Christopher H. Eskiw

2.2k citations
42 papers · 1.7k indexed · 1 hit paper · h-index 19
Topics
Genomics and Chromatin Dynamics (14 papers)RNA Research and Splicing (13 papers)Retinoids in leukemia and cellular processes (8 papers)

In The Last Decade

Christopher H. Eskiw

38 papers receiving 1.7k citations

Hit Papers

Preferential associations between co-regulated genes reve...20092026201420202009100200300400500

Peers

Christopher H. Eskiw
Comparison fields: 5 of 94
  • Molecular Biology 1.5k
  • Genetics 184
  • Plant Science 182
  • Immunology 122
  • Cancer Research 93
Replace Emmanuelle Guillou with:
Emmanuelle Guillou France
June‐Tai Wu Taiwan
Mariana E. G. de Araújo Austria
Gregory McAllister Switzerland
Jason A. Kahana United States
Brenda Kostelecky United Kingdom
Nicholas T. Crump United Kingdom
S. Ahn South Korea
Henrik Spåhr Sweden
Lars Israel Germany
Christopher H. Eskiw relative to Emmanuelle Guillou France Emmanuelle Guillou's profile →
Citations per field
00.5×1.5×
Emmanuelle Guillou · 1×
Citations per year

Countries citing papers authored by Christopher H. Eskiw

Since Specialization
Citations

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

Fields of papers citing papers by Christopher H. Eskiw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher H. Eskiw

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher H. Eskiw. A scholar is included among the top collaborators of Christopher H. Eskiw 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 H. Eskiw. Christopher H. Eskiw 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 0
3 1
4 1
5 12
6 16
7 21
8 11
9 4
10 8
11 17
12 57
13 29
14 37
15 34
16 8
17 60
18 78
19 48
20 38

About Christopher H. Eskiw

Christopher H. Eskiw is a scholar working on Aging, Geriatrics and Gerontology and Molecular Biology, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (14 papers), RNA Research and Splicing (13 papers) and Retinoids in leukemia and cellular processes (8 papers). The work is most often cited by research in Aging (43 citations), Molecular Biology (1.5k citations) and Structural Biology (13 citations). Christopher H. Eskiw has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include David P. Bazett‐Jones, Graham Dellaire, Peter Fraser, Reagan W. Ching, Stefan Schoenfelder, Jennifer A. Mitchell, Peter R. Cook, David R. F. Carter, Lyubomira Chakalova and David Umlauf. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and PLoS ONE.

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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