Beatriz Morte

3.9k citations
51 papers · 3.0k indexed · h-index 30

Impact in

Papers in

Beatriz Morte

51 papers receiving 2.9k citations

Peers

Beatriz Morte
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Endocrine and Autonomic Systems 678
  • Developmental Neuroscience 123
  • Cognitive Neuroscience 436
  • Genetics 597
Replace Shane W. Rau with:
Shane W. Rau United States
Olaf Jöhren Germany
Ángel Campos‐Barros Spain
Tomoya Nakamachi Japan
Aurélio Balsalobre Canada
Hans Ericson Sweden
Pablo Méndez Spain
Yasukazu Nakahata Japan
Jun Arita Japan
Guo‐Qing Chang United States
Beatriz Morte relative to Shane W. Rau United States Shane W. Rau's profile →
Citations per field
00.5×5.0×
Shane W. Rau · 1×
Citations per year

Countries citing papers authored by Beatriz Morte

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Morte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000397
2 2003237
3 2015216
4 2002182
5 2009144
6 1996111
7 2010102
8 201483
9 199975
10 201473
11 201169
12 199769
13 201266
14 201465
15 200364
16 201562
17 201062
18 201261
19 200161
20 200861

About Beatriz Morte

Beatriz Morte is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 51 papers that have together received 3.0k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (32 papers), Growth Hormone and Insulin-like Growth Factors (22 papers), Genetics and Neurodevelopmental Disorders (14 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuroscience of respiration and sleep (6 papers), Retinoids in leukemia and cellular processes (5 papers), Estrogen and related hormone effects (4 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Endocrine and Autonomic Systems (678 citations), Developmental Neuroscience (123 citations), Cognitive Neuroscience (436 citations) and Genetics (597 citations). Beatriz Morte has collaborated with scholars based in Spain, United States and Japan. Frequent co-authors include Juan Bernal, Ana Guadaño‐Ferraz, Jimena Manzano, Thomas S. Scanlan, Pilar Gil-Ibáñez, Carmen Grijota-Martínez, Luı́s de Lecea, J. Gregor Sutcliffe, Diego Díez and Björn Vennström. Their work appears in journals such as Endocrinology, Thyroid, Nature Reviews Endocrinology, PLoS ONE and Cerebral Cortex.

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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