Philip Kitala

853 citations
21 papers · 577 indexed · h-index 12
Topics
Animal Disease Management and Epidemiology (9 papers)Viral Infections and Vectors (8 papers)Vector-Borne Animal Diseases (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEPLoS neglected tropical diseases

In The Last Decade

Philip Kitala

20 papers receiving 554 citations

Peers

Philip Kitala
Comparison fields: 5 of 51
  • Virology 219
  • Infectious Diseases 216
  • Ecology, Evolution, Behavior and Systematics 175
  • Epidemiology 141
  • Agronomy and Crop Science 140
Replace P M Kitala with:
P M Kitala Kenya
Emily G. Pieracci United States
Héctor Ruíz Spain
Francesco Tolari Italy
Kerry S. Sondgeroth United States
Danilo Álvarez Guatemala
Angela Fanelli Italy
María Cruz Arnal Spain
Umberto Molini Italy
B.J.H. Barnard South Africa
Philip Kitala relative to P M Kitala Kenya P M Kitala's profile →
Citations per field
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P M Kitala · 1×
Citations per year

Countries citing papers authored by Philip Kitala

Since Specialization
Citations

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

Fields of papers citing papers by Philip Kitala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Kitala

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Kitala. A scholar is included among the top collaborators of Philip Kitala 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 Philip Kitala. Philip Kitala 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
#WorkIndexed citations
1 1
2 4
3 1
4 18
5 7
6 2
7 3
8 61
9 30
10 16
11 22
12 13
13 30
14 39
15 11
16
A spatially-explicit simulation model of Rift Valley fever transmission
1
17 43
18 88
19 173
20
Population dynamics of dogs in Machakos District, Kenya: implications for vaccination strategy
3

About Philip Kitala

Philip Kitala is a scholar working on Virology, Agronomy and Crop Science and Infectious Diseases, having authored 21 papers that have together received 577 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (9 papers), Viral Infections and Vectors (8 papers) and Vector-Borne Animal Diseases (8 papers). The work is most often cited by research in Virology (219 citations), Parasitology (99 citations) and Agronomy and Crop Science (140 citations). Philip Kitala has collaborated with scholars based in Kenya, United Kingdom and United States. Frequent co-authors include J M Gathuma, Moses Kyule, Alexander I. Wandeler, Brian D. Perry, John McDermott, John Gachohi, P.N. Ngumi, Nicholas A. Lyons, Robert A. Skilton and Philippa M. Beard. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS neglected tropical diseases.

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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