Bonna Ith
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Molecular Biology top 10%
- Heme Oxygenase-1 and Carbon Monoxide
- Genomics, phytochemicals, and oxidative stress
Papers in
- Genetics 4
- Mesenchymal stem cell research 4
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- Protease and Inhibitor Mechanisms 2
- Co-authors
- Mark A. Perrella (12 shared papers)Matthew D. Layne (8 shared papers)Shaw‐Fang Yet (8 shared papers)Xiaoli Liu (9 shared papers)Yen‐Hsu Chen (2 shared papers)Mu-En Lee (3 shared papers)Konstantin Tsoyi (5 shared papers)Koji Maemura (2 shared papers)
- Journals
- Circulation Research (3 papers)Journal of Leukocyte Biology (2 papers)The FASEB Journal (2 papers)American Journal of Respiratory Cell and Molecular Biology (2 papers)Stem Cells (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Bonna Ith
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 77
- Genetics 180
- Molecular Biology 601
- Pathology and Forensic Medicine 84
- Immunology 93
- Pulmonary and Respiratory Medicine 141
Countries citing papers authored by Bonna Ith
This map shows the geographic impact of Bonna Ith'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 Bonna Ith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bonna Ith more than expected).
Fields of papers citing papers by Bonna Ith
This network shows the impact of papers produced by Bonna Ith. 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 Bonna Ith. The network helps show where Bonna Ith may publish in the future.
Co-authors
The 25 scholars most cited alongside Bonna Ith, 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 | 2001 | 377 | |
| 2 | 2003 | 256 | |
| 3 | 2012 | 161 | |
| 4 | 2019 | 99 | |
| 5 | 2002 | 61 | |
| 6 | 2001 | 58 | |
| 7 | 2016 | 57 | |
| 8 | 2005 | 53 | |
| 9 | 2021 | 51 | |
| 10 | 2016 | 41 | |
| 11 | 2004 | 33 | |
| 12 | 2002 | 31 | |
| 13 | 2018 | 13 | |
| 14 | 2021 | 4 |
About Bonna Ith
Bonna Ith is a scholar working on Genetics, Cancer Research, Epidemiology, Immunology and Molecular Biology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Protease and Inhibitor Mechanisms (2 papers), Sepsis Diagnosis and Treatment (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Genetics (180 citations), Molecular Biology (601 citations), Pathology and Forensic Medicine (84 citations), Immunology (93 citations) and Pulmonary and Respiratory Medicine (141 citations). Bonna Ith has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Mark A. Perrella, Matthew D. Layne, Shaw‐Fang Yet, Xiaoli Liu, Yen‐Hsu Chen, Mu-En Lee, Konstantin Tsoyi, Koji Maemura, Nicholas E. S. Sibinga and Joanne S. Ingwall. Their work appears in journals such as Circulation Research, Journal of Leukocyte Biology, The FASEB Journal, American Journal of Respiratory Cell and Molecular Biology and Stem Cells.
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.