Daniela Lamas

2.0k citations
29 papers · 1.1k indexed · 1 hit paper · h-index 16

Daniela Lamas

28 papers receiving 1.1k citations

Hit Papers

Evaluating an Intervention to Improve Communication Betwe...225201920262021202350100150200

Peers

Daniela Lamas
Comparison fields: 5 of 85
  • Radiological and Ultrasound Technology 226
  • Public Health, Environmental and Occupational Health 589
  • Critical Care and Intensive Care Medicine 100
  • General Health Professions 285
  • Health Informatics 14
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Lamas

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Lamas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 202027
3 202014
4 201969
5 20183
6 201870
7 201841
8 201758
9 201725
10 20162
11 201628
12 201652
13 20151
14 20149
15 201454
16 201242
17 201250
18 2011212
19 199727
20
[The aortic arch syndrome. Clinical and aortographic study].
19681

About Daniela Lamas

Daniela Lamas is a scholar working on Radiological and Ultrasound Technology, Critical Care and Intensive Care Medicine, Transplantation, Public Health, Environmental and Occupational Health and General Health Professions, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (12 papers), Family and Patient Care in Intensive Care Units (8 papers), Patient Dignity and Privacy (6 papers), Intensive Care Unit Cognitive Disorders (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Healthcare Policy and Management (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (226 citations), Public Health, Environmental and Occupational Health (589 citations), Critical Care and Intensive Care Medicine (100 citations), General Health Professions (285 citations) and Health Informatics (14 citations). Daniela Lamas has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Lisa Rosenbaum, Susan D. Block, Nisha Philip, Steven M. Kawut, Selim M. Arcasoy, David J. Lederer, Emilia Bagiella, Rachelle Bernacki, Natalie Henrich and Joanna Paladino. Their work appears in journals such as New England Journal of Medicine, Journal of Palliative Medicine, Journal of Pain and Symptom Management, Journal of Clinical Oncology and JAMA Oncology.

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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