G.M.A. Lima

644 citations
16 papers · 352 · h-index 10

Impact in

Papers in

    • Biochemical and Molecular Research 6
    • Protein Structure and Dynamics 4
    • RNA and protein synthesis mechanisms 3
    • Ubiquitin and proteasome pathways 1
    • Enzyme Structure and Function 7

G.M.A. Lima

16 papers receiving 347 citations

Peers

G.M.A. Lima
Comparison fields: 5 of 62
  • Infectious Diseases 88
  • Horticulture 5
  • Computational Theory and Mathematics 68
  • Public Health, Environmental and Occupational Health 94
  • Virology 15
Replace Roosevelt Alves da Silva with:
Roosevelt Alves da Silva Brazil
Chandrakala Basavannacharya United Kingdom
Mohammad Mahfuz Ali Khan Shawan Bangladesh
Aarti Krishnan Switzerland
Allan Henrique Depieri Cataneo Brazil
Igor Andrade Santos Brazil
Emmanuel Broni United States
Meng‐Hooi Shu Malaysia
Martina Fojtíková Czechia
Kazuhide Kaneda Japan
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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 201796
2 202149
3 202039
4 201635
5 202033
6 201529
7 201823
8 202112
9 202110
10 20229
11 20155
12 20214
13 20182
14 20252
15 20192
16 20212

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 352 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), Trypanosoma species research and implications (2 papers), Research on Leishmaniasis Studies (2 papers), Parasites and Host Interactions (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Infectious Diseases (88 citations), Horticulture (5 citations), Computational Theory and Mathematics (68 citations), Public Health, Environmental and Occupational Health (94 citations) and Virology (15 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, J. Wollenhaupt, M.S. Weiss, V. Talibov, A. Metz, G. Klebe and A. Heine. Their work appears in journals such as Journal of Visualized Experiments, Acta Crystallographica Section D Structural Biology, Acta Crystallographica Section A Foundations and Advances, Journal of Medicinal Chemistry and Scientific Reports.

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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