Khallil Taverna Chaim
- Infectious Diseases
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Cognitive Neuroscience
- Surgery
- Co-authors
- Maria Concepción García OtaduyNan‐Jie GongChunlei LiuJingjia ChenJulián TejadaSílvio MoratoAmaro Nunes Duarte‐NetoLuiz Fernando Ferraz da Silva
- Topics
- Advanced MRI Techniques and Applications (8 papers)Functional Brain Connectivity Studies (6 papers)Advanced Neuroimaging Techniques and Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaNano LettersPLoS ONE
- Partner nations
- BrazilGermanyUnited States
In The Last Decade
Khallil Taverna Chaim
20 papers receiving 381 citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 107
- Radiology, Nuclear Medicine and Imaging 100
- Neurology 85
- Cognitive Neuroscience 81
- Surgery 68
Countries citing papers authored by Khallil Taverna Chaim
This map shows the geographic impact of Khallil Taverna Chaim'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 Khallil Taverna Chaim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khallil Taverna Chaim more than expected).
Fields of papers citing papers by Khallil Taverna Chaim
This network shows the impact of papers produced by Khallil Taverna Chaim. 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 Khallil Taverna Chaim. The network helps show where Khallil Taverna Chaim may publish in the future.
Co-authorship network of co-authors of Khallil Taverna Chaim
This figure shows the co-authorship network connecting the top 25 collaborators of Khallil Taverna Chaim. A scholar is included among the top collaborators of Khallil Taverna Chaim 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 Khallil Taverna Chaim. Khallil Taverna Chaim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 67 | |
| 12 | 166 | |
| 13 | 6 | |
| 14 | 7 | |
| 15 | 24 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 24 | |
| 19 | 17 | |
| 20 | 13 |
About Khallil Taverna Chaim
Khallil Taverna Chaim is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 23 papers that have together received 387 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (8 papers), Functional Brain Connectivity Studies (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). The work is most often cited by research in Infectious Diseases (107 citations), Neurology (85 citations) and Radiology, Nuclear Medicine and Imaging (100 citations). Khallil Taverna Chaim has collaborated with scholars based in Brazil, Germany and United States. Frequent co-authors include Maria Concepción García Otaduy, Nan‐Jie Gong, Chunlei Liu, Jingjia Chen, Julián Tejada, Sílvio Morato, Amaro Nunes Duarte‐Neto, Luiz Fernando Ferraz da Silva, Michele Soares Gomes‐Gouvêa and João Renato Rebello Pinho. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and PLoS ONE.
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.