Roberto Lin

10 papers receiving 2.3k citations

Roberto Lin's Hit Papers

Cutting Edge: 1,25-Dihydroxyvitamin D3 Is a Direct Inducer of Antimicrobial Peptide Gene Expression 2004 · 1.4k citations
1.4k0+7+14Years since publication4008001.2k

Peers

Roberto Lin
Comparison fields: 5 of 90
  • Pathology and Forensic Medicine 1.2k
  • Microbiology 277
  • Dermatology 91
  • Periodontics 51
  • Immunology 128
Replace Frederick P. Nestel with:
Frederick P. Nestel Canada
Nancy C. Arbour United States
Ulf Forssmann Germany
Chad Crain United States
Abhishek V. Garg United States
Brian W. P. Seymour United States
Thomas Marth Germany
Dennis J. Montoya United States
Pedro L. Vieira Netherlands
Wanda Niedbała United Kingdom
Roberto Lin relative to Frederick P. Nestel Canada Frederick P. Nestel's profile →
Citations per field
00.5×1.5×
Frederick P. Nestel · 1×
Citations per year

Countries citing papers authored by Roberto Lin

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Cutting Edge: 1,25-Dihydroxyvitamin D3 Is a Direct Inducer of Antimicrobial Peptide Gene Expression
Hit paper breakdown →
20041402
2 2003223
3 2003207
4 2002172
5 2001134
6 200291
7 200486
8 200352
9 199733
10 200120

About Roberto Lin

Roberto Lin is a scholar working on Pathology and Forensic Medicine, Microbiology, Molecular Biology, Rheumatology and Oncology, having authored 10 papers that have together received 2.4k indexed citations. Recurring topics across this work include Vitamin D Research Studies (8 papers), Antimicrobial Peptides and Activities (2 papers), Ubiquitin and proteasome pathways (1 paper), Heat shock proteins research (1 paper), Estrogen and related hormone effects (1 paper), Genomics and Chromatin Dynamics (1 paper), Cancer-related Molecular Pathways (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (1.2k citations), Microbiology (277 citations), Dermatology (91 citations), Periodontics (51 citations) and Immunology (128 citations). Roberto Lin has collaborated with scholars based in Canada, Greece and Japan. Frequent co-authors include John H. White, Sylvie Mader, Yoshihiko Nagai, Luz E. Tavera-Mendoza, Véronique Bourdeau, Frederick P. Nestel, Jie Lou Liao, John W. Hanrahan, Qiuyu Wang and Yolande Bastien. Their work appears in journals such as Molecular Endocrinology, The Journal of Immunology, BioEssays, Molecular Cell and Journal of Bone and Mineral 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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