kellems, C Y Yeung, Muayyad R. Al‐Ubaidi, Randal J. Kaufman, David A. Wright, Patricia E. Murtha, M E Riser, Michael J. Siciliano, B. S. Dunbar and V. Ramamurthy. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Trends in Genetics, Genomics and Proceedings of the National Academy of Sciences.
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.