Andrew J. Degnan

3.2k citations
85 papers · 2.2k indexed · 1 hit paper · h-index 23

Andrew J. Degnan

83 papers receiving 2.2k citations

Hit Papers

Longitudinal Analysis of Neural Network Development in Pr...5562010202620152020100200300400500

Peers

Andrew J. Degnan
Comparison fields: 5 of 129
  • Neurology 576
  • Radiology, Nuclear Medicine and Imaging 576
  • Cognitive Neuroscience 462
  • Health Informatics 28
  • Pulmonary and Respiratory Medicine 682
Replace Jae Hyoung Kim with:
Jae Hyoung Kim South Korea
Arnaud J.P.E. Vincent Netherlands
Robert A. Dineen United Kingdom
Tomoyuki Noguchi Japan
Francesca B. Pizzini Italy
Hong Yin China
Nigel Hoggard United Kingdom
Stephen Makin United Kingdom
Mi Ji Lee South Korea
Lotfi Hacein‐Bey United States
Andrew J. Degnan relative to Jae Hyoung Kim South Korea Jae Hyoung Kim's profile →
Citations per field
00.5×1.5×
Jae Hyoung Kim · 1×
Citations per year

Countries citing papers authored by Andrew J. Degnan

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Degnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Degnan. 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 Andrew J. Degnan. The network helps show where Andrew J. Degnan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202138
3 20205
4 201919
5 201961
6 201919
7 201848
8 201842
9 20183
10 20176
11 201715
12 201653
13 20154
14 201528
15 201315
16 201212
17 201159
18 20115
19
Longitudinal Analysis of Neural Network Development in Preterm Infantsbreakdown →
2010556
20 200953

About Andrew J. Degnan

Andrew J. Degnan is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 85 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (20 papers), Acute Ischemic Stroke Management (11 papers), Advanced MRI Techniques and Applications (9 papers), Cardiovascular Health and Disease Prevention (8 papers), Cardiac Imaging and Diagnostics (7 papers), Radiation Dose and Imaging (7 papers), Intracranial Aneurysms: Treatment and Complications (7 papers) and Radiology practices and education (7 papers). The work is most often cited by research in Neurology (576 citations), Radiology, Nuclear Medicine and Imaging (576 citations) and Cognitive Neuroscience (462 citations). Andrew J. Degnan has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Lucien M. Levy, Terrie E. Inder, Jeffrey J. Neil, Jason E. Hill, Joshua S. Shimony, Abraham Z. Snyder, Christopher D. Smyser, Jianping Lu, Chengcheng Zhu and Jonathan H. Gillard. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

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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