Diane Longo
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
Papers in
-
- Single-cell and spatial transcriptomics 5
- Gene Regulatory Network Analysis 4
- Co-authors
- Jeff Hasty (4 shared papers)Brett A. Howell (3 shared papers)Paul B. Watkins (3 shared papers)Shayn M. Peirce (1 shared paper)Rachael E. Hawtin (6 shared papers)Alessandra Cesano (6 shared papers)Mungo Marsden (1 shared paper)Lance A. Davidson (1 shared paper)
- Journals
- Toxicological Sciences (2 papers)Blood (2 papers)Clinical Pharmacology & Therapeutics (2 papers)Journal of Translational Medicine (2 papers)Journal of Hepatology (1 paper)
- Partner nations
- United StatesHungaryGermany
In The Last Decade
Diane Longo
17 papers receiving 384 citations
Peers
Comparison fields: 5 of 87
- Hepatology 45
- Modeling and Simulation 25
- Pharmacology 42
- Biophysics 21
- Immunology 63
Countries citing papers authored by Diane Longo
This map shows the geographic impact of Diane Longo'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 Longo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Longo more than expected).
Fields of papers citing papers by Diane Longo
This network shows the impact of papers produced by Diane Longo. 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 Longo. The network helps show where Diane Longo may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane Longo, 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 | 2006 | 110 | |
| 2 | 2004 | 50 | |
| 3 | 2019 | 44 | |
| 4 | 2012 | 36 | |
| 5 | 2018 | 36 | |
| 6 | 2013 | 35 | |
| 7 | 2020 | 14 | |
| 8 | 2012 | 14 | |
| 9 | 2023 | 10 | |
| 10 | Inter-donor variation in cell subset specific immune signaling responses in healthy individuals. | 2012 | 10 |
| 11 | 2018 | 8 | |
| 12 | 2009 | 6 | |
| 13 | 2006 | 6 | |
| 14 | 2014 | 5 | |
| 15 | CEST Signals of Lipids | 2017 | 4 |
| 16 | 2002 | 4 | |
| 17 | 2011 | 1 | |
| 18 | 2011 | 1 | |
| 19 | 2021 | 0 |
About Diane Longo
Diane Longo is a scholar working on Molecular Biology, Epidemiology, Immunology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 394 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Gene Regulatory Network Analysis (4 papers), T-cell and B-cell Immunology (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Cell Image Analysis Techniques (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Hepatology (45 citations), Modeling and Simulation (25 citations), Pharmacology (42 citations), Biophysics (21 citations) and Immunology (63 citations). Diane Longo has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Jeff Hasty, Brett A. Howell, Paul B. Watkins, Shayn M. Peirce, Rachael E. Hawtin, Alessandra Cesano, Mungo Marsden, Lance A. Davidson, Alexander Hoffmann and Zoltán Pós. Their work appears in journals such as Toxicological Sciences, Blood, Clinical Pharmacology & Therapeutics, Journal of Translational Medicine and Journal of Hepatology.
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.