Marisa Dolhnikoff

10.5k citations
167 papers · 5.8k indexed · h-index 45

Marisa Dolhnikoff

162 papers receiving 5.7k citations

Peers

Marisa Dolhnikoff
Comparison fields: 5 of 170
  • Pulmonary and Respiratory Medicine 2.2k
  • Physiology 1.5k
  • Infectious Diseases 821
  • Health, Toxicology and Mutagenesis 795
  • Epidemiology 609
Replace Thaís Mauad with:
Thaís Mauad Brazil
Luiz Fernando Ferraz da Silva Brazil
Satish Mehta United States
Francisco Gudé Spain
Takeshi Fujii Japan
Renato T. Stein Brazil
Peter Coyle United Kingdom
Shelley Gorman United Kingdom
Ruben Pauwels Belgium
Hiromasa Inoue Japan
Marisa Dolhnikoff relative to Thaís Mauad Brazil Thaís Mauad's profile →
Citations per field
00.5×1.5×
Thaís Mauad · 1×
Citations per year

Countries citing papers authored by Marisa Dolhnikoff

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Dolhnikoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisa Dolhnikoff

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 5
5 2
6 11
7 22
8 22
9 154
10 33
11 30
12 2
13 1
14 3
15 178
16 90
17 90
18 49
19
The lower inflection point of the static PxV curve (Pflex), may not predict "complete alveolar opening" in normal lungs
3
20
Respiratory failure due to alveolar hemorrhage: diagnostic troubles and the impact of a new ventilatory strategy
2

About Marisa Dolhnikoff

Marisa Dolhnikoff is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Infectious Diseases, having authored 167 papers that have together received 5.8k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (39 papers), Respiratory Support and Mechanisms (28 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (21 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.2k citations), Health, Toxicology and Mutagenesis (795 citations) and Physiology (1.5k citations). Marisa Dolhnikoff has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Thaís Mauad, Paulo Hilário Nascimento Saldiva, Luiz Fernando Ferraz da Silva, Élia Garcia Caldini, Mílton A. Martins, Mariana Matera Veras, Amaro Nunes Duarte‐Neto, Rodolfo P. Vieira, Mara S. Ludwig and Nilsa Regina Damaceno‐Rodrigues. Their work appears in journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Clinical Infectious Diseases.

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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