L. M. Boot

587 citations
15 papers · 489 · h-index 9

Impact in

Papers in

L. M. Boot

14 papers receiving 386 citations

Peers

L. M. Boot
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 94
  • Genetics 147
  • Reproductive Medicine 35
  • Oncology 85
  • Aging 6
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S. Assa Israel
George Pikler United States
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Kimberly G. Langford United States
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Ronald V. Abruzzese United States
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Citations per year

Countries citing papers authored by L. M. Boot

Since Specialization
Citations

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

Fields of papers citing papers by L. M. Boot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside L. M. Boot, 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. M. Boot Line = papers co-authored together L. M. Boot links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Induction of mammary cancer in mice without the mammary tumor agent by isografts of hypophyses.
1959130
2 2018103
3 195675
4 197049
5 197844
6
Further investigations on induction of mammary cancer in mice by isografts of hypophyseal tissue.
196225
7 196724
8 198012
9
Prolaction and the induction of mammary tumors in mice. Abstr.
19628
10 19737
11
Studies on hypophyseal isografts in mice. I. Biologic aspects.
19667
12 19652
13
High estrogen and low progestin receptor levels in outgrowths of hypophyseal isografts.
19782
14
Mammary tumour induction by pituitary isografts in mice.
19621
15 19710

About L. M. Boot

L. M. Boot is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 15 papers that have together received 489 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), RNA and protein synthesis mechanisms (3 papers), Animal Genetics and Reproduction (2 papers), Cancer Research and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Endometrial and Cervical Cancer Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (94 citations), Genetics (147 citations), Reproductive Medicine (35 citations), Oncology (85 citations) and Aging (6 citations). L. M. Boot has collaborated with scholars based in Netherlands, Switzerland and Italy. Frequent co-authors include O. Mühlbock, Roel Nusse, Rob Michalides, Liesbeth van Deemter, Chee Ping Ng, Vincent van Duinen, Jelle Vriend, Jos Joore, Angelique van den Heuvel and Laura Suter‐Dick. Their work appears in journals such as International Journal of Cancer, European Journal of Endocrinology, Journal of Virology, Biochemical Pharmacology and The AAPS Journal.

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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