Christopher M. Hammell

1.6k citations
26 papers · 1.1k indexed · h-index 15
Topics
Genetics, Aging, and Longevity in Model Organisms (18 papers)RNA Research and Splicing (11 papers)CRISPR and Genetic Engineering (7 papers)

In The Last Decade

Christopher M. Hammell

23 papers receiving 1.1k citations

Peers

Christopher M. Hammell
Comparison fields: 5 of 67
  • Molecular Biology 932
  • Aging 368
  • Cancer Research 231
  • Plant Science 105
  • Endocrine and Autonomic Systems 78
Replace Kiyokazu Morita with:
Kiyokazu Morita Japan
Florian Aeschimann Switzerland
Joshua A. Arribere United States
Aaron M. Kershner United States
Jeb Gaudet Canada
Gabriel D. Hayes United States
Becky Xu Hua Fu United States
Vipin T. Sreedharan Germany
David M. Eisenmann United States
Sudhir Nayak United States
Christopher M. Hammell relative to Kiyokazu Morita Japan Kiyokazu Morita's profile →
Citations per field
00.5×5.3×
Kiyokazu Morita · 1×
Citations per year

Countries citing papers authored by Christopher M. Hammell

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Hammell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher M. Hammell

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Hammell. A scholar is included among the top collaborators of Christopher M. Hammell 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 M. Hammell. Christopher M. Hammell 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 4
3 0
4 13
5 5
6 0
7 36
8 7
9 12
10 17
11 47
12 4
13 30
14 33
15 142
16 33
17 89
18 17
19 86
20 118

About Christopher M. Hammell

Christopher M. Hammell is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (18 papers), RNA Research and Splicing (11 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Aging (368 citations), Cancer Research (231 citations) and Molecular Biology (932 citations). Christopher M. Hammell has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Victor Ambros, Charles N. Cole, Rosalind C. Lee, Catherine V. Heath, Xantha Karp, Claudio A. Saavedra, Peter R. Boag, T. Keith Blackwell, Christine A. Hodge and Ewan F. Dunn. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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