Philip C. Bevilacqua

12.8k citations
192 papers · 10.0k indexed · 2 hit papers · h-index 56
Topics
RNA and protein synthesis mechanisms (176 papers)RNA modifications and cancer (78 papers)RNA Research and Splicing (63 papers)

In The Last Decade

Philip C. Bevilacqua

189 papers receiving 9.9k citations

Hit Papers

In vivo genome-wide profiling of RNA secondary structure ...201020262015202020132010200400600

Peers

Philip C. Bevilacqua
Comparison fields: 5 of 133
  • Molecular Biology 8.9k
  • Genetics 787
  • Ecology 748
  • Immunology 618
  • Materials Chemistry 569
Replace Nils G. Walter with:
Nils G. Walter United States
Anna Marie Pyle United States
Gabriele Varani United States
Joseph D. Puglisi United States
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A.R. Ferré-D′Amaré United States
Timothy M. Lohman United States
Christine Ebel France
Philip C. Bevilacqua relative to Nils G. Walter United States Nils G. Walter's profile →
Citations per field
00.5×5.0×
Nils G. Walter · 1×
Citations per year

Countries citing papers authored by Philip C. Bevilacqua

Since Specialization
Citations

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

Fields of papers citing papers by Philip C. Bevilacqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip C. Bevilacqua

This figure shows the co-authorship network connecting the top 25 collaborators of Philip C. Bevilacqua. A scholar is included among the top collaborators of Philip C. Bevilacqua 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 C. Bevilacqua. Philip C. Bevilacqua 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 3
3 8
4 32
5 11
6 40
7 12
8 1
9 12
10 79
11 36
12 2
13 27
14 19
15 16
16 14
17 41
18 24
19 67
20 22

About Philip C. Bevilacqua

Philip C. Bevilacqua is a scholar working on Molecular Biology, Hepatology and Ecology, having authored 192 papers that have together received 10.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (176 papers), RNA modifications and cancer (78 papers) and RNA Research and Splicing (63 papers). The work is most often cited by research in Molecular Biology (8.9k citations), Hepatology (374 citations) and Ecology (748 citations). Philip C. Bevilacqua has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Sarah M. Assmann, Christine D. Keating, Shu‐ichi Nakano, Subba Rao Nallagatla, Durga M. Chadalavada, Chun Kit Kwok, Yin Tang, Douglas H. Turner, Yiliang Ding and Christopher A. Strulson. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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