Gert L. Laqueur

34 papers receiving 1.1k citations

Peers

Gert L. Laqueur
Comparison fields: 5 of 114
  • Developmental Neuroscience 81
  • Clinical Biochemistry 71
  • Microbiology 8
  • Pharmacology 88
  • Ecology, Evolution, Behavior and Systematics 190
Replace Hiromu Matsumoto with:
Hiromu Matsumoto United States
J. R. M. Innes United States
G. M. H. Waites United Kingdom
Juraj Koppel Slovakia
Junko Adachi Japan
Robert J. Schotzinger United States
HILLAR KLANDORF United States
Albert Cheung-Hoi Yu China
Minoru Ohta Japan
Stefan Kahlert Germany
Gert L. Laqueur relative to Hiromu Matsumoto United States Hiromu Matsumoto's profile →
Citations per field
00.5×1.5×1.8×
Hiromu Matsumoto · 1×
Citations per year

Countries citing papers authored by Gert L. Laqueur

Since Specialization
Citations

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

Fields of papers citing papers by Gert L. Laqueur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gert L. Laqueur, 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 Gert L. Laqueur Line = papers co-authored together Gert L. Laqueur 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 1963195
2
Toxicology of cycasin.
1968122
3 1968118
4 1965101
5 196793
6 197288
7 196982
8 196779
9 196675
10 196546
11
Tumor induction in Fischer and Osborne-Mendel rats by a single administration of cycasin.
196844
12 196641
13 196337
14 195534
15 195433
16 196622
17 196822
18 198122
19 195521
20 195821

About Gert L. Laqueur

Gert L. Laqueur is a scholar working on Ecology, Evolution, Behavior and Systematics, Endocrinology, Diabetes and Metabolism, Emergency Medicine, Pharmacology and Physiology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Botany and Geology in Latin America and Caribbean (9 papers), Plant Toxicity and Pharmacological Properties (4 papers), Poisoning and overdose treatments (3 papers), Diet and metabolism studies (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Electrolyte and hormonal disorders (2 papers) and Animal Ecology and Behavior Studies (2 papers). The work is most often cited by research in Developmental Neuroscience (81 citations), Clinical Biochemistry (71 citations), Microbiology (8 citations), Pharmacology (88 citations) and Ecology, Evolution, Behavior and Systematics (190 citations). Gert L. Laqueur has collaborated with scholars based in United States. Frequent co-authors include Maria Spatz, Hiromu Matsumoto, Ernest G. McDaniel, Olaf Mickelsen, L. T. Kurland, Iwao Hirono, Daniel W. Smith, Marius P. Valsamis, Ausma Rabe and Paul P. Weinstein. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Experimental Biology and Medicine, Journal of Neural Transmission, Journal of Nutrition and Endocrinology.

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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