Anne E. Asuquo
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Tuberculosis Research and Epidemiology 17
- Epidemiology 15
- Mycobacterium research and diagnosis 10
- Co-authors
- Laura J. V. Piddock (2 shared papers)Yu Jin (1 shared paper)Vito Ricci (1 shared paper)Chukwuemeka E Nwachukwu (1 shared paper)S. J. Utsalo (1 shared paper)Joseph Okebe (1 shared paper)Martin Meremikwu (1 shared paper)A. P. Ekanem (1 shared paper)
In The Last Decade
Anne E. Asuquo
30 papers receiving 441 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 101
- Applied Microbiology and Biotechnology 21
- Infectious Diseases 181
- Clinical Biochemistry 49
- Epidemiology 228
Countries citing papers authored by Anne E. Asuquo
This map shows the geographic impact of Anne E. Asuquo'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 Anne E. Asuquo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne E. Asuquo more than expected).
Fields of papers citing papers by Anne E. Asuquo
This network shows the impact of papers produced by Anne E. Asuquo. 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 Anne E. Asuquo. The network helps show where Anne E. Asuquo may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne E. Asuquo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 84 | |
| 2 | 1999 | 72 | |
| 3 | 1993 | 55 | |
| 4 | 2011 | 40 | |
| 5 | 2012 | 31 | |
| 6 | 2016 | 30 | |
| 7 | 2017 | 25 | |
| 8 | 2012 | 24 | |
| 9 | 2015 | 14 | |
| 10 | 2016 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2014 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2013 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 4 |
About Anne E. Asuquo
Anne E. Asuquo is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Medicine and Endocrinology, having authored 35 papers that have together received 469 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (10 papers), Antibiotic Resistance in Bacteria (7 papers), Vibrio bacteria research studies (7 papers), Infectious Diseases and Tuberculosis (4 papers), Diagnosis and treatment of tuberculosis (4 papers), HIV/AIDS Impact and Responses (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). The work is most often cited by research in Molecular Medicine (101 citations), Applied Microbiology and Biotechnology (21 citations), Infectious Diseases (181 citations), Clinical Biochemistry (49 citations) and Epidemiology (228 citations). Anne E. Asuquo has collaborated with scholars based in Nigeria, Cameroon and Ghana. Frequent co-authors include Laura J. V. Piddock, Yu Jin, Vito Ricci, Chukwuemeka E Nwachukwu, S. J. Utsalo, Joseph Okebe, Martin Meremikwu, A. P. Ekanem, Nalin Rastogi and Lovett Lawson. Their work appears in journals such as Scientific Reports, Studies on Ethno-Medicine, Journal of Antimicrobial Chemotherapy, Infection Genetics and Evolution and Journal of Epidemiology and Global Health.
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.