Charles E. Nolan

2.2k citations
30 papers · 1.1k indexed · h-index 17

Charles E. Nolan

27 papers receiving 1.1k citations

Peers

Charles E. Nolan
Comparison fields: 5 of 92
  • Developmental Neuroscience 143
  • Transplantation 69
  • Critical Care and Intensive Care Medicine 106
  • Physiology 436
  • Pharmacology 187
Replace James J. Vornov with:
James J. Vornov United States
Alfredo Giménez-Cassina Spain
Robert Chott United States
Masafumi Fujimoto Japan
Michael J. Forrest United States
Kenneth Banasiak United States
Stéphane Schaak France
Hervé Paris France
Hou Yan-ning China
Mary Lou Previti United States
Charles E. Nolan relative to James J. Vornov United States James J. Vornov's profile →
Citations per field
00.5×20×40×69×
James J. Vornov · 1×
Citations per year

Countries citing papers authored by Charles E. Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Charles E. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20186
2 201815
3 201659
4 201310
5 201218
6 201224
7 201244
8 201119
9 201039
10 200811
11 2007312
12 200414
13 199915
14 199770
15 199313
16 199214
17 199210
18 199110
19 199031
20 197670

About Charles E. Nolan

Charles E. Nolan is a scholar working on Developmental Neuroscience, Physiology and Transplantation, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Drug Transport and Resistance Mechanisms (6 papers), Computational Drug Discovery Methods (5 papers), Nitric Oxide and Endothelin Effects (3 papers), RNA regulation and disease (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Developmental Neuroscience (143 citations), Transplantation (69 citations) and Critical Care and Intensive Care Medicine (106 citations). Charles E. Nolan has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Firoze B. Jungalwala, K. H. Chou, James E. Finley, K. Richter, Joel B. Schachter, Lit‐Fui Lau, Robert B. Nelson, Li Liu, Lili Wang and Mathieu Herman. Their work appears in journals such as Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters and Alzheimer s & Dementia.

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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