Magno Junqueira

47 papers receiving 1.5k citations

Peers

Magno Junqueira
Comparison fields: 5 of 101
  • Cell Biology 356
  • Virology 102
  • Microbiology 97
  • Molecular Biology 990
  • Spectroscopy 170
Replace José Cesar Rosa with:
José Cesar Rosa Brazil
Marcelo Valle de Sousa Brazil
Mirita Franz‐Wachtel Germany
Richard H. Valente Brazil
Magnús Halldór Gíslason Denmark
Brian S. Imai United States
Barbara Eckert Germany
Toni Wyler Switzerland
Dhiraj Kumar India
Giuseppe Nicastro Italy
Magno Junqueira relative to José Cesar Rosa Brazil José Cesar Rosa's profile →
Citations per field
00.5×3.2×
José Cesar Rosa · 1×
Citations per year

Countries citing papers authored by Magno Junqueira

Since Specialization
Citations

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

Fields of papers citing papers by Magno Junqueira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008135
2 2009101
3 201387
4 201277
5 200976
6 200972
7 200870
8 201163
9
Differential proteomic serum pattern of low molecular weight proteins expressed by adenocarcinoma lung cancer patients.
200557
10 200955
11 201655
12 201146
13 201744
14 201841
15 200738
16 200937
17 200735
18 201934
19 201433
20
Effect of silicon on the morphology of the midgut and mandible of tomato leafminer Tuta absoluta (Lepidoptera: Gelechiidae) larvae
201531

About Magno Junqueira

Magno Junqueira is a scholar working on Molecular Biology, Spectroscopy, Genetics, Biomedical Engineering and Cell Biology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), Venomous Animal Envenomation and Studies (6 papers), Biochemical and Structural Characterization (5 papers), Insect symbiosis and bacterial influences (4 papers), Microtubule and mitosis dynamics (4 papers), Rabies epidemiology and control (4 papers), Biofuel production and bioconversion (4 papers) and Insect Resistance and Genetics (4 papers). The work is most often cited by research in Cell Biology (356 citations), Virology (102 citations), Microbiology (97 citations), Molecular Biology (990 citations) and Spectroscopy (170 citations). Magno Junqueira has collaborated with scholars based in Brazil, Germany and United States. Frequent co-authors include Andrej Shevchenko, Gilberto B. Domont, Fábio César Sousa Nogueira, Tiago Santana Balbuena, Paulo C. Carvalho, Livia Goto‐Silva, Cristina‐Maria Vâlcu, Richard H. Valente, Anthony A. Hyman and Joao Matos. Their work appears in journals such as Journal of Proteome Research, Journal of Proteomics, PROTEOMICS, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and BioEnergy Research.

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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