Nina de Lacy

790 citations
18 papers · 506 indexed · h-index 10
Topics
Functional Brain Connectivity Studies (9 papers)Advanced Neuroimaging Techniques and Applications (5 papers)Attention Deficit Hyperactivity Disorder (3 papers)
Partner nations
United StatesRussiaChina

In The Last Decade

Nina de Lacy

16 papers receiving 503 citations

Peers

Nina de Lacy
Comparison fields: 5 of 66
  • Cognitive Neuroscience 403
  • Radiology, Nuclear Medicine and Imaging 148
  • Psychiatry and Mental health 88
  • Experimental and Cognitive Psychology 80
  • Genetics 45
Replace Valeria Kebets with:
Valeria Kebets Switzerland
Mariam Zabihi United Kingdom
Zetian Yang China
Maobin Wei China
Yuwen Hung Canada
Hao-Ming Dong China
Dongmei Zhi China
Jiaolong Qin China
Filippo Cieri Italy
Nina de Lacy relative to Valeria Kebets Switzerland Valeria Kebets's profile →
Citations per field
00.5×6.3×
Valeria Kebets · 1×
Citations per year

Countries citing papers authored by Nina de Lacy

Since Specialization
Citations

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

Fields of papers citing papers by Nina de Lacy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina de Lacy. 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 Nina de Lacy. The network helps show where Nina de Lacy may publish in the future.

Co-authorship network of co-authors of Nina de Lacy

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 15
4 5
5 9
6 3
7 21
8 30
9 92
10 8
11 22
12 3
13 13
14 36
15 84
16 83
17 9
18 73

About Nina de Lacy

Nina de Lacy is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 506 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Attention Deficit Hyperactivity Disorder (3 papers). The work is most often cited by research in Cognitive Neuroscience (403 citations), Radiology, Nuclear Medicine and Imaging (148 citations) and Experimental and Cognitive Psychology (80 citations). Nina de Lacy has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Vince D. Calhoun, Bryan H. King, Srinivas Rachakonda, J. Nathan Kutz, Dan Doherty, Elizabeth McCauley, Zening Fu, Jing Sui, Yuhui Du and Xin Di. Their work appears in journals such as NeuroImage, Human Brain Mapping and Journal of Neurotrauma.

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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