Daniela M. Sousa

1.2k citations
33 papers · 872 · h-index 17

Impact in

Papers in

Daniela M. Sousa

32 papers receiving 865 citations

Peers

Daniela M. Sousa
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 238
  • Developmental Neuroscience 32
  • Endocrine and Autonomic Systems 41
  • Biomedical Engineering 285
  • Psychiatry and Mental health 85
Replace Estrela Neto with:
Estrela Neto Portugal
Shinji Imai Japan
Jun Hino Japan
Jiefei Shen China
Madhu Dhar United States
Hengxing Zhou China
David E. Komatsu United States
Renliang Zhao China
Sadahiro Iwabuchi Japan
Daniela M. Sousa relative to Estrela Neto Portugal Estrela Neto's profile →
Citations per field
00.5×3.4×
Estrela Neto · 1×
Citations per year

Countries citing papers authored by Daniela M. Sousa

Since Specialization
Citations

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

Fields of papers citing papers by Daniela M. Sousa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela M. Sousa. 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 Daniela M. Sousa. The network helps show where Daniela M. Sousa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201695
2 201574
3 200964
4 201758
5 202251
6 201250
7 201449
8 202142
9 201638
10 201537
11 202033
12 201330
13 202027
14 202022
15 200921
16 201621
17 201619
18 202216
19 201615
20 200714

About Daniela M. Sousa

Daniela M. Sousa is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Biomedical Engineering, Oncology and Surgery, having authored 33 papers that have together received 872 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Cancer, Stress, Anesthesia, and Immune Response (8 papers), Bone health and treatments (3 papers), Regulation of Appetite and Obesity (3 papers), Bone Tissue Engineering Materials (3 papers), Axon Guidance and Neuronal Signaling (3 papers), 3D Printing in Biomedical Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (238 citations), Developmental Neuroscience (32 citations), Endocrine and Autonomic Systems (41 citations), Biomedical Engineering (285 citations) and Psychiatry and Mental health (85 citations). Daniela M. Sousa has collaborated with scholars based in Portugal, Australia and United States. Frequent co-authors include Meriem Lamghari, Estrela Neto, Cecília J. Alves, Francisco Conceição, Luís Leitão, Inês S. Alencastre, Herbert Herzog, Paulo Aguiar, Joana Paredes and J. Agostinho Moreira. Their work appears in journals such as The FASEB Journal, Scientific Reports, PLoS ONE, Bone Research and Current Drug Targets.

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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