Philip N. Howles

4.0k total citations · 1 hit paper
45 papers, 3.0k citations indexed

About

Philip N. Howles is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Philip N. Howles has authored 45 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Surgery, 25 papers in Molecular Biology and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Philip N. Howles's work include Cholesterol and Lipid Metabolism (18 papers), Drug Transport and Resistance Mechanisms (11 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). Philip N. Howles is often cited by papers focused on Cholesterol and Lipid Metabolism (18 papers), Drug Transport and Resistance Mechanisms (11 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). Philip N. Howles collaborates with scholars based in United States, China and United Kingdom. Philip N. Howles's co-authors include David Y. Hui, Thomas Doetschman, Gabriele Proetzel, Mark W. J. Ferguson, Michael V. Wiles, Sharon A. Pawlowski, Gregory P. Boivin, Moying Yin, Patrick Tso and Eric D. Labonté and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Philip N. Howles

45 papers receiving 2.9k citations

Hit Papers

Transforming growth factor–β3 is required for secondary p... 1995 2026 2005 2015 1995 250 500 750

Peers

Philip N. Howles
Comparison fields: 5 of 114
  • Molecular Biology 1.8k
  • Surgery 853
  • Genetics 664
  • Oncology 449
  • Endocrinology, Diabetes and Metabolism 380
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Citations per field, relative to Philip N. Howles
Philip N. Howles · 1×
Citations per year, relative to Philip N. Howles
Philip N. Howles · 1×

Countries citing papers authored by Philip N. Howles

Since Specialization
Citations

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

Fields of papers citing papers by Philip N. Howles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip N. Howles

This figure shows the co-authorship network connecting the top 25 collaborators of Philip N. Howles. A scholar is included among the top collaborators of Philip N. Howles 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 N. Howles. Philip N. Howles 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 16
2 19
3 41
4 58
5 18
6 9
7 9
8 127
9 13
10 115
11 3
12 96
13 57
14 92
15 14
16 57
17 164
18 262
19
Transforming growth factor–β3 is required for secondary palate fusion breakdown →
759
20 10

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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