William Mwangi

645 total citations
23 papers, 393 citations indexed

About

William Mwangi is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, William Mwangi has authored 23 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Immunology and 7 papers in Epidemiology. Recurrent topics in William Mwangi's work include T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (3 papers). William Mwangi is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (3 papers). William Mwangi collaborates with scholars based in United Kingdom, United States and Israel. William Mwangi's co-authors include Venugopal Nair, Adrian L. Smith, Colin Butter, Simon P. Graham, Richard K. Beal, John A. Hammond, Lorraine P. Smith, Dalan Bailey, Subrayal M. Reddy and Matthew Tully and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

William Mwangi

22 papers receiving 392 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William Mwangi United Kingdom 11 161 138 107 75 63 23 393
Mindaugas Juozapaitis Lithuania 11 54 0.3× 169 1.2× 232 2.2× 173 2.3× 22 0.3× 19 451
Peiyang Ding China 12 43 0.3× 170 1.2× 39 0.4× 152 2.0× 66 1.0× 39 382
Christophe Barnier-Quer Switzerland 12 184 1.1× 133 1.0× 74 0.7× 84 1.1× 53 0.8× 19 358
D. Hannaman United States 9 130 0.8× 98 0.7× 81 0.8× 133 1.8× 31 0.5× 10 342
Anto Vrdoljak Ireland 11 219 1.4× 138 1.0× 87 0.8× 63 0.8× 26 0.4× 19 754
Jelena Ivančić-Jelečki Croatia 14 25 0.2× 180 1.3× 237 2.2× 141 1.9× 49 0.8× 36 493
Laura Rodríguez United States 14 129 0.8× 118 0.9× 262 2.4× 98 1.3× 29 0.5× 22 415
Pingchao Li China 11 115 0.7× 100 0.7× 98 0.9× 137 1.8× 15 0.2× 32 378
Kairat Tabynov Kazakhstan 10 76 0.5× 70 0.5× 73 0.7× 130 1.7× 47 0.7× 25 274

Countries citing papers authored by William Mwangi

Since Specialization
Citations

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

Fields of papers citing papers by William Mwangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Mwangi

This figure shows the co-authorship network connecting the top 25 collaborators of William Mwangi. A scholar is included among the top collaborators of William Mwangi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William Mwangi. William Mwangi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Noble, Alistair, Ellen C. Moorhouse, Basudev Paudyal, et al.. (2024). Development of bovine IgG3-specific assays using a novel recombinant single-domain binding reagent. Veterinary Immunology and Immunopathology. 278. 110852–110852. 3 indexed citations
2.
Noble, Alistair, Basudev Paudyal, J.C. Schwartz, et al.. (2023). Distinct effector functions mediated by Fc regions of bovine IgG subclasses and their interaction with Fc gamma receptors. Frontiers in Immunology. 14. 1286903–1286903. 8 indexed citations
3.
Mwangi, William, Joseph Ng, Alexander Stewart, et al.. (2023). Diversification of immunoglobulin genes by gene conversion in the domestic chicken (Gallus gallusdomesticus). PubMed. 2(1). kyad002–kyad002. 2 indexed citations
4.
Jarman, Michael, James Nyagwange, J.C. Schwartz, et al.. (2023). A Customizable Suite of Methods to Sequence and Annotate Cattle Antibodies. Vaccines. 11(6). 1099–1099. 3 indexed citations
5.
Roos, Eduard O., William Mwangi, Wilhelm Gerner, Ryan Waters, & John A. Hammond. (2023). OMIP‐089: Cattle T‐cell phenotyping by an 8‐color panel. Cytometry Part A. 103(4). 279–282. 2 indexed citations
6.
EL-Sharif, Hazim F., Sarah R. Dennison, Matthew Tully, et al.. (2022). Evaluation of electropolymerized molecularly imprinted polymers (E-MIPs) on disposable electrodes for detection of SARS-CoV-2 in saliva. Analytica Chimica Acta. 1206. 339777–339777. 56 indexed citations
7.
Paudyal, Basudev, William Mwangi, Pramila Rijal, et al.. (2022). Fc-Mediated Functions of Porcine IgG Subclasses. Frontiers in Immunology. 13. 903755–903755. 20 indexed citations
8.
Roos, Eduard O., William Mwangi, Katy Moffat, et al.. (2022). OMIP‐085: Cattle B‐cell phenotyping by an 8‐color panel. Cytometry Part A. 103(1). 12–15. 5 indexed citations
9.
Entrican, Gary, Joan K. Lunney, Sean Wattegedera, et al.. (2020). The Veterinary Immunological Toolbox: Past, Present, and Future. Frontiers in Immunology. 11. 1651–1651. 12 indexed citations
10.
Reddy, Vishwanatha R. A. P., et al.. (2019). In vitro Interactions of Chicken Programmed Cell Death 1 (PD-1) and PD-1 Ligand-1 (PD-L1). Frontiers in Cellular and Infection Microbiology. 9. 436–436. 7 indexed citations
11.
Ren, Jingshan, Joanne E. Nettleship, Gemma Harris, et al.. (2019). The role of the light chain in the structure and binding activity of two cattle antibodies that neutralize bovine respiratory syncytial virus. Molecular Immunology. 112. 123–130. 11 indexed citations
12.
Ciccone, Nick, Lorraine P. Smith, William Mwangi, et al.. (2017). Early pathogenesis during infectious bursal disease in susceptible chickens is associated with changes in B cell genomic methylation and loss of genome integrity. Developmental & Comparative Immunology. 73. 169–174. 9 indexed citations
13.
14.
Staines, Karen, William Mwangi, Helena J. Maier, et al.. (2016). A Versatile Panel of Reference Gene Assays for the Measurement of Chicken mRNA by Quantitative PCR. PLoS ONE. 11(8). e0160173–e0160173. 24 indexed citations
15.
Mwangi, William, Marylène Péroval, Jean-Rémy Sadeyen, et al.. (2016). Host genetics determine susceptibility to avian influenza infection and transmission dynamics. Scientific Reports. 6(1). 26787–26787. 24 indexed citations
16.
Ciccone, Nick, William Mwangi, Alexey Ruzov, et al.. (2014). A B-cell targeting virus disrupts potentially protective genomic methylation patterns in lymphoid tissue by increasing global 5-hydroxymethylcytosine levels. Veterinary Research. 45(1). 108–108. 3 indexed citations
17.
Mwangi, William. (2013). FACTORS HINDERING ADOPTION OF E-PROCUREMENT IN TELECOMMUNICATION INDUSTRY IN KENYA: CASE OF SAFARICOM LIMITED.
18.
Mwangi, William, Lorraine P. Smith, Susan J. Baigent, et al.. (2011). Clonal Structure of Rapid-Onset MDV-Driven CD4+ Lymphomas and Responding CD8+ T Cells. PLoS Pathogens. 7(5). e1001337–e1001337. 34 indexed citations
19.
Mwangi, William, Richard K. Beal, Claire Powers, et al.. (2009). Regional and global changes in TCRαβ T cell repertoires in the gut are dependent upon the complexity of the enteric microflora. Developmental & Comparative Immunology. 34(4). 406–417. 37 indexed citations
20.
Umland, Oliver, et al.. (2007). The Blood Contains Multiple Distinct Progenitor Populations with Clonogenic B and T Lineage Potential. The Journal of Immunology. 178(7). 4147–4152. 18 indexed citations

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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