Daniel Maina

29 papers receiving 353 citations

Peers

Daniel Maina
Comparison fields: 5 of 84
  • Applied Microbiology and Biotechnology 50
  • Molecular Medicine 78
  • Endocrinology 34
  • Clinical Biochemistry 33
  • Infectious Diseases 86
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Dong Hoon Shin South Korea
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Maria Raftogiannis Greece
Kathleen Dittmann Germany
Stije J. Leopold Thailand
Ae Ja Park South Korea
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Citations per year

Countries citing papers authored by Daniel Maina

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Maina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201952
2 201639
3 201734
4 201833
5 201130
6 201725
7 201325
8 201723
9 202020
10 201718
11 20179
12
[Thyroid function in children with Down's syndrome].
19929
13
A FIVE YEAR REVIEW OF API20E BACTERIA IDENTIFICATION SYSTEM'S PERFORMANCE AT A TEACHING HOSPITAL.
20147
14
Assessment of Antidiabetic Potential of Ficus Sycomorus on Alloxan-induced Diabetic Mice
20127
15
[Vitamin C in children with trisomy 21].
19896
16 20235
17
Evaluation of Antidiabetic Effects kleinia Squarrosa on Alloxanized Diabetic Mice
20124
18 20223
19 20233
20
[Blood zinc in patients with Down's syndrome and its relations with their immune status].
19893

About Daniel Maina

Daniel Maina is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 30 papers that have together received 369 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Antibiotic Use and Resistance (4 papers), Antifungal resistance and susceptibility (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Natural Antidiabetic Agents Studies (2 papers), Clinical Laboratory Practices and Quality Control (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (50 citations), Molecular Medicine (78 citations), Endocrinology (34 citations), Clinical Biochemistry (33 citations) and Infectious Diseases (86 citations). Daniel Maina has collaborated with scholars based in Kenya, South Africa and Tanzania. Frequent co-authors include Geoffrey Omuse, Gunturu Revathi, Rodney D. Adam, Jane Mwangi, Peter Ojwang, Rajiv T. Erasmus, Gunturu Revathi, Samuel Kariuki, Hastings Ozwara and Kiyoshi Ichihara. Their work appears in journals such as PLoS ONE, BMC Endocrine Disorders, Frontiers in Medicine, International Journal of Infectious Diseases and Journal of Clinical Microbiology.

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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