Lillian Wambua

559 total citations
22 papers, 340 citations indexed

About

Lillian Wambua is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Lillian Wambua has authored 22 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Lillian Wambua's work include Viral Infections and Vectors (7 papers), Vector-Borne Animal Diseases (5 papers) and Vector-borne infectious diseases (4 papers). Lillian Wambua is often cited by papers focused on Viral Infections and Vectors (7 papers), Vector-Borne Animal Diseases (5 papers) and Vector-borne infectious diseases (4 papers). Lillian Wambua collaborates with scholars based in Kenya, United States and Germany. Lillian Wambua's co-authors include Moses Otiende, Jandouwe Villinger, Daniel O. Ouso, Daniel Masiga, Balázs Papp, David R. Westhead, Christopher J. T. Hyland, Glenn A. McConkey, John W. Pinney and Edward Edmond Makhulu and has published in prestigious journals such as PLoS ONE, Scientific Reports and PLoS neglected tropical diseases.

In The Last Decade

Lillian Wambua

21 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lillian Wambua Kenya 13 93 80 79 71 67 22 340
D Otgonbaatar Mongolia 12 156 1.7× 93 1.2× 89 1.1× 39 0.5× 161 2.4× 15 336
Amauri Arias Wenceslau Brazil 14 85 0.9× 66 0.8× 69 0.9× 100 1.4× 193 2.9× 33 531
Hans‐Henrik Fuxelius Sweden 6 40 0.4× 71 0.9× 138 1.7× 82 1.2× 127 1.9× 7 395
Mi‐Yeoun Park South Korea 14 155 1.7× 81 1.0× 95 1.2× 52 0.7× 218 3.3× 28 477
Isabel Marcelino France 14 122 1.3× 41 0.5× 109 1.4× 22 0.3× 205 3.1× 29 408
Laetitia Rouli France 6 78 0.8× 70 0.9× 132 1.7× 46 0.6× 104 1.6× 7 328
Lat Lat Htun Myanmar 13 93 1.0× 37 0.5× 50 0.6× 33 0.5× 227 3.4× 44 411
Henry M. Kariithi Kenya 17 177 1.9× 83 1.0× 171 2.2× 162 2.3× 32 0.5× 41 568
Bárbara Maria Paraná da Silva Souza Brazil 11 75 0.8× 154 1.9× 26 0.3× 93 1.3× 145 2.2× 28 332
Muhammad Umair Aziz Hong Kong 10 126 1.4× 34 0.4× 21 0.3× 65 0.9× 190 2.8× 24 307

Countries citing papers authored by Lillian Wambua

Since Specialization
Citations

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

Fields of papers citing papers by Lillian Wambua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lillian Wambua

This figure shows the co-authorship network connecting the top 25 collaborators of Lillian Wambua. A scholar is included among the top collaborators of Lillian Wambua 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 Lillian Wambua. Lillian Wambua 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.
Abkallo, Hussein M., James Akoko, Francis Gakuya, et al.. (2025). The Bacterial and pathogenic landscape of African buffalo (Syncerus caffer) whole blood and serum from Kenya. Animal Microbiome. 7(1). 6–6.
2.
Wambua, Lillian, Bernard Bett, Hussein M. Abkallo, et al.. (2025). National serosurvey and risk mapping reveal widespread distribution of Coxiella burnetii in Kenya. Scientific Reports. 15(1). 9706–9706. 1 indexed citations
3.
Akoko, James, Athman Mwatondo, Mathew Muturi, et al.. (2023). Seroprevalence of Brucella spp. and Rift Valley fever virus among slaughterhouse workers in Isiolo County, northern Kenya. PLoS neglected tropical diseases. 17(10). e0011677–e0011677. 3 indexed citations
4.
Muloi, Dishon, et al.. (2023). Practices and drivers for antibiotic use in cattle production systems in Kenya. One Health. 17. 100646–100646. 14 indexed citations
5.
Akoko, James, Athman Mwatondo, Mathew Muturi, et al.. (2023). Mapping brucellosis risk in Kenya and its implications for control strategies in sub-Saharan Africa. Scientific Reports. 13(1). 20192–20192. 5 indexed citations
6.
Gakuya, Francis, James Akoko, Lillian Wambua, et al.. (2022). Evidence of co-exposure with Brucella spp, Coxiella burnetii, and Rift Valley fever virus among various species of wildlife in Kenya. PLoS neglected tropical diseases. 16(8). e0010596–e0010596. 10 indexed citations
7.
Makhulu, Edward Edmond, et al.. (2021). Tsetse blood-meal sources, endosymbionts and trypanosome-associations in the Maasai Mara National Reserve, a wildlife-human-livestock interface. PLoS neglected tropical diseases. 15(1). e0008267–e0008267. 15 indexed citations
8.
Villinger, Jandouwe, Daniel Masiga, Maurice K. Murungi, et al.. (2021). Molecular prevalence and risk factors associated with tick-borne pathogens in cattle in western Kenya. BMC Veterinary Research. 17(1). 363–363. 30 indexed citations
9.
Ouso, Daniel O., Moses Otiende, Joel L. Bargul, et al.. (2020). Three-gene PCR and high-resolution melting analysis for differentiating vertebrate species mitochondrial DNA for biodiversity research and complementing forensic surveillance. Scientific Reports. 10(1). 4741–4741. 29 indexed citations
10.
Musyoki, Abednego Moki, et al.. (2020). Arboviruses and Blood Meal Sources in Zoophilic Mosquitoes at Human-Wildlife Interfaces in Kenya. Vector-Borne and Zoonotic Diseases. 20(6). 444–453. 15 indexed citations
11.
Kulohoma, Benard W., et al.. (2020). Prevalence of trypanosomes associated with drug resistance in Shimba Hills, Kwale County, Kenya. BMC Research Notes. 13(1). 234–234. 13 indexed citations
12.
Villinger, Jandouwe, George Ong’amo, Moses Otiende, et al.. (2020). Pathogens, endosymbionts, and blood-meal sources of host-seeking ticks in the fast-changing Maasai Mara wildlife ecosystem. PLoS ONE. 15(8). e0228366–e0228366. 28 indexed citations
13.
Wambua, Lillian, et al.. (2019). Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya. BMC Research Notes. 12(1). 151–151. 8 indexed citations
14.
Wagacha, John M., et al.. (2018). A metagenomic study of the rumen virome in domestic caprids. Archives of Virology. 163(12). 3415–3419. 15 indexed citations
15.
16.
Wambua, Lillian, Bernd Schneider, Chris S. Jones, et al.. (2017). Development of field-applicable tests for rapid and sensitive detection of Candidatus Phytoplasma oryzae. Molecular and Cellular Probes. 35. 44–56. 30 indexed citations
17.
Fischer, Anne, Lillian Wambua, Charles A. O. Midega, et al.. (2016). Draft Genome Sequence of “ Candidatus Phytoplasma oryzae” Strain Mbita1, the Causative Agent of Napier Grass Stunt Disease in Kenya. Genome Announcements. 4(2). 14 indexed citations
18.
19.
Wambua, Lillian, et al.. (2015). Saving livestock fodder in East Africa: development of a rapid penside diagnostic assay for detection of napier grass stunt phytoplasma. Phytopathogenic Mollicutes. 5(1s). S23–S23. 1 indexed citations
20.
Pinney, John W., Balázs Papp, Christopher J. T. Hyland, et al.. (2007). Metabolic reconstruction and analysis for parasite genomes. Trends in Parasitology. 23(11). 548–554. 35 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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