David L. Lin

938 citations
15 papers · 665 · h-index 15

Impact in

Papers in

    • Viral Infections and Vectors 4
    • Tuberculosis Research and Epidemiology 2
    • Glycosylation and Glycoproteins Research 2
    • Studies on Chitinases and Chitosanases 1

David L. Lin

15 papers receiving 657 citations

Peers

David L. Lin
Comparison fields: 5 of 78
  • Molecular Medicine 163
  • Endocrinology 74
  • Infectious Diseases 233
  • Public Health, Environmental and Occupational Health 221
  • Microbiology 26
Replace Thomas Bruderer with:
Thomas Bruderer Switzerland
Shao-Hung Wang Taiwan
Junmin Zhu China
Heidi Contreras United States
Mitali Sarkar‐Tyson United Kingdom
Nathan Hicks United States
Max R. Schroeder United States
Chengsong Wan China
David M. Arana Spain
Armando R. Caballero United States
David L. Lin relative to Thomas Bruderer Switzerland Thomas Bruderer's profile →
Citations per field
00.5×
Thomas Bruderer · 1×
Citations per year

Countries citing papers authored by David L. Lin

Since Specialization
Citations

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

Fields of papers citing papers by David L. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014171
2 201966
3 201663
4 201755
5 201753
6 201949
7 201438
8 202136
9 201530
10 201322
11 202018
12 201517
13 201617
14 201815
15 200415

About David L. Lin

David L. Lin is a scholar working on Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health, Molecular Medicine and Oncology, having authored 15 papers that have together received 665 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (6 papers), Antibiotic Resistance in Bacteria (5 papers), Viral Infections and Vectors (4 papers), Glycosylation and Glycoproteins Research (2 papers), Tuberculosis Research and Epidemiology (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Escherichia coli research studies (2 papers) and Studies on Chitinases and Chitosanases (1 paper). The work is most often cited by research in Molecular Medicine (163 citations), Endocrinology (74 citations), Infectious Diseases (233 citations), Public Health, Environmental and Occupational Health (221 citations) and Microbiology (26 citations). David L. Lin has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Marcelo E. Tolmasky, Tung Tran, María Soledad Ramirez, Germán M. Traglia, Andrew W. Tai, Billy Tsai, Aaron Y. Chang, Takamasa Inoue, Steven R. Herron and Ravi Jain. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, PLoS neglected tropical diseases, Nature Communications, Journal of Virology and Science Immunology.

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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