Shannon K. McWeeney

18.1k citations
202 papers · 7.2k indexed · 2 hit papers · h-index 46
Topics
Acute Myeloid Leukemia Research (33 papers)Bioinformatics and Genomic Networks (25 papers)Chronic Myeloid Leukemia Treatments (25 papers)

In The Last Decade

Shannon K. McWeeney

196 papers receiving 7.2k citations

Hit Papers

Defining the CREB Regulon200420262011201820042013100200300400500

Peers

Shannon K. McWeeney
Comparison fields: 5 of 161
  • Molecular Biology 3.8k
  • Hematology 1.2k
  • Genetics 1.0k
  • Immunology 906
  • Epidemiology 864
Replace Peter J. van der Spek with:
Peter J. van der Spek Netherlands
Nathan Salomonis United States
Melanie Bahlo Australia
Richard A. Spritz United States
Simon Heath United States
Donald G. Payan United States
Yoshinori Fukui Japan
Iain D. C. Fraser United States
Richard M. Siegel United States
Esteban Ballestar Spain
Shannon K. McWeeney relative to Peter J. van der Spek Netherlands Peter J. van der Spek's profile →
Citations per field
00.5×1.5×
Peter J. van der Spek · 1×
Citations per year

Countries citing papers authored by Shannon K. McWeeney

Since Specialization
Citations

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

Fields of papers citing papers by Shannon K. McWeeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon K. McWeeney. 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 Shannon K. McWeeney. The network helps show where Shannon K. McWeeney may publish in the future.

Co-authorship network of co-authors of Shannon K. McWeeney

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon K. McWeeney. A scholar is included among the top collaborators of Shannon K. McWeeney 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 Shannon K. McWeeney. Shannon K. McWeeney 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 1
3 25
4 6
5 22
6 6
7 13
8 1
9 18
10 6
11 222
12 103
13 10
14 52
15 26
16 37
17 17
18 41
19 151
20 79

About Shannon K. McWeeney

Shannon K. McWeeney is a scholar working on Hematology, Genetics and Molecular Biology, having authored 202 papers that have together received 7.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (33 papers), Bioinformatics and Genomic Networks (25 papers) and Chronic Myeloid Leukemia Treatments (25 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (779 citations) and Cancer Research (828 citations). Shannon K. McWeeney has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Daniel Bottomly, Gregory S. Yochum, Beth Wilmot, Jeffrey Tyner, Richard H. Goodman, Robert Hitzemann, Brian Druker, Sophia Jeng, Gail Mandel and Robert P. Searles. Their work appears in journals such as New England Journal of Medicine, Cell 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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