Deebly Chavez
Impact in
-
- Neonatal Respiratory Health Research
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Pulmonary Hypertension Research and Treatments
- Medical Imaging and Pathology Studies
-
- Liver physiology and pathology
Papers in
-
- Neonatal Respiratory Health Research 3
- Pulmonary Hypertension Research and Treatments 2
- Respiratory Support and Mechanisms 1
- Pleural and Pulmonary Diseases 1
- Surgery 2
- Congenital Diaphragmatic Hernia Studies 1
- Co-authors
- Bi‐Sen Ding (5 shared papers)Zhongwei Cao (4 shared papers)Shahin Rafii (4 shared papers)Koji Shido (3 shared papers)Sina Y. Rabbany (2 shared papers)Raphaël Lis (2 shared papers)Michael Ginsberg (1 shared paper)Thomas P. Sakmar (1 shared paper)
- Journals
- Signal Transduction and Targeted Therapy (1 paper)Nature Medicine (1 paper)Nature Cell Biology (1 paper)Journal of Clinical Investigation (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Deebly Chavez
6 papers receiving 448 citations
Peers
Comparison fields: 5 of 60
- Pulmonary and Respiratory Medicine 194
- Hepatology 45
- Immunology 62
- Genetics 30
- Surgery 103
Countries citing papers authored by Deebly Chavez
This map shows the geographic impact of Deebly Chavez'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 Deebly Chavez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deebly Chavez more than expected).
Fields of papers citing papers by Deebly Chavez
This network shows the impact of papers produced by Deebly Chavez. 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 Deebly Chavez. The network helps show where Deebly Chavez may publish in the future.
Co-authors
The 25 scholars most cited alongside Deebly Chavez, 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 | 2016 | 214 | |
| 2 | 2015 | 128 | |
| 3 | 2016 | 63 | |
| 4 | 2017 | 26 | |
| 5 | 2022 | 19 | |
| 6 | 2023 | 7 |
About Deebly Chavez
Deebly Chavez is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Epidemiology and Hepatology, having authored 6 papers that have together received 457 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), Liver physiology and pathology (2 papers), Sphingolipid Metabolism and Signaling (1 paper), Computational Drug Discovery Methods (1 paper), Respiratory Support and Mechanisms (1 paper), Congenital Diaphragmatic Hernia Studies (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (194 citations), Hepatology (45 citations), Immunology (62 citations), Genetics (30 citations) and Surgery (103 citations). Deebly Chavez has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Bi‐Sen Ding, Zhongwei Cao, Shahin Rafii, Koji Shido, Sina Y. Rabbany, Raphaël Lis, Michael Ginsberg, Thomas P. Sakmar, Guo‐Hua Fong and Ilias Ι. Siempos. Their work appears in journals such as Signal Transduction and Targeted Therapy, Nature Medicine, Nature Cell Biology, Journal of Clinical Investigation and JCI Insight.
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.