Kátia L.P. Morais

460 citations
27 papers · 352 indexed · h-index 13
Topics
Venomous Animal Envenomation and Studies (4 papers)Ubiquitin and proteasome pathways (4 papers)Trypanosoma species research and implications (4 papers)
Partner nations
BrazilFranceAustralia

In The Last Decade

Kátia L.P. Morais

24 papers receiving 350 citations

Peers

Kátia L.P. Morais
Comparison fields: 5 of 66
  • Molecular Biology 156
  • Genetics 86
  • Parasitology 62
  • Insect Science 57
  • Immunology 52
Replace Tobias Kockmann with:
Tobias Kockmann Switzerland
Sven M. Lange United Kingdom
Zhengrong Hao United States
Matheus Oliveira Brazil
Nan-Chi A. Chang Taiwan
Anne‐Claire Jacomin United Kingdom
Rebecca Begley United States
Karen Coughlan Ireland
Marisa J. Wainszelbaum United States
Miryam Paola Alvarez‐Flores Brazil
Kátia L.P. Morais relative to Tobias Kockmann Switzerland Tobias Kockmann's profile →
Citations per field
00.5×3.6×
Tobias Kockmann · 1×
Citations per year

Countries citing papers authored by Kátia L.P. Morais

Since Specialization
Citations

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

Fields of papers citing papers by Kátia L.P. Morais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kátia L.P. Morais. 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 Kátia L.P. Morais. The network helps show where Kátia L.P. Morais may publish in the future.

Co-authorship network of co-authors of Kátia L.P. Morais

This figure shows the co-authorship network connecting the top 25 collaborators of Kátia L.P. Morais. A scholar is included among the top collaborators of Kátia L.P. Morais 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 Kátia L.P. Morais. Kátia L.P. Morais 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 1
2 0
3 0
4 10
5 3
6 0
7 2
8 6
9 11
10 15
11 17
12 11
13 20
14 16
15 30
16 32
17 20
18 7
19 28
20 22

About Kátia L.P. Morais

Kátia L.P. Morais is a scholar working on Cell Biology, Parasitology and Geriatrics and Gerontology, having authored 27 papers that have together received 352 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (4 papers), Ubiquitin and proteasome pathways (4 papers) and Trypanosoma species research and implications (4 papers). The work is most often cited by research in Parasitology (62 citations), Insect Science (57 citations) and Microbiology (22 citations). Kátia L.P. Morais has collaborated with scholars based in Brazil, France and Australia. Frequent co-authors include Ana Marisa Chudzinski‐Tavassi, Henning Ulrich, Claudiana Lameu, Carolina Maria Berra, Ivo Lebrun, Antônio Carlos Martins de Camargo, Juliano R. Guerreiro, Roger Chammas, Mirian A.F. Hayashi and Asif Iqbal. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE 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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