Steven Odongo

21 papers receiving 526 citations

Steven Odongo's Hit Papers

NANOBODIES®: A Review of Diagnostic and Therapeutic Applications 2023 · 260 citations
2600+1+2Years since publication50100150200250

Peers

Steven Odongo
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 167
  • Parasitology 36
  • Small Animals 39
  • Infectious Diseases 89
  • Microbiology 24
Replace Kristoffer E. Leon with:
Kristoffer E. Leon United States
David R. Maass New Zealand
Birgit C. Viertlboeck Germany
S. Srikumaran United States
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Nikolas Friedrich Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Steven Odongo

Since Specialization
Citations

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

Fields of papers citing papers by Steven Odongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NANOBODIES®: A Review of Diagnostic and Therapeutic Applications
Hit paper breakdown →
2023260
2 202141
3 201633
4 202229
5 202124
6 202023
7 201621
8 202317
9 201716
10 202215
11 202014
12 202410
13 201310
14 20218
15 20218
16 20244
17 20163
18 20222
19 20231
20 20241

About Steven Odongo

Steven Odongo is a scholar working on Immunology, Microbiology, Parasitology, Epidemiology and Animal Science and Zoology, having authored 23 papers that have together received 541 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (5 papers), vaccines and immunoinformatics approaches (3 papers), Antimicrobial Peptides and Activities (3 papers), Viral Infections and Vectors (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Aquaculture disease management and microbiota (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (167 citations), Parasitology (36 citations), Small Animals (39 citations), Infectious Diseases (89 citations) and Microbiology (24 citations). Steven Odongo has collaborated with scholars based in Uganda, Belgium and South Korea. Frequent co-authors include Stefan Magez, Magdalena Radwanska, Bo-kyung Jin, Serge Muyldermans, Emmanuel Okello, Yann G.‐J. Sterckx, Gerald Misinzo, Richard Anthony Kock, Benoı̂t Stijlemans and Théo Baltz. Their work appears in journals such as Animals, PLoS neglected tropical diseases, Parasites & Vectors, Frontiers in Molecular Biosciences and Acta veterinaria Scandinavica.

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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