Christopher A. Maher

22.0k total citations · 4 hit papers
87 papers, 7.5k citations indexed

About

Christopher A. Maher is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Christopher A. Maher has authored 87 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 49 papers in Cancer Research and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Christopher A. Maher's work include Cancer-related molecular mechanisms research (26 papers), RNA modifications and cancer (21 papers) and Cancer Genomics and Diagnostics (17 papers). Christopher A. Maher is often cited by papers focused on Cancer-related molecular mechanisms research (26 papers), RNA modifications and cancer (21 papers) and Cancer Genomics and Diagnostics (17 papers). Christopher A. Maher collaborates with scholars based in United States, Canada and Switzerland. Christopher A. Maher's co-authors include Arul M. Chinnaiyan, Nallasivam Palanisamy, Xuhong Cao, Ha X. Dang, Xiaojun Jing, Doreen Ware, Arul M. Chinnaiyan, Chandan Kumar‐Sinha, Bo Han and Matthew K. Iyer and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Christopher A. Maher

85 papers receiving 7.4k citations

Hit Papers

Genomic Loss of microRNA-101 Leads to Overexpression of H... 2008 2026 2014 2020 2008 2011 2009 2021 250 500 750

Peers

Christopher A. Maher
Comparison fields: 5 of 143
  • Molecular Biology 5.5k
  • Cancer Research 3.8k
  • Pulmonary and Respiratory Medicine 944
  • Oncology 922
  • Plant Science 912
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Citations per field, relative to Christopher A. Maher
Christopher A. Maher · 1×
Citations per year, relative to Christopher A. Maher
Christopher A. Maher · 1×

Countries citing papers authored by Christopher A. Maher

Since Specialization
Citations

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

Fields of papers citing papers by Christopher A. Maher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher A. Maher. 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 Christopher A. Maher. The network helps show where Christopher A. Maher may publish in the future.

Co-authorship network of co-authors of Christopher A. Maher

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher A. Maher. A scholar is included among the top collaborators of Christopher A. Maher 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 Christopher A. Maher. Christopher A. Maher 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 2
2 2
3 2
4 4
5 3
6 1
7 2
8 18
9 1
10 6
11 7
12 9
13
Long noncoding RNAs in cancer metastasis breakdown →
441
14 62
15 16
16 16
17 2
18 34
19
Genomic Loss of microRNA-101 Leads to Overexpression of Histone Methyltransferase EZH2 in Cancer breakdown →
833
20
Multi-resident AFS: an adventure in mass storage
2

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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