D. E. Rannels

3.5k citations
111 papers · 2.9k indexed · h-index 31

D. E. Rannels

110 papers receiving 2.7k citations

Peers

D. E. Rannels
Comparison fields: 5 of 110
  • Cell Biology 730
  • Pulmonary and Respiratory Medicine 922
  • Endocrine and Autonomic Systems 187
  • Biochemistry 160
  • Clinical Biochemistry 138
Replace Heather Francis with:
Heather Francis United States
Takayuki Shindo Japan
Shoichi Iseki Japan
Jaroslaw W. Zmijewski United States
Kit‐Yi Leung United Kingdom
Satoshi Ishii Japan
Jani Lappalainen Finland
Motonao Nakamura Japan
Lily Dong United States
Egle Solito United Kingdom
D. E. Rannels relative to Heather Francis United States Heather Francis's profile →
Citations per field
00.5×2.8×
Heather Francis · 1×
Citations per year

Countries citing papers authored by D. E. Rannels

Since Specialization
Citations

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

Fields of papers citing papers by D. E. Rannels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. E. Rannels. 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 D. E. Rannels. The network helps show where D. E. Rannels may publish in the future.

Co-authorship network

The 25 scholars most cited alongside D. E. Rannels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. E. Rannels Line = papers co-authored together D. E. Rannels links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200334
2 20026
3 20013
4 200145
5 19999
6 19984
7 19987
8 19961
9 199124
10 19916
11 19906
12 199034
13 19892
14 198933
15 198928
16 198869
17 19874
18 198327
19 197929
20 197517

About D. E. Rannels

D. E. Rannels is a scholar working on Endocrine and Autonomic Systems, Cell Biology and Pulmonary and Respiratory Medicine, having authored 111 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (34 papers), Muscle metabolism and nutrition (15 papers), Inhalation and Respiratory Drug Delivery (13 papers), Neuroscience of respiration and sleep (12 papers), Polyamine Metabolism and Applications (12 papers), Proteoglycans and glycosaminoglycans research (8 papers), Connexins and lens biology (8 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Cell Biology (730 citations), Pulmonary and Respiratory Medicine (922 citations) and Endocrine and Autonomic Systems (187 citations). D. E. Rannels has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include S. R. Rannels, Howard E. Morgan, Sarah E. Dunsmore, Race L. Kao, Leonard S. Jefferson, Anthony E. Pegg, Joseph Y. Cheung, Edward E. McKee, Å Hjalmarson and E Wolpert. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, American Journal of Physiology-Endocrinology and Metabolism, American Journal of Physiology-Cell Physiology, CHEST Journal and Journal of Biological Chemistry.

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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