Roberto D. Lins

81 papers receiving 3.1k citations

Peers

Roberto D. Lins
Comparison fields: 5 of 138
  • Virology 139
  • Molecular Medicine 143
  • Molecular Biology 1.7k
  • Biomaterials 305
  • Infectious Diseases 296
Replace Alexey Kikhney with:
Alexey Kikhney Germany
Cy M. Jeffries Germany
M. Chruszcz United States
Lee Whitmore United Kingdom
Christine Ebel France
Frank Wien France
Narasimha Sreerama United States
Trushar R. Patel Canada
Xian‐En Zhang China
César A. López United States
Roberto D. Lins relative to Alexey Kikhney Germany Alexey Kikhney's profile →
Citations per field
00.5×1.6×
Alexey Kikhney · 1×
Citations per year

Countries citing papers authored by Roberto D. Lins

Since Specialization
Citations

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

Fields of papers citing papers by Roberto D. Lins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto D. Lins. 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 Roberto D. Lins. The network helps show where Roberto D. Lins may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005272
2 2004218
3 2000218
4 2003177
5 2004162
6 2005157
7 2008146
8 2012129
9 2011107
10 200599
11 200193
12 201290
13 200881
14 201773
15 201168
16 199967
17 201760
18 201848
19 201246
20 200443

About Roberto D. Lins

Roberto D. Lins is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Virology and Materials Chemistry, having authored 86 papers that have together received 3.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (19 papers), HIV Research and Treatment (12 papers), Mosquito-borne diseases and control (10 papers), Enzyme Structure and Function (9 papers), Glycosylation and Glycoproteins Research (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), HIV/AIDS drug development and treatment (6 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Virology (139 citations), Molecular Medicine (143 citations), Molecular Biology (1.7k citations), Biomaterials (305 citations) and Infectious Diseases (296 citations). Roberto D. Lins has collaborated with scholars based in Brazil, United States and Switzerland. Frequent co-authors include Philippe H. Hünenberger, Tjerk P. Straatsma, Thereza A. Soares, Cristina Silva Pereira, Luiz Carlos Gomide Freitas, Eduardo de Faria Franca, Laércio Pol Fachin, James M. Briggs, Victor H. Rusu and Indira Chandrasekhar. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Chemical Information and Modeling, Biopolymers, Journal of Computational Chemistry and The Journal of Physical Chemistry B.

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.

Explore authors with similar magnitude of impact