Frank C. Dorsey

10.2k citations
39 papers · 4.6k indexed · 3 hit papers · h-index 20

Frank C. Dorsey

38 papers receiving 4.5k citations

Hit Papers

Toll-like receptor signalling in macr...1.1k19832026199720112505007501000

Peers

Frank C. Dorsey
Comparison fields: 5 of 128
  • Physiology 310
  • Epidemiology 2.1k
  • Neurology 891
  • Geriatrics and Gerontology 119
  • Immunology 635
Replace Roberta Nardacci with:
Roberta Nardacci Italy
Bénédicte F. Py France
Akiko Kuma Japan
Zhongju Zou United States
You‐Wen He United States
Fernando Macián United States
Thomas Schaffner Switzerland
Shanya Jiang United States
Yuchen Feng China
Tomohiko Murakami Japan
Frank C. Dorsey relative to Roberta Nardacci Italy Roberta Nardacci's profile →
Citations per field
00.5×1.5×2.0×
Roberta Nardacci · 1×
Citations per year

Countries citing papers authored by Frank C. Dorsey

Since Specialization
Citations

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

Fields of papers citing papers by Frank C. Dorsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank C. Dorsey. 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 Frank C. Dorsey. The network helps show where Frank C. Dorsey may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Frank C. Dorsey, 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 Frank C. Dorsey Line = papers co-authored together Frank C. Dorsey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20229
2 201928
3 2011291
4 2011186
5 201162
6 201031
7 20096
8 2009187
9 200781
10 2007226
11
Toll-like receptor signalling in macrophages links the autophagy pathway to phagocytosisbreakdown →
20071069
12 20028
13 199611
14 199462
15 199343
16 199222
17 199120
18
GM1 gangliosides in the treatment of spinal cord injury: report of preliminary data analysis.
199013
19 19873
20 197094

About Frank C. Dorsey

Frank C. Dorsey is a scholar working on Biological Psychiatry, Geriatrics and Gerontology and Cell Biology, having authored 39 papers that have together received 4.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Cerebral Palsy and Movement Disorders (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Mitochondrial Function and Pathology (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Neonatal and fetal brain pathology (3 papers), Cellular transport and secretion (3 papers) and Spinal Cord Injury Research (3 papers). The work is most often cited by research in Physiology (310 citations), Epidemiology (2.1k citations) and Neurology (891 citations). Frank C. Dorsey has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include John L. Cleveland, Fred H. Geisler, William P. Coleman, Douglas R. Green, Simon Moshiach, Paul A. Ney, Kirsteen H. Maclean, Masaaki Komatsu, Christopher P. Dillon and Miguel A. F. Sanjuán. Their work appears in journals such as Journal of Cell Science, Cancer Research, Blood, Neurosurgery and Journal of Clinical Investigation.

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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