Philip G. McQueen

2.1k total citations
30 papers, 1.6k citations indexed

About

Philip G. McQueen is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Philip G. McQueen has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Philip G. McQueen's work include Malaria Research and Control (7 papers), Genomics and Chromatin Dynamics (6 papers) and Cellular Mechanics and Interactions (4 papers). Philip G. McQueen is often cited by papers focused on Malaria Research and Control (7 papers), Genomics and Chromatin Dynamics (6 papers) and Cellular Mechanics and Interactions (4 papers). Philip G. McQueen collaborates with scholars based in United States, Malaysia and Argentina. Philip G. McQueen's co-authors include Tom Misteli, Luis A. Parada, Peter J. Munson, F. Ellis McKenzie, Jeffrey J. Roix, Ruth Williams, Véronique Azuara, Helle F. Jørgensen, Stephan Sauer and Amanda G. Fisher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Neuron.

In The Last Decade

Philip G. McQueen

29 papers receiving 1.6k citations

Peers

Philip G. McQueen
Comparison fields: 5 of 131
  • Molecular Biology 1.1k
  • Plant Science 309
  • Genetics 303
  • Public Health, Environmental and Occupational Health 220
  • Immunology 108
Replace Eva Bártová with:
Eva Bártová Czechia
Karin Schmitt United States
Michael F. Berger United States
Federico Santoni Switzerland
Joel H. Graber United States
Yuki Kato Japan
Kathy Boon United States
Achim Tresch Germany
Pratyush Kumar Das United States
Eva Bártová Czechia View profile →
Citations per field, relative to Philip G. McQueen
Philip G. McQueen · 1×
Citations per year, relative to Philip G. McQueen
Philip G. McQueen · 1×

Countries citing papers authored by Philip G. McQueen

Since Specialization
Citations

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

Fields of papers citing papers by Philip G. McQueen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip G. McQueen

This figure shows the co-authorship network connecting the top 25 collaborators of Philip G. McQueen. A scholar is included among the top collaborators of Philip G. McQueen 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 G. McQueen. Philip G. McQueen 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
# Work Indexed citations
1 0
2 2
3 5
4 15
5 14
6 13
7 5
8 20
9 18
10 53
11 18
12 19
13 11
14 12
15 35
16 236
17 86
18 283
19 320
20 151

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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