Chiara Achangwa
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Epidemiology
- Infectious Diseases
- Modeling and Simulation top 5%
- Co-authors
- Marco CasaroliFiorella BiasiDiego VanuzzoPatrizio PratiPierre‐Jean TouboulSukhyun RyuMoo‐Sik LeeJun‐Sik Lim
- Topics
- SARS-CoV-2 and COVID-19 Research (6 papers)COVID-19 epidemiological studies (6 papers)COVID-19 Clinical Research Studies (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineModeling and SimulationPulmonary and Respiratory Medicine
- Partner nations
- South KoreaCameroonUnited States
In The Last Decade
Chiara Achangwa
26 papers receiving 456 citations
Peers
Comparison fields: 5 of 88
- Cardiology and Cardiovascular Medicine 231
- Pulmonary and Respiratory Medicine 192
- Epidemiology 124
- Infectious Diseases 89
- Modeling and Simulation 42
Countries citing papers authored by Chiara Achangwa
This map shows the geographic impact of Chiara Achangwa'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 Chiara Achangwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Achangwa more than expected).
Fields of papers citing papers by Chiara Achangwa
This network shows the impact of papers produced by Chiara Achangwa. 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 Chiara Achangwa. The network helps show where Chiara Achangwa may publish in the future.
Co-authorship network of co-authors of Chiara Achangwa
This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Achangwa. A scholar is included among the top collaborators of Chiara Achangwa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chiara Achangwa. Chiara Achangwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 43 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 28 | |
| 16 | 44 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 11 |
About Chiara Achangwa
Chiara Achangwa is a scholar working on Modeling and Simulation, Leadership and Management and Infectious Diseases, having authored 27 papers that have together received 470 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (231 citations), Modeling and Simulation (42 citations) and Pulmonary and Respiratory Medicine (192 citations). Chiara Achangwa has collaborated with scholars based in South Korea, Cameroon and United States. Frequent co-authors include Marco Casaroli, Fiorella Biasi, Diego Vanuzzo, Patrizio Prati, Pierre‐Jean Touboul, Sukhyun Ryu, Moo‐Sik Lee, Jun‐Sik Lim, Edgar Mulogo and Jang‐Ho Bae. Their work appears in journals such as Stroke, The Journal of Infectious Diseases and Frontiers in Immunology.
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.