Chika Ejikeugwu

57 papers receiving 345 citations

Peers

Chika Ejikeugwu
Comparison fields: 5 of 66
  • Molecular Medicine 179
  • Applied Microbiology and Biotechnology 47
  • Endocrinology 62
  • Pollution 76
  • Drug Discovery 1
Replace Suhad Saad Mahmood with:
Suhad Saad Mahmood Iraq
Iroha Ifeanyichukwu Romanus Nigeria
Hossam M. Abdallah Egypt
Shadi Aghamohammad Iran
Benjamin Havenga South Africa
Sandeep D. Vasaikar South Africa
A. T. M. Badruzzaman Bangladesh
Laura Ioana Popa Romania
Sohad M. Dorgham Egypt
Mohammad Ahanjan Iran
Chika Ejikeugwu relative to Suhad Saad Mahmood Iraq Suhad Saad Mahmood's profile →
Citations per field
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Suhad Saad Mahmood · 1×
Citations per year

Countries citing papers authored by Chika Ejikeugwu

Since Specialization
Citations

This map shows the geographic impact of Chika Ejikeugwu'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 Chika Ejikeugwu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chika Ejikeugwu more than expected).

Fields of papers citing papers by Chika Ejikeugwu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chika Ejikeugwu. 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 Chika Ejikeugwu. The network helps show where Chika Ejikeugwu may publish in the future.

Co-authors

The 25 scholars most cited alongside Chika Ejikeugwu, 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 Chika Ejikeugwu Line = papers co-authored together Chika Ejikeugwu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202127
2 201023
3 201621
4 201917
5 201617
6
Extended spectrum beta-lactamase (ESBL) mediated resistance to antibiotics among Klebsiella pneumoniae in Enugu metropolis.
200916
7
Phenotypic Detection of AmpC Beta-Lactamase among Anal Pseudomonasaeruginosa Isolates in a Nigerian Abattoir
201614
8 201811
9 202110
10 201710
11 20139
12 20189
13 20149
14 20229
15 20168
16 20148
17 20178
18 20177
19 20177
20 20197

About Chika Ejikeugwu

Chika Ejikeugwu is a scholar working on Molecular Medicine, Endocrinology, Applied Microbiology and Biotechnology, Pollution and Food Science, having authored 63 papers that have together received 367 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (30 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Vibrio bacteria research studies (9 papers), Bacterial biofilms and quorum sensing (8 papers), Antibiotic Use and Resistance (8 papers), Salmonella and Campylobacter epidemiology (6 papers), Identification and Quantification in Food (5 papers) and Urinary Tract Infections Management (5 papers). The work is most often cited by research in Molecular Medicine (179 citations), Applied Microbiology and Biotechnology (47 citations), Endocrinology (62 citations), Pollution (76 citations) and Drug Discovery (1 citation). Chika Ejikeugwu has collaborated with scholars based in Nigeria, Japan and United Kingdom. Frequent co-authors include Iroha Ifeanyichukwu Romanus, Charles Okechukwu Esimone, Malachy Chigozie Ugwu, Peter M. Eze, Damian Chukwu Odimegwu, Michael Umale Adikwu, David Chinemerem Nwobodo, Ikechukwu Benjamin Moses, Morteza Saki and Hussein O.M. Al-Dahmoshi. Their work appears in journals such as BMC Microbiology, BMC Infectious Diseases, Nature Communications, PLoS ONE and Acta Tropica.

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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