L. Butler

1.4k citations
38 papers · 767 · h-index 16

Impact in

Papers in

    • Plant Reproductive Biology 6
    • Metabolism, Diabetes, and Cancer 3
    • Genetic and phenotypic traits in livestock 5
    • Genetic Mapping and Diversity in Plants and Animals 5
    • Diabetes and associated disorders 4

L. Butler

34 papers receiving 661 citations

Peers

L. Butler
Comparison fields: 5 of 90
  • Genetics 372
  • Endocrinology, Diabetes and Metabolism 143
  • Endocrine and Autonomic Systems 28
  • Surgery 177
  • Plant Science 144
Replace Carol S. Williams with:
Carol S. Williams United States
M. F. HAY United Kingdom
R. R. Maurer United States
T. C. Cantley United States
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Jerry J. Reeves United States
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Citations per field
00.5×2.9×
Carol S. Williams · 1×
Citations per year

Countries citing papers authored by L. Butler

Since Specialization
Citations

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

Fields of papers citing papers by L. Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198297
2 198996
3 199171
4 198660
5 196650
6 195336
7 195235
8 198328
9 198927
10 196724
11 197022
12 199321
13 196020
14
The feeding habits of the tsetse, Glossina pallidipes Austen on the south Kenya coast, in the context of its host range and trypanosome infection rates in other parts of east Africa.
198817
15 195217
16 195815
17 195115
18 198314
19
The probability of tsetse acquiring trypanosome infection from single blood meal in different localities in Kenya.
198512
20 195111

About L. Butler

L. Butler is a scholar working on Molecular Biology, Genetics, Plant Science, Epidemiology and Physiology, having authored 38 papers that have together received 767 indexed citations. Recurring topics across this work include Plant Reproductive Biology (6 papers), Genetic and phenotypic traits in livestock (5 papers), Agricultural Practices and Plant Genetics (5 papers), Plant Pathogens and Resistance (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Diabetes and associated disorders (4 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Genetics (372 citations), Endocrinology, Diabetes and Metabolism (143 citations), Endocrine and Autonomic Systems (28 citations), Surgery (177 citations) and Plant Science (144 citations). L. Butler has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Dennis L. Guberski, A. A. Like, A A Like, Aldo A. Rossini, Michael Appel, Elora J. Weringer, C. M. Rick, G. C. Gerritsen, Elizabeth Thompson and Mike Griffiths. Their work appears in journals such as Journal of Heredity, Canadian Journal of Zoology, Diabetes, Diabetologia and Heredity.

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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