John A. Calarco

4.8k citations
39 papers · 3.2k indexed · 2 hit papers · h-index 20
Topics
Genetics, Aging, and Longevity in Model Organisms (22 papers)RNA Research and Splicing (20 papers)RNA modifications and cancer (12 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

John A. Calarco

38 papers receiving 3.1k citations

Hit Papers

Heritable genome editing in C. elegans via a CRISPR-Cas9 ...201020262015202020132010200400600

Peers

John A. Calarco
Comparison fields: 5 of 108
  • Molecular Biology 2.8k
  • Aging 629
  • Genetics 328
  • Cancer Research 253
  • Genetics 193
Replace John Reece-Hoyes with:
John Reece-Hoyes United States
Stephanie E. Mohr United States
Charles E. Vejnar United States
Andrew W. Folkmann United States
Benjamin E. Housden United States
Brett T. Staahl United States
Jonathan Y. Hsu United States
Christopher M. Vockley United States
Yoshitaka Fujihara Japan
Alexandre Paix United States
John A. Calarco relative to John Reece-Hoyes United States John Reece-Hoyes's profile →
Citations per field
00.5×4.8×
John Reece-Hoyes · 1×
Citations per year

Countries citing papers authored by John A. Calarco

Since Specialization
Citations

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

Fields of papers citing papers by John A. Calarco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. Calarco

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Calarco. A scholar is included among the top collaborators of John A. Calarco 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 John A. Calarco. John A. Calarco 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 9
3 6
4 17
5 2
6 11
7 10
8 4
9 20
10 68
11 55
12
Heritable genome editing in C. elegans via a CRISPR-Cas9 systembreakdown →
684
13 299
14 71
15 128
16 172
17 28
18 116
19 102
20 240

About John A. Calarco

John A. Calarco is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology, having authored 39 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (22 papers), RNA Research and Splicing (20 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Aging (629 citations), Molecular Biology (2.8k citations) and Business and International Management (68 citations). John A. Calarco has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Benjamin J. Blencowe, Mónica P. Colaiácovo, Qun Pan, Ari E. Friedland, Yonatan B. Tzur, George M. Church, Kevin M. Esvelt, Xinchen Wang, Brendan J. Frey and Weijun Gao. Their work appears in journals such as Nature, 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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