Francis C. Lees

453 total citations
17 papers, 318 citations indexed

About

Francis C. Lees is a scholar working on Genetics, Health and Dermatology. According to data from OpenAlex, Francis C. Lees has authored 17 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Health and 3 papers in Dermatology. Recurrent topics in Francis C. Lees's work include Genetic and phenotypic traits in livestock (4 papers), Skin Protection and Aging (3 papers) and Birth, Development, and Health (3 papers). Francis C. Lees is often cited by papers focused on Genetic and phenotypic traits in livestock (4 papers), Skin Protection and Aging (3 papers) and Birth, Development, and Health (3 papers). Francis C. Lees collaborates with scholars based in United States. Francis C. Lees's co-authors include John H. Relethford, Pamela J. Byard, Michael H. Crawford, Webster C. Leyshon, K. Brown, Suzannah Bliss Tieman and Helmut V. B. Hirsch and has published in prestigious journals such as Brain Research, American Journal of Physical Anthropology and Current Anthropology.

In The Last Decade

Francis C. Lees

17 papers receiving 289 citations

Peers

Francis C. Lees
Comparison fields: 5 of 72
  • Genetics 133
  • Archeology 77
  • Dermatology 43
  • Cell Biology 30
  • Anthropology 29
Replace Meghan Elisabeth Healy with:
Meghan Elisabeth Healy United States
Webster C. Leyshon United States
Jean Hiernaux France
Virgínia Ramallo Argentina
Kenneth A. Korey United States
Miguel Delgado Argentina
Jamshed Mavalwala Canada
Irena Martinović Klarić Croatia
James A. Fox United Kingdom
Cris E. Hughes United States
Meghan Elisabeth Healy United States View profile →
Citations per field, relative to Francis C. Lees
Francis C. Lees · 1×
Citations per year, relative to Francis C. Lees
Francis C. Lees · 1×

Countries citing papers authored by Francis C. Lees

Since Specialization
Citations

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

Fields of papers citing papers by Francis C. Lees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis C. Lees

This figure shows the co-authorship network connecting the top 25 collaborators of Francis C. Lees. A scholar is included among the top collaborators of Francis C. Lees 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 Francis C. Lees. Francis C. Lees is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 6
2 3
3
Correlation analysis of distance measures based on geography, anthropometry, and isonymy.
6
4 90
5 6
6 11
7 31
8 10
9 20
10 15
11 30
12 10
13 15
14 9
15
The use of principal components in the analysis of cross-sectional growth data.
14
16 10
17 32

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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