Diego Szczupak

947 citations
26 papers · 554 indexed · h-index 11

Diego Szczupak

23 papers receiving 544 citations

Peers

Diego Szczupak
Comparison fields: 5 of 95
  • Developmental Neuroscience 59
  • Cognitive Neuroscience 243
  • Neurology 92
  • Radiology, Nuclear Medicine and Imaging 138
  • Cellular and Molecular Neuroscience 104
Replace Matthijs C. van Eede with:
Matthijs C. van Eede Canada
Marija Markicevic Switzerland
Paweł Kreczmański Netherlands
Kai Boelmans Germany
Artem Khmelinskii Netherlands
J. Svoboda Czechia
Sirisha Pochareddy United States
Danqing Xiao United States
Mark Dubach United States
Virginia García‐Marín Spain
Diego Szczupak relative to Matthijs C. van Eede Canada Matthijs C. van Eede's profile →
Citations per field
00.5×1.7×
Matthijs C. van Eede · 1×
Citations per year

Countries citing papers authored by Diego Szczupak

Since Specialization
Citations

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

Fields of papers citing papers by Diego Szczupak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Szczupak. 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 Diego Szczupak. The network helps show where Diego Szczupak may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20251
4 20250
5 20240
6 20243
7 20232
8 20232
9 20233
10 202221
11 202219
12 20203
13 20208
14 202036
15 202063
16 20182
17 201878
18 201814
19 2013150
20 201212

About Diego Szczupak

Diego Szczupak is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 554 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (15 papers), Functional Brain Connectivity Studies (14 papers), Fetal and Pediatric Neurological Disorders (7 papers), Advanced MRI Techniques and Applications (5 papers), Neonatal and fetal brain pathology (3 papers), Neural dynamics and brain function (2 papers), Dementia and Cognitive Impairment Research (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (59 citations), Cognitive Neuroscience (243 citations) and Neurology (92 citations). Diego Szczupak has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Roberto Lent, Afonso C. Silva, Cirong Liu, Daniel Menezes Guimarães, Cecil Chern‐Chyi Yen, David A. Leopold, Frank Q. Ye, Xiaoguang Tian, Daniel Glen and Danielle Rayêe. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.

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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