Philip H. Howe

6.4k citations
104 papers · 5.2k indexed · h-index 46
Topics
TGF-β signaling in diseases (27 papers)RNA modifications and cancer (19 papers)RNA Research and Splicing (18 papers)

In The Last Decade

Philip H. Howe

104 papers receiving 5.1k citations

Peers

Philip H. Howe
Comparison fields: 5 of 111
  • Molecular Biology 3.7k
  • Oncology 1.6k
  • Cancer Research 1.1k
  • Immunology 788
  • Cell Biology 474
Replace Maréne Landström with:
Maréne Landström Sweden
Sam W. Lee United States
Marie‐Christine Rio France
Lindsey D. Mayo United States
Anna‐Karin Olsson Sweden
Hans van Dam Netherlands
C D Bucana United States
Xianxin Hua United States
D Kufe United States
Antonino Passaniti United States
Philip H. Howe relative to Maréne Landström Sweden Maréne Landström's profile →
Citations per field
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Citations per year

Countries citing papers authored by Philip H. Howe

Since Specialization
Citations

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

Fields of papers citing papers by Philip H. Howe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip H. Howe

This figure shows the co-authorship network connecting the top 25 collaborators of Philip H. Howe. A scholar is included among the top collaborators of Philip H. Howe 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 H. Howe. Philip H. Howe 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 5
2 4
3 9
4 2
5 35
6 26
7 69
8 20
9 1
10 55
11 157
12 9
13 53
14 109
15 98
16 48
17 120
18
Oxidized low density lipoprotein and lysophosphatidylcholine stimulation of DNA synthesis in vascular smooth muscle cells appears mediated by basic fibroblast growth factor.
1
19 73
20 34

About Philip H. Howe

Philip H. Howe is a scholar working on Immunology and Allergy, Cancer Research and Molecular Biology, having authored 104 papers that have together received 5.2k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (27 papers), RNA modifications and cancer (19 papers) and RNA Research and Splicing (18 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.6k citations) and Molecular Biology (3.7k citations). Philip H. Howe has collaborated with scholars based in United States, France and Türkiye. Frequent co-authors include Arindam Chaudhury, Gary Wildey, Edward B. Leof, Céline Prunier, Barbara A. Hocevar, Ge Jin, George S. Hussey, Breege V. Howley, Kumar B. Reddy and Praveen Chander. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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