Rebecca C. Poulos

2.0k citations
28 papers · 854 indexed · 1 hit paper · h-index 16
Topics
Cancer Genomics and Diagnostics (11 papers)Genetic factors in colorectal cancer (5 papers)Genomics and Chromatin Dynamics (5 papers)

In The Last Decade

Rebecca C. Poulos

27 papers receiving 845 citations

Hit Papers

Machine learning for multi-omics data integration in cancer2022202620232024202250100150

Peers

Rebecca C. Poulos
Comparison fields: 5 of 104
  • Molecular Biology 581
  • Cancer Research 290
  • Genetics 104
  • Oncology 84
  • Pathology and Forensic Medicine 83
Replace Jordi Martorell‐Marugán with:
Jordi Martorell‐Marugán Spain
B.J.C. van den Bosch Netherlands
Matthew F. Buas United States
Suzanne Kolb United States
Philip Law United Kingdom
Elisabetta Carico Italy
You Guo China
Geoff Macintyre Australia
Kim De Ruyck Belgium
Ryan A. Hlady United States
Rebecca C. Poulos relative to Jordi Martorell‐Marugán Spain Jordi Martorell‐Marugán's profile →
Citations per field
00.5×10×20×30×43×
Jordi Martorell‐Marugán · 1×
Citations per year

Countries citing papers authored by Rebecca C. Poulos

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca C. Poulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca C. Poulos

This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca C. Poulos. A scholar is included among the top collaborators of Rebecca C. Poulos 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 Rebecca C. Poulos. Rebecca C. Poulos 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 1
2 15
3 9
4 1
5 0
6
Machine learning for multi-omics data integration in cancerbreakdown →
168
7 22
8 10
9 48
10 35
11 15
12 16
13 53
14 67
15 10
16 144
17 53
18 19
19 21
20 22

About Rebecca C. Poulos

Rebecca C. Poulos is a scholar working on Cancer Research, Pathology and Forensic Medicine and Molecular Biology, having authored 28 papers that have together received 854 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Genetic factors in colorectal cancer (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Cancer Research (290 citations), Molecular Biology (581 citations) and Health Informatics (7 citations). Rebecca C. Poulos has collaborated with scholars based in Australia, Hong Kong and United Kingdom. Frequent co-authors include Jason W.H. Wong, Zhaoxiang Cai, Qing Zhong, John E. Pimanda, Jia Liu, Dominik Beck, D. S. Perera, Anushi Shah, Jake Olivier and Roger R. Reddel. Their work appears in journals such as Nature, Nucleic Acids Research and Cancer Cell.

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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