Aïcha Bah
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Epidemiology top 10%
- Mycobacterium research and diagnosis
- Autophagy in Disease and Therapy
Papers in
-
- Tuberculosis Research and Epidemiology 2
- COVID-19 Clinical Research Studies 2
-
- Autophagy in Disease and Therapy 3
- Mycobacterium research and diagnosis 1
- Hepatitis B Virus Studies 1
- Co-authors
- Isabelle Vergne (4 shared papers)Audrey Bernut (1 shared paper)Albertus Viljoen (1 shared paper)Jean‐Louis Herrmann (1 shared paper)Roland Brosch (1 shared paper)Fabienne Girard‐Misguich (1 shared paper)Anne‐Laure Roux (1 shared paper)Laura Laencina (1 shared paper)
- Journals
- Open Biology (1 paper)Alzheimer s Research & Therapy (1 paper)Cells (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Aïcha Bah
9 papers receiving 407 citations
Peers
Comparison fields: 5 of 81
- Infectious Diseases 163
- Epidemiology 231
- Small Animals 38
- Molecular Medicine 18
- Immunology 67
Countries citing papers authored by Aïcha Bah
This map shows the geographic impact of Aïcha Bah'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 Aïcha Bah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aïcha Bah more than expected).
Fields of papers citing papers by Aïcha Bah
This network shows the impact of papers produced by Aïcha Bah. 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 Aïcha Bah. The network helps show where Aïcha Bah may publish in the future.
Co-authors
The 25 scholars most cited alongside Aïcha Bah, 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 | 145 | |
| 2 | 2017 | 121 | |
| 3 | 2022 | 55 | |
| 4 | 2020 | 42 | |
| 5 | 2022 | 22 | |
| 6 | 2016 | 14 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 6 | |
| 9 | 2018 | 5 |
About Aïcha Bah
Aïcha Bah is a scholar working on Infectious Diseases, Epidemiology, Physiology, Biomedical Engineering and Surgery, having authored 9 papers that have together received 419 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Tuberculosis Research and Epidemiology (2 papers), Calcium signaling and nucleotide metabolism (2 papers), COVID-19 Clinical Research Studies (2 papers), Blood donation and transfusion practices (1 paper), Mycobacterium research and diagnosis (1 paper), Mosquito-borne diseases and control (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Infectious Diseases (163 citations), Epidemiology (231 citations), Small Animals (38 citations), Molecular Medicine (18 citations) and Immunology (67 citations). Aïcha Bah has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Isabelle Vergne, Audrey Bernut, Albertus Viljoen, Jean‐Louis Herrmann, Roland Brosch, Fabienne Girard‐Misguich, Anne‐Laure Roux, Laura Laencina, Laleh Majlessi and Chantal de Chastellier. Their work appears in journals such as Open Biology, Alzheimer s Research & Therapy, Cells, Frontiers in Cellular and Infection Microbiology 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.