Grace Lin

1.4k citations
5 papers · 1.0k · 1 hit paper · h-index 5

Impact in

Papers in

Grace Lin

5 papers receiving 982 citations

Grace Lin's Hit Papers

Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes 2011 · 921 citations
9210+5+10Years since publication250500750

Peers

Grace Lin
Comparison fields: 5 of 59
  • Microbiology 140
  • Small Animals 287
  • Infectious Diseases 550
  • Epidemiology 665
  • Molecular Medicine 60
Replace Sara J. Blosser with:
Sara J. Blosser United States
Armand Mve-Obiang Belgium
Kelley Hurst-Hess United States
Joachim Stephan Germany
Rubén López‐Martínez Mexico
Christina Henderson United States
Fariba Donovan United States
Alayn R. Waldorf United States
Mena Cimino France
Lingbing Zeng China
Grace Lin relative to Sara J. Blosser United States Sara J. Blosser's profile →
Citations per field
00.5×8.6×
Sara J. Blosser · 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 →
2011921
2 201536
3 199917
4 199916
5
Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes [Internet]
201111

About Grace Lin

Grace Lin is a scholar working on Small Animals, Cellular and Molecular Neuroscience, Microbiology, Epidemiology and Infectious Diseases, having authored 5 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (2 papers), Infectious Diseases and Mycology (2 papers), Actinomycetales infections and treatment (2 papers), Hereditary Neurological Disorders (2 papers), Tuberculosis Research and Epidemiology (1 paper), Connexins and lens biology (1 paper), Neurological diseases and metabolism (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Microbiology (140 citations), Small Animals (287 citations), Infectious Diseases (550 citations), Epidemiology (665 citations) and Molecular Medicine (60 citations). Grace Lin has collaborated with scholars based in United States, South Africa and India. Frequent co-authors include Edward Desmond, Salman H. Siddiqi, Gail L. Woods, John C. Ridderhof, Barbara A. Brown‐Elliott, Gaby E. Pfyffer, Frank G. Witebsky, Richard J. Wallace, Patricia S. Conville and Nancy G. Warren. 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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