Daniel R. Jakaitis

581 citations
11 papers · 463 indexed · h-index 7
Topics
Adipose Tissue and Metabolism (3 papers)Lanthanide and Transition Metal Complexes (2 papers)Aortic Disease and Treatment Approaches (2 papers)
Journals
SHILAP Revista de lepidopterologíaCell MetabolismRadiology

In The Last Decade

Daniel R. Jakaitis

11 papers receiving 459 citations

Peers

Daniel R. Jakaitis
Comparison fields: 5 of 74
  • Physiology 268
  • Molecular Biology 196
  • Cell Biology 79
  • Epidemiology 66
  • Nutrition and Dietetics 48
Replace Giuseppe Sirago with:
Giuseppe Sirago Italy
Camille R. Brightwell United States
Arkan Abadi Canada
Annabelle Z. Caron Canada
Luís Gustavo Oliveira de Sousa Brazil
Rainer Ng United States
Cara A. Timpani Australia
Marion Pauly Canada
Entela Bua United States
Jonathan J. Petrocelli United States
Daniel R. Jakaitis relative to Giuseppe Sirago Italy Giuseppe Sirago's profile →
Citations per field
00.5×6.8×
Giuseppe Sirago · 1×
Citations per year

Countries citing papers authored by Daniel R. Jakaitis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Jakaitis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Jakaitis. 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 Daniel R. Jakaitis. The network helps show where Daniel R. Jakaitis may publish in the future.

Co-authorship network of co-authors of Daniel R. Jakaitis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Jakaitis. A scholar is included among the top collaborators of Daniel R. Jakaitis 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 Daniel R. Jakaitis. Daniel R. Jakaitis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 5
2 22
3 9
4 2
5 5
6 5
7 35
8 66
9 24
10 110
11 180

About Daniel R. Jakaitis

Daniel R. Jakaitis is a scholar working on Aging, Internal Medicine and Neurology, having authored 11 papers that have together received 463 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Lanthanide and Transition Metal Complexes (2 papers) and Aortic Disease and Treatment Approaches (2 papers). The work is most often cited by research in Aging (41 citations), Physiology (268 citations) and Geriatrics and Gerontology (33 citations). Daniel R. Jakaitis has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include K. Sreekumaran Nair, Jill M. Schimke, Ian R. Lanza, Matthew L. Johnson, Katherine A. Klaus, H. Robert Bergen, Dawn M. Morse, Surendra Dasari, Matthew M. Robinson and Carrie J. Heppelmann. Their work appears in journals such as SHILAP Revista de lepidopterología, Cell Metabolism and Radiology.

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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