Shabaana A. Khader
- Immunology top 0.2%
- Infectious Diseases top 0.1%
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Surgery top 5%
- Co-authors
- Andrea M. CooperJay K. KollsJavier Rangel‐MorenoSarah L. GaffenJohn E. PearlTroy D. RandallSamantha SlightRadha Gopal
- Topics
- Tuberculosis Research and Epidemiology (58 papers)Mycobacterium research and diagnosis (30 papers)Immunodeficiency and Autoimmune Disorders (22 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Shabaana A. Khader
115 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 6.0k
- Infectious Diseases 4.5k
- Epidemiology 3.6k
- Molecular Biology 1.8k
- Surgery 939
Countries citing papers authored by Shabaana A. Khader
This map shows the geographic impact of Shabaana A. Khader'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 Shabaana A. Khader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shabaana A. Khader more than expected).
Fields of papers citing papers by Shabaana A. Khader
This network shows the impact of papers produced by Shabaana A. Khader. 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 Shabaana A. Khader. The network helps show where Shabaana A. Khader may publish in the future.
Co-authorship network of co-authors of Shabaana A. Khader
This figure shows the co-authorship network connecting the top 25 collaborators of Shabaana A. Khader. A scholar is included among the top collaborators of Shabaana A. Khader 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 Shabaana A. Khader. Shabaana A. Khader 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 | 12 | |
| 3 | 27 | |
| 4 | 11 | |
| 5 | 64 | |
| 6 | 30 | |
| 7 | 63 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 45 | |
| 11 | 34 | |
| 12 | 32 | |
| 13 | 80 | |
| 14 | 93 | |
| 15 | 129 | |
| 16 | 103 | |
| 17 | 95 | |
| 18 | 235 | |
| 19 | 383 | |
| 20 | 110 |
About Shabaana A. Khader
Shabaana A. Khader is a scholar working on Infectious Diseases, Immunology and Virology, having authored 117 papers that have together received 10.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (58 papers), Mycobacterium research and diagnosis (30 papers) and Immunodeficiency and Autoimmune Disorders (22 papers). The work is most often cited by research in Immunology (6.0k citations), Infectious Diseases (4.5k citations) and Epidemiology (3.6k citations). Shabaana A. Khader has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Andrea M. Cooper, Jay K. Kolls, Javier Rangel‐Moreno, Sarah L. Gaffen, John E. Pearl, Troy D. Randall, Samantha Slight, Radha Gopal, Deepak Kaushal and Yinyao Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.