Daniel Maina

22 papers receiving 362 citations

Peers

Daniel Maina
Comparison fields: 5 of 79
  • Applied Microbiology and Biotechnology 39
  • Molecular Medicine 64
  • Endocrinology 28
  • Infectious Diseases 79
  • Epidemiology 80
Replace Padmanaban Venkatesan with:
Padmanaban Venkatesan India
Onur Kaya Türkiye
Kathleen Dittmann Germany
Oana Mariana Cristea Romania
Isabelle Patry France
Monil Singhai India
F. Rossi Italy
Inmaculada López-Montesinos Spain
Stephen Osmon United States
Issa Guiraud Burkina Faso
Daniel Maina relative to Padmanaban Venkatesan India Padmanaban Venkatesan's profile →
Citations per field
00.5×1.5×2×2.4×
Padmanaban Venkatesan · 1×
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201956
2 201642
3 201837
4 201735
5 201134
6 201329
7 201727
8 202024
9 201723
10 201720
11 20179
12
A FIVE YEAR REVIEW OF API20E BACTERIA IDENTIFICATION SYSTEM'S PERFORMANCE AT A TEACHING HOSPITAL.
20147
13
Assessment of Antidiabetic Potential of Ficus Sycomorus on Alloxan-induced Diabetic Mice
20127
14 20236
15 20225
16
Evaluation of Antidiabetic Effects kleinia Squarrosa on Alloxanized Diabetic Mice
20124
17 20233
18
SUITABILITY OF VITEK 2 SYSTEM IN IDENTIFICATION AND SUSCEPTIBILITY TESTING OF GRAM NEGATIVE BACTEREMIAS BY DIRECT INOCULATION.
20142
19 20232
20 20241

About Daniel Maina

Daniel Maina is a scholar working on Molecular Medicine, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Nephrology and Infectious Diseases, having authored 22 papers that have together received 375 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Chronic Kidney Disease and Diabetes (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Natural Antidiabetic Agents Studies (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Kidney Stones and Urolithiasis Treatments (1 paper), Digital Imaging for Blood Diseases (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (39 citations), Molecular Medicine (64 citations), Endocrinology (28 citations), Infectious Diseases (79 citations) and Epidemiology (80 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, Rajiv Timothy Erasmus, Peter Ojwang, Jane Mwangi, Samuel Kariuki, Gunturu Revathi, Hastings Ozwara and Kiyoshi Ichihara. Their work appears in journals such as PLoS ONE, BMC Endocrine Disorders, Frontiers in Medicine, Journal of Clinical Microbiology and BMC Nephrology.

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.

Explore authors with similar magnitude of impact