Irina M. Conboy

12.0k citations
74 papers · 8.4k indexed · 4 hit papers · h-index 35
Topics
Muscle Physiology and Disorders (23 papers)Tissue Engineering and Regenerative Medicine (15 papers)Genetics, Aging, and Longevity in Model Organisms (15 papers)

In The Last Decade

Irina M. Conboy

71 papers receiving 8.2k citations

Hit Papers

Rejuvenation of aged progenitor cells by exposure to a yo...2002202620102018200520032002201950010001.5k

Peers

Irina M. Conboy
Comparison fields: 5 of 146
  • Molecular Biology 6.2k
  • Physiology 2.1k
  • Surgery 1.6k
  • Genetics 1.4k
  • Aging 1.1k
Replace Michael J. Conboy with:
Michael J. Conboy United States
Andrew S. Brack United States
Brian D. Harfe United States
Shin’ichi Takeda Japan
John McAnally United States
Miranda D. Grounds Australia
Peter S. Zammit United Kingdom
Antonio Musarò Italy
Chen‐Ming Fan United States
Se‐Jin Lee United States
Irina M. Conboy relative to Michael J. Conboy United States Michael J. Conboy's profile →
Citations per field
00.5×1.5×
Michael J. Conboy · 1×
Citations per year

Countries citing papers authored by Irina M. Conboy

Since Specialization
Citations

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

Fields of papers citing papers by Irina M. Conboy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina M. Conboy

This figure shows the co-authorship network connecting the top 25 collaborators of Irina M. Conboy. A scholar is included among the top collaborators of Irina M. Conboy 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 Irina M. Conboy. Irina M. Conboy 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 1
3 0
4 1
5 18
6 7
7 42
8 304
9 187
10 41
11 34
12 14
13 59
14 6
15 39
16 498
17 169
18 330
19 364
20 11

About Irina M. Conboy

Irina M. Conboy is a scholar working on Aging, Genetics and Developmental Neuroscience, having authored 74 papers that have together received 8.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (23 papers), Tissue Engineering and Regenerative Medicine (15 papers) and Genetics, Aging, and Longevity in Model Organisms (15 papers). The work is most often cited by research in Aging (1.1k citations), Genetics (1.4k citations) and Molecular Biology (6.2k citations). Irina M. Conboy has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Thomas A. Rando, Michael J. Conboy, Amy J. Wagers, Irving L. Weissman, Morgan E. Carlson, Gayle M. Smythe, Michael Hsu, Andrew S. Brack, Jeanne Shen and Jaemin Jeong. Their work appears in journals such as Nature, Science and Cell.

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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