Grace Lin

1.4k citations
5 papers · 996 · 1 hit paper · h-index 5

Impact in

Papers in

Grace Lin

5 papers receiving 977 citations

Hit Papers

Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes 2011 · 917 citations
9170+5+10Years since publication250500750

Peers

Grace Lin
Comparison fields: 5 of 61
  • Microbiology 150
  • Small Animals 379
  • Infectious Diseases 644
  • Epidemiology 764
  • Molecular Medicine 84
Replace Armand Mve-Obiang with:
Armand Mve-Obiang United States
Derek Law United States
Sara J. Blosser United States
Kelley Hurst-Hess United States
Joachim Stephan Germany
Rubén López‐Martínez Mexico
Alessandra Bua Italy
Christina Henderson United States
Karen Spadari Ferreira Brazil
Lingbing Zeng China
Grace Lin relative to Armand Mve-Obiang United States Armand Mve-Obiang's profile →
Citations per field
00.5×10×20×30×37.5×
Armand Mve-Obiang · 1×
Citations per year

Countries citing papers authored by Grace Lin

Since Specialization
Citations

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

Fields of papers citing papers by Grace Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes
Hit paper breakdown →
2011917
2 201536
3 199917
4 199916
5
Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes [Internet]
201110

About Grace Lin

Grace Lin is a scholar working on Epidemiology, Small Animals, Cellular and Molecular Neuroscience, Microbiology and Infectious Diseases, having authored 5 papers that have together received 996 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (2 papers), Infectious Diseases and Mycology (2 papers), Actinomycetales infections and treatment (2 papers), Mycobacterium research and diagnosis (2 papers), Neurological diseases and metabolism (1 paper), Connexins and lens biology (1 paper), Calpain Protease Function and Regulation (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Microbiology (150 citations), Small Animals (379 citations), Infectious Diseases (644 citations), Epidemiology (764 citations) and Molecular Medicine (84 citations). Grace Lin has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Edward Desmond, Barbara A. Brown‐Elliott, Richard J. Wallace, Frank G. Witebsky, Salman H. Siddiqi, Gaby E. Pfyffer, Patricia S. Conville, Nancy G. Warren, John C. Ridderhof and Gail L. Woods. Their work appears in journals such as Annals of the New York Academy of Sciences and PLoS ONE.

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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