A Niang
Impact in
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- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- Tuberculosis Research and Epidemiology 3
- Surgery 3
- Diagnosis and treatment of tuberculosis 2
- Co-authors
- I Wone (1 shared paper)Amadou Diop (3 shared papers)Mactar Faye (1 shared paper)Seydina M. Diene (1 shared paper)Jean‐Marc Rolain (1 shared paper)Racha Beyrouthy (1 shared paper)Richard Bonnet (1 shared paper)Florence Fenollar (1 shared paper)
- Journals
- Pathogens (1 paper)Néphrologie & Thérapeutique (2 papers)African Journal of Microbiology Research (1 paper)Health sciences and disease (1 paper)PubMed (3 papers)
In The Last Decade
A Niang
8 papers receiving 24 citations
Peers
Comparison fields: 5 of 22
- Molecular Medicine 9
- Applied Microbiology and Biotechnology 3
- Speech and Hearing 6
- Clinical Biochemistry 6
- Endocrinology 4
Countries citing papers authored by A Niang
This map shows the geographic impact of A Niang'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 A Niang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Niang more than expected).
Fields of papers citing papers by A Niang
This network shows the impact of papers produced by A Niang. 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 A Niang. The network helps show where A Niang may publish in the future.
Co-authors
The 14 scholars most cited alongside A Niang, 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 | [Smoking habits among physicians in Dakar]. | 2001 | 9 |
| 2 | 2023 | 5 | |
| 3 | 2018 | 4 | |
| 4 | [Familial tuberculosis: tracing the contacts of an infectious case]. | 2007 | 2 |
| 5 | Aspects epidemiologiques, cliniques et evolutifs de l'insuffisance renale chronique (IRC) chez l'enfant dans un hopital pediatrique Senegalais | 2014 | 1 |
| 6 | Séroprévalence des marqueurs d’agents infectieux(vih, vhb, vhc et syphilis) chez les donneurs de sang à ziguinchor | 2021 | 1 |
| 7 | Analyse de la biopsie renale chez l'enfant a l'Hopital Aristide le Dantec de Dakar | 2015 | 1 |
| 8 | [Determination of risk factors of smear-negative pulmonary tuberculosis]. | 2005 | 1 |
| 9 | 2016 | 0 | |
| 10 | 2017 | 0 |
About A Niang
A Niang is a scholar working on Infectious Diseases, Surgery, Clinical Biochemistry, Molecular Medicine and Molecular Biology, having authored 10 papers that have together received 24 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Antibiotic Resistance in Bacteria (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Renal Diseases and Glomerulopathies (1 paper), School Health and Nursing Education (1 paper) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Molecular Medicine (9 citations), Applied Microbiology and Biotechnology (3 citations), Speech and Hearing (6 citations), Clinical Biochemistry (6 citations) and Endocrinology (4 citations). A Niang has collaborated with scholars based in Senegal and France. Frequent co-authors include I Wone, Amadou Diop, Mactar Faye, Seydina M. Diene, Jean‐Marc Rolain, Racha Beyrouthy, Richard Bonnet, Florence Fenollar, Aïssatou Gaye‐Diallo and Linda Hadjadj. Their work appears in journals such as Pathogens, Néphrologie & Thérapeutique, African Journal of Microbiology Research, Health sciences and disease and PubMed.
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.