Frances Benham

1.4k citations
35 papers · 1.1k · h-index 17

Impact in

Papers in

Frances Benham

35 papers receiving 1.1k citations

Peers

Frances Benham
Comparison fields: 5 of 87
  • Genetics 370
  • Endocrinology, Diabetes and Metabolism 171
  • Molecular Biology 648
  • Physiology 194
  • Nephrology 46
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J K Anderson United States
Bent Formby United States
Seiko Kyakumoto Japan
Tanja A.E. van Achterberg Netherlands
José Luis Montiel-Hernández Mexico
Heather M. Bond Italy
Haruhiko Miyayama Japan
Sophie Valleix France
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Citations per field
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Citations per year

Countries citing papers authored by Frances Benham

Since Specialization
Citations

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

Fields of papers citing papers by Frances Benham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994196
2 1980172
3
Cytogenetic and molecular analysis of sex-chromosome monosomy.
1988121
4 198978
5 198473
6 197752
7 198151
8 197848
9 198137
10 197933
11 199629
12 199326
13 197826
14 198520
15 198917
16
Assignment of tissue-type plasminogen activator to chromosome 8 in man and identification of a common restriction length polymorphism within the gene.
198417
17 199216
18 199416
19 198315
20 199214

About Frances Benham

Frances Benham is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Oncology and Cell Biology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alkaline Phosphatase Research Studies (10 papers), Biochemical and Molecular Research (8 papers), Molecular Biology Techniques and Applications (5 papers), Genomics and Chromatin Dynamics (4 papers), Virus-based gene therapy research (4 papers), Chromosomal and Genetic Variations (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Genetics (370 citations), Endocrinology, Diabetes and Metabolism (171 citations), Molecular Biology (648 citations), Physiology (194 citations) and Nephrology (46 citations). Frances Benham has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Harry Harris, Barbara B. Knowles, Peter W. Andrews, David L. Bronson, Terry Hassold, Mark Leppert, Sidney Strickland, S. Hodgkinson, Patricia D. Wilson and L. M. Franks. Their work appears in journals such as Genomics, International Journal of Cancer, Molecular and Cellular Biology, Annals of Human Genetics and Human Genetics.

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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