Anne E. Asuquo

622 citations
34 papers · 473 · h-index 11

Impact in

Papers in

Anne E. Asuquo

30 papers receiving 445 citations

Peers

Anne E. Asuquo
Comparison fields: 5 of 77
  • Molecular Medicine 90
  • Infectious Diseases 168
  • Applied Microbiology and Biotechnology 17
  • Clinical Biochemistry 41
  • Epidemiology 179
Replace J.-H. Chia with:
J.-H. Chia Taiwan
Patricia Farrel United States
Tsi-Shu Huang Taiwan
Rémi Le Guern France
Genoveva Yagüe Spain
Teresa Sukiennik Brazil
Yusuf Önlen Türkiye
S. Alvarez United States
Brian Koll United States
Rani Diana Sahni India
Anne E. Asuquo relative to J.-H. Chia Taiwan J.-H. Chia's profile →
Citations per field
00.5×3.1×
J.-H. Chia · 1×
Citations per year

Countries citing papers authored by Anne E. Asuquo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anne E. Asuquo Line = papers co-authored together Anne E. Asuquo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200584
2 199972
3 199355
4 201141
5 201232
6 201631
7 201725
8 201224
9 201514
10 201611
11 201911
12 20148
13 20197
14 20206
15 20136
16 20196
17 20215
18 20215
19 20135
20 20224

About Anne E. Asuquo

Anne E. Asuquo is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Endocrinology and Surgery, having authored 34 papers that have together received 473 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Mycobacterium research and diagnosis (8 papers), Antibiotic Resistance in Bacteria (7 papers), Vibrio bacteria research studies (6 papers), Diagnosis and treatment of tuberculosis (4 papers), Infectious Diseases and Mycology (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Molecular Medicine (90 citations), Infectious Diseases (168 citations), Applied Microbiology and Biotechnology (17 citations), Clinical Biochemistry (41 citations) and Epidemiology (179 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, Joseph Okebe, Martin Meremikwu, S. J. Utsalo, A. P. Ekanem, Lovett Lawson and Nalin Rastogi. Their work appears in journals such as Studies on Ethno-Medicine, Journal of Antimicrobial Chemotherapy, Scientific Reports, BMC Infectious Diseases and African Journal of Traditional Complementary and Alternative Medicines.

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.

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