Ian Mbano

3.2k citations
3 papers · 18 · h-index 3

Impact in

    • Tuberculosis Research and Epidemiology
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • T-cell and B-cell Immunology

Papers in

    • SARS-CoV-2 and COVID-19 Research 1
    • COVID-19 Clinical Research Studies 1
    • Tuberculosis Research and Epidemiology 1
    • Immunodeficiency and Autoimmune Disorders 1
    • Immune responses and vaccinations 1

Ian Mbano

3 papers receiving 17 citations

Peers

Ian Mbano
Comparison fields: 5 of 17
  • Infectious Diseases 12
  • Immunology 6
  • Modeling and Simulation 1
  • Virology 1
  • Molecular Medicine 1
Replace Hayato Ito with:
Hayato Ito Japan
Thrilok Chander Bingi India
Daoju Wu China
Jifeng Hou China
Renita Brown United States
Chitra Hariharan United States
Arttu Reinholm Finland
Olivia Powers Netherlands
Bamlak Tessema Ethiopia
Ian Mbano relative to Hayato Ito Japan Hayato Ito's profile →
Citations per field
00.5×1.5×
Hayato Ito · 1×
Citations per year

Countries citing papers authored by Ian Mbano

Since Specialization
Citations

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

Fields of papers citing papers by Ian Mbano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ian Mbano, 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 Ian Mbano Line = papers co-authored together Ian Mbano links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 20249
2 20215
3 20204

About Ian Mbano

Ian Mbano is a scholar working on Infectious Diseases, Immunology, Epidemiology, Biomedical Engineering and Organic Chemistry, having authored 3 papers that have together received 18 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (1 paper), Biosensors and Analytical Detection (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 Clinical Research Studies (1 paper), Microfluidic and Capillary Electrophoresis Applications (1 paper), Tuberculosis Research and Epidemiology (1 paper), Immune responses and vaccinations (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Infectious Diseases (12 citations), Immunology (6 citations), Modeling and Simulation (1 citation), Virology (1 citation) and Molecular Medicine (1 citation). Ian Mbano has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Adrie J. C. Steyn, Mark A. Chambers, Jared S. Mackenzie, Khadija Khan, Robert Krause, Manormoney Pillay, Rajhmun Madansein, Frederick Balagadde, Kievershen Nargan and Liku B. Tezera. Their work appears in journals such as JCI Insight, Communications Biology and The Journal of Applied Laboratory Medicine.

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