Jane Mwangi

18 papers receiving 185 citations

Peers

Jane Mwangi
Comparison fields: 5 of 72
  • Medical Laboratory Technology 14
  • Nephrology 18
  • Physiology 56
  • Statistics, Probability and Uncertainty 14
  • Endocrinology, Diabetes and Metabolism 29
Replace Simon J Whitehead with:
Simon J Whitehead United Kingdom
Kathleen Becan-McBride United States
Adriana Polachini do Valle Brazil
Henry Christensen Denmark
Kingsley Osei-Kwakye Ghana
Dimitrios Pilalas Greece
Betelihem Terefe Ethiopia
Bristol B. Whiles United States
Adrianna Westbrook United States
Jane Mwangi relative to Simon J Whitehead United Kingdom Simon J Whitehead's profile →
Citations per field
00.5×4.7×
Simon J Whitehead · 1×
Citations per year

Countries citing papers authored by Jane Mwangi

Since Specialization
Citations

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

Fields of papers citing papers by Jane Mwangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201734
2 201833
3 202020
4 201419
5 201718
6 201416
7 201911
8 20146
9 20216
10 20175
11 20234
12 20114
13 20173
14 20223
15 20242
16 20102
17 20082
18 20221
19 20240

About Jane Mwangi

Jane Mwangi is a scholar working on Infectious Diseases, Physiology, Epidemiology, Public Health, Environmental and Occupational Health and Medical Laboratory Technology, having authored 19 papers that have together received 189 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (6 papers), Zoonotic diseases and public health (3 papers), Hepatitis B Virus Studies (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Quality and Safety in Healthcare (3 papers), Biomedical and Engineering Education (3 papers), Hemoglobinopathies and Related Disorders (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Medical Laboratory Technology (14 citations), Nephrology (18 citations), Physiology (56 citations), Statistics, Probability and Uncertainty (14 citations) and Endocrinology, Diabetes and Metabolism (29 citations). Jane Mwangi has collaborated with scholars based in Kenya, United States and South Africa. Frequent co-authors include Peter Ojwang, Rajiv T. Erasmus, Geoffrey Omuse, Daniel Maina, Kiyoshi Ichihara, Elizabeth T. Luman, Zul Premji, Zulfiqarali Premji, Clement Zeh and Wilfred Emonyi. Their work appears in journals such as African Journal of Laboratory Medicine, PLoS ONE, Vox Sanguinis, JAIDS Journal of Acquired Immune Deficiency Syndromes and Tropical Medicine and 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.

Explore authors with similar magnitude of impact