P.M. Cazita

555 citations
26 papers · 412 indexed · h-index 12
Topics
Cholesterol and Lipid Metabolism (13 papers)Drug Transport and Resistance Mechanisms (8 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)
Partner nations
BrazilChileRussia

In The Last Decade

P.M. Cazita

26 papers receiving 403 citations

Peers

P.M. Cazita
Comparison fields: 5 of 60
  • Surgery 233
  • Endocrinology, Diabetes and Metabolism 144
  • Molecular Biology 123
  • Cancer Research 72
  • Epidemiology 60
Replace D. Recalde with:
D. Recalde Spain
Véronique Touche France
Shunxing Rong United States
Gabriela Suchánková United States
Qianqian Tu China
Hideki Ozasa Japan
Raina M. Rigoli United States
Gabriela Castilho Brazil
Lay T. Gan Australia
Alus M. Xiaoli United States
P.M. Cazita relative to D. Recalde Spain D. Recalde's profile →
Citations per field
00.5×1.5×1.8×
D. Recalde · 1×
Citations per year

Countries citing papers authored by P.M. Cazita

Since Specialization
Citations

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

Fields of papers citing papers by P.M. Cazita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.M. Cazita

This figure shows the co-authorship network connecting the top 25 collaborators of P.M. Cazita. A scholar is included among the top collaborators of P.M. Cazita 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 P.M. Cazita. P.M. Cazita 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 2
2 1
3 1
4 12
5 3
6 3
7 24
8 18
9 4
10 38
11 31
12 2
13 40
14 51
15 31
16 22
17 1
18 10
19 10
20
HDL-cholesteryl ester plasma removal and tissue uptake in CETP transgenic and non-transgenic mice
1

About P.M. Cazita

P.M. Cazita is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Immunology, having authored 26 papers that have together received 412 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (13 papers), Drug Transport and Resistance Mechanisms (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (144 citations), Surgery (233 citations) and Cancer Research (72 citations). P.M. Cazita has collaborated with scholars based in Brazil, Chile and Russia. Frequent co-authors include E.C.R. Quintão, V.S. Nunes, E.R. Nakandakare, Francisco García Soriano, Helena C.F. Oliveira, Ana Iochabel Soares Moretti, Magnus Gidlund, Denise Frediani Barbeiro, Eliana Cotta de Faria and Sérgio Catanozi. Their work appears in journals such as Journal of Lipid Research, Frontiers in Immunology and Life Sciences.

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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