Kátia C. Gondim

3.0k citations
73 papers · 1.9k indexed · h-index 28
Topics
Neurobiology and Insect Physiology Research (40 papers)Physiological and biochemical adaptations (16 papers)Trypanosoma species research and implications (16 papers)

In The Last Decade

Kátia C. Gondim

73 papers receiving 1.9k citations

Peers

Kátia C. Gondim
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 783
  • Molecular Biology 773
  • Insect Science 664
  • Epidemiology 424
  • Genetics 335
Replace Haruka Chino with:
Haruka Chino Japan
Mário A.C. Silva-Neto Brazil
Immo A. Hansen United States
Isabela Ramos Brazil
Sarvamangala V. Prasad United States
Karine Lindmo Norway
Fang Zhu United States
Christophe Antoniewski France
Dov Borovsky United States
A.G. de Bianchi Brazil
Kátia C. Gondim relative to Haruka Chino Japan Haruka Chino's profile →
Citations per field
00.5×5.6×
Haruka Chino · 1×
Citations per year

Countries citing papers authored by Kátia C. Gondim

Since Specialization
Citations

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

Fields of papers citing papers by Kátia C. Gondim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kátia C. Gondim. 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 C. Gondim. The network helps show where Kátia C. Gondim may publish in the future.

Co-authorship network of co-authors of Kátia C. Gondim

This figure shows the co-authorship network connecting the top 25 collaborators of Kátia C. Gondim. A scholar is included among the top collaborators of Kátia C. Gondim 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 C. Gondim. Kátia C. Gondim 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 5
3 10
4 27
5 19
6 70
7 53
8 3
9 42
10 20
11 48
12 24
13 13
14 30
15 32
16 12
17 34
18 45
19 41
20 16

About Kátia C. Gondim

Kátia C. Gondim is a scholar working on Cellular and Molecular Neuroscience, Aquatic Science and Insect Science, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (40 papers), Physiological and biochemical adaptations (16 papers) and Trypanosoma species research and implications (16 papers). The work is most often cited by research in Insect Science (664 citations), Cellular and Molecular Neuroscience (783 citations) and Biochemistry (248 citations). Kátia C. Gondim has collaborated with scholars based in Brazil, United States and Denmark. Frequent co-authors include Hatisaburo Masuda, David Majerowicz, Geórgia C. Atella, Michele Alves‐Bezerra, José Roberto Meyer‐Fernandes, Pedro L. Oliveira, Luciano Aparecido Meireles Grillo, Emerson Guedes Pontes, Iron F. De Paula and Michael A. Wells. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

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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2026