G.M.A. Lima

631 citations
16 papers · 334 · h-index 10

Impact in

Papers in

    • Biochemical and Molecular Research 6
    • Protein Structure and Dynamics 4
    • RNA and protein synthesis mechanisms 3
    • Enzyme Structure and Function 7

G.M.A. Lima

16 papers receiving 329 citations

Peers

G.M.A. Lima
Comparison fields: 5 of 59
  • Horticulture 5
  • Infectious Diseases 88
  • Computational Theory and Mathematics 70
  • Public Health, Environmental and Occupational Health 93
  • Virology 14
Replace Roosevelt Alves da Silva with:
Roosevelt Alves da Silva Brazil
Md Fulbabu Sk India
Santanu Sasidharan India
Chandrakala Basavannacharya United Kingdom
L. Shuvalova United States
Mohammad Mahfuz Ali Khan Shawan Bangladesh
J. L. Kiappes United Kingdom
Allan Henrique Depieri Cataneo Brazil
Aarti Krishnan Switzerland
Rodrigo Ochoa Colombia
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Citations per field
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Citations per year

Countries citing papers authored by G.M.A. Lima

Since Specialization
Citations

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

Fields of papers citing papers by G.M.A. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.M.A. Lima. 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 G.M.A. Lima. The network helps show where G.M.A. Lima may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201791
2 202144
3 201635
4 202035
5 202031
6 201529
7 201822
8 202112
9 202110
10 20229
11 20154
12 20214
13 20252
14 20182
15 20212
16 20192

About G.M.A. Lima

G.M.A. Lima is a scholar working on Molecular Biology, Materials Chemistry, Public Health, Environmental and Occupational Health, Ecology and Epidemiology, having authored 16 papers that have together received 334 indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Biochemical and Molecular Research (6 papers), Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (3 papers), Research on Leishmaniasis Studies (2 papers), Trypanosoma species research and implications (2 papers), HIV Research and Treatment (1 paper) and Advanced X-ray Imaging Techniques (1 paper). The work is most often cited by research in Horticulture (5 citations), Infectious Diseases (88 citations), Computational Theory and Mathematics (70 citations), Public Health, Environmental and Occupational Health (93 citations) and Virology (14 citations). G.M.A. Lima has collaborated with scholars based in Sweden, Brazil and Germany. Frequent co-authors include Rafael V. C. Guido, Glaucius Oliva, André S. Godoy, U. Müeller, M.S. Weiss, J. Wollenhaupt, V. Talibov, G. Klebe, A. Metz and Fernanda de Freitas Aníbal. Their work appears in journals such as Acta Crystallographica Section D Structural Biology, Journal of Visualized Experiments, Scientific Reports, BMC Genomics and Nature Communications.

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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