Julia Makinde

1.0k citations
16 papers · 530 · h-index 9

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 3
    • HIV Research and Treatment 5

Julia Makinde

16 papers receiving 514 citations

Peers

Julia Makinde
Comparison fields: 5 of 67
  • Immunology 361
  • Oncology 183
  • Virology 31
  • Radiology, Nuclear Medicine and Imaging 70
  • Infectious Diseases 44
Replace Roanna Ueda with:
Roanna Ueda United States
Konstadinos Kosmatopoulos France
Heath Guay United States
Kevin Larimore United States
Deepyan Chatterjee India
E Braakman Netherlands
L D Barber United States
Liusong Yin United States
F.E. Tynan Australia
Matija Peterlin United States
Julia Makinde relative to Roanna Ueda United States Roanna Ueda's profile →
Citations per field
00.5×6.8×
Roanna Ueda · 1×
Citations per year

Countries citing papers authored by Julia Makinde

Since Specialization
Citations

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

Fields of papers citing papers by Julia Makinde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011325
2 201237
3 201132
4 201529
5 201621
6 201620
7 201620
8 201515
9 201610
10 20214
11 20214
12 20184
13 20153
14 20213
15 20172
16 20221

About Julia Makinde

Julia Makinde is a scholar working on Immunology, Virology, Molecular Biology, Agronomy and Crop Science and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 530 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), HIV Research and Treatment (5 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), vaccines and immunoinformatics approaches (2 papers), Reproductive Physiology in Livestock (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (361 citations), Oncology (183 citations), Virology (31 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Infectious Diseases (44 citations). Julia Makinde has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Linda Wooldridge, Mathew Clement, Andrew K. Sewell, David A. Price, Garry Dolton, John J. Miles, Hugo A. van den Berg, Sian Llewellyn‐Lacey, Mark Peakman and Mai Ping Tan. Their work appears in journals such as Journal of Biological Chemistry, Frontiers in Immunology, PLoS ONE, Scientific Reports and Journal of Antimicrobial Chemotherapy.

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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