Lillian C. Folk

504 citations
10 papers · 397 indexed · h-index 7
Topics
Biomedical Text Mining and Ontologies (3 papers)Muscle Physiology and Disorders (3 papers)Meta-analysis and systematic reviews (1 paper)
Partner nations
United StatesCyprus

In The Last Decade

Lillian C. Folk

10 papers receiving 384 citations

Peers

Lillian C. Folk
Comparison fields: 5 of 81
  • Molecular Biology 289
  • Physiology 83
  • Cell Biology 65
  • Rehabilitation 37
  • Genetics 32
Replace Aliza B. Rubenstein with:
Aliza B. Rubenstein United States
Sean M. Gross United States
Kun Zhu China
Ane Funderud Norway
Zhongliang Liu China
Violeta Stoyanova‐Beninska Netherlands
Peter Schneiderat Germany
Rachel Cohn United States
Jeong‐Sun Seo South Korea
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Lillian C. Folk relative to Aliza B. Rubenstein United States Aliza B. Rubenstein's profile →
Citations per field
00.5×10×
Aliza B. Rubenstein · 1×
Citations per year

Countries citing papers authored by Lillian C. Folk

Since Specialization
Citations

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

Fields of papers citing papers by Lillian C. Folk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lillian C. Folk. 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 Lillian C. Folk. The network helps show where Lillian C. Folk may publish in the future.

Co-authorship network of co-authors of Lillian C. Folk

This figure shows the co-authorship network connecting the top 25 collaborators of Lillian C. Folk. A scholar is included among the top collaborators of Lillian C. Folk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lillian C. Folk. Lillian C. Folk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1
SNOMED CT coding variation and grouping for "other findings" in a longitudinal study on urea cycle disorders.
1
2 2
3 12
4
Evidence-based retrieval in evidence-based medicine.
26
5 64
6 38
7
Gene indexing: characterization and analysis of NLM's GeneRIFs.
106
8 49
9 93
10 6

About Lillian C. Folk

Lillian C. Folk is a scholar working on Aging, History and Philosophy of Science and Speech and Hearing, having authored 10 papers that have together received 397 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Muscle Physiology and Disorders (3 papers) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Aging (12 citations), Rehabilitation (37 citations) and Molecular Biology (289 citations). Lillian C. Folk has collaborated with scholars based in United States and Cyprus. Frequent co-authors include Richard Madsen, Frank W. Booth, J. Scott Pattison, Joyce A. Mitchell, Thomas E. Childs, Alan R. Aronson, Susanne M. Humphrey, James G. Mork, Po Zhao and Scott E. Gordon. Their work appears in journals such as The Journal of Physiology, Journal of Applied Physiology and Physiological Genomics.

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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