Philip Awadalla

38.8k citations
74 papers · 3.7k indexed · 1 hit paper · h-index 35
Topics
Evolution and Genetic Dynamics (14 papers)Malaria Research and Control (13 papers)Genetic Associations and Epidemiology (8 papers)

In The Last Decade

Philip Awadalla

72 papers receiving 3.6k citations

Hit Papers

A Coalescent-Based Method for Detecting and Estimating Re...20022026201020182002100200300400500

Peers

Philip Awadalla
Comparison fields: 5 of 136
  • Molecular Biology 1.4k
  • Genetics 1.2k
  • Public Health, Environmental and Occupational Health 851
  • Plant Science 536
  • Immunology 496
Replace Matteo Fumagalli with:
Matteo Fumagalli Italy
Richard D. Emes United Kingdom
Stefan Krebs Germany
Fernando Pardo‐Manuel de Villena United States
Donna M. Muzny United States
Elinor K. Karlsson United States
Vikram Misra Canada
David Serre United States
Moira K. O’Bryan Australia
Juan F. Medrano United States
Philip Awadalla relative to Matteo Fumagalli Italy Matteo Fumagalli's profile →
Citations per field
00.5×3.8×
Matteo Fumagalli · 1×
Citations per year

Countries citing papers authored by Philip Awadalla

Since Specialization
Citations

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

Fields of papers citing papers by Philip Awadalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Awadalla

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Awadalla. A scholar is included among the top collaborators of Philip Awadalla 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 Awadalla. Philip Awadalla 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 0
2 1
3 36
4 23
5 27
6 42
7 88
8 7
9 58
10 12
11 34
12 10
13 68
14 12
15 44
16 51
17
Genome-wide variation and identification of vaccine targets in the Plasmodium falciparum genome
1
18 29
19 85
20 78

About Philip Awadalla

Philip Awadalla is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Virology, having authored 74 papers that have together received 3.7k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (14 papers), Malaria Research and Control (13 papers) and Genetic Associations and Epidemiology (8 papers). The work is most often cited by research in Genetics (1.2k citations), Public Health, Environmental and Occupational Health (851 citations) and Aging (49 citations). Philip Awadalla has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Gil McVean, Paul Fearnhead, Deborah Charlesworth, Youssef Idaghdour, Xin Su, Kermit Ritland, Jianbing Mu, Kate McGee, Jean-Philippe Goulet and Junhui Duan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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