João Anselmo

1.2k total citations
36 papers, 762 citations indexed

About

João Anselmo is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, João Anselmo has authored 36 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in João Anselmo's work include Thyroid Disorders and Treatments (17 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Birth, Development, and Health (5 papers). João Anselmo is often cited by papers focused on Thyroid Disorders and Treatments (17 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Birth, Development, and Health (5 papers). João Anselmo collaborates with scholars based in Portugal, United States and Germany. João Anselmo's co-authors include Samuel Refetoff, Roy E. Weiss, Parkash S. Gill, Zbigniew Petrovich, A. M. Levine, Linda Y. Chak, Paul R. Meyer, Alexandra M. Dumitrescu, Bart Keymeulen and Daniël Pipeleers and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

João Anselmo

34 papers receiving 743 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
João Anselmo Portugal 15 443 180 111 107 107 36 762
Z Límanová Czechia 17 529 1.2× 119 0.7× 100 0.9× 110 1.0× 132 1.2× 60 804
Pekka Leinonen Finland 15 559 1.3× 305 1.7× 100 0.9× 149 1.4× 96 0.9× 27 1.1k
Christiaan de Bruin Netherlands 15 543 1.2× 157 0.9× 239 2.2× 122 1.1× 122 1.1× 46 894
A. M. McGregor United Kingdom 15 384 0.9× 176 1.0× 54 0.5× 135 1.3× 96 0.9× 21 673
Christoph Hübener Germany 10 331 0.7× 116 0.6× 119 1.1× 111 1.0× 86 0.8× 24 602
Carles Zafón Spain 18 518 1.2× 252 1.4× 179 1.6× 40 0.4× 139 1.3× 73 968
Annemieke Roos Netherlands 7 521 1.2× 114 0.6× 92 0.8× 38 0.4× 55 0.5× 9 801
Ai Yoshihara Japan 17 662 1.5× 65 0.4× 72 0.6× 88 0.8× 81 0.8× 56 814
Rikke Hjortebjerg Denmark 16 347 0.8× 225 1.3× 69 0.6× 67 0.6× 97 0.9× 37 610
Chiara Sardella Italy 20 567 1.3× 246 1.4× 248 2.2× 52 0.5× 66 0.6× 51 960

Countries citing papers authored by João Anselmo

Since Specialization
Citations

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

Fields of papers citing papers by João Anselmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Anselmo

This figure shows the co-authorship network connecting the top 25 collaborators of João Anselmo. A scholar is included among the top collaborators of João Anselmo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with João Anselmo. João Anselmo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Anselmo, João, et al.. (2024). 7606 Partial Xp Duplication and Xq Deletion in a Patient with Premature Ovarian Failure: A Rare Case Report. Journal of the Endocrine Society. 8(Supplement_1).
2.
Hernández, Arturo, et al.. (2023). Epigenetic developmental programming and intergenerational effects of thyroid hormones. Vitamins and hormones. 122. 23–49. 4 indexed citations
3.
4.
Anselmo, João, et al.. (2021). Coincidence or correlation?. Revista de Estudos Anglo-Portugueses/Journal of Anglo-Portuguese Studies. 4 indexed citations
5.
Bruinstroop, Eveline, et al.. (2020). Increased Hepatic Fat Content in Patients with Resistance to Thyroid Hormone Beta. Thyroid. 31(7). 1127–1134. 36 indexed citations
6.
Köhrle, Josef, Ina Lehmphul, Maik Pietzner, et al.. (2020). 3,5-T2—A Janus-Faced Thyroid Hormone Metabolite Exerts Both Canonical T3-Mimetic Endocrine and Intracrine Hepatic Action. Frontiers in Endocrinology. 10. 787–787. 18 indexed citations
7.
Anselmo, João, et al.. (2020). Physiologic Significance of Epigenetic Regulation of Thyroid Hormone Target Gene Expression. European Thyroid Journal. 9(3). 114–123. 8 indexed citations
8.
Anselmo, João, Neal H. Scherberg, Alexandra M. Dumitrescu, & Samuel Refetoff. (2019). Reduced Sensitivity to Thyroid Hormone as a Transgenerational Epigenetic Marker Transmitted Along the Human Male Line. Thyroid. 29(6). 778–782. 24 indexed citations
9.
Monteiro, Cecília, João Anselmo, Marta Novais, et al.. (2019). Predictive model of response to tafamidis in hereditary ATTR polyneuropathy. JCI Insight. 4(12). 60 indexed citations
10.
Sousa, Ana Paula, et al.. (2019). The diagnostic utility of neurophysiologic tests for early diagnostic of transthyretin familial amyloid polyneuropathy. Amyloid. 26(sup1). 70–70. 1 indexed citations
11.
Martín‐Montalvo, Alejandro, Livia López–Noriega, Petra I. Lorenzo, et al.. (2018). Transient PAX8 Expression in Islets During Pregnancy Correlates With β-Cell Survival, Revealing a Novel Candidate Gene in Gestational Diabetes Mellitus. Diabetes. 68(1). 109–118. 18 indexed citations
12.
Anselmo, João, Xiao-Hui Liao, Georg Sebastian Hönes, et al.. (2017). Fetal Exposure to High Maternal Thyroid Hormone Levels Causes Central Resistance to Thyroid Hormone in Adult Humans and Mice. The Journal of Clinical Endocrinology & Metabolism. 102(9). 3234–3240. 22 indexed citations
13.
Hermanns, Pia, João Anselmo, Hennie Bikker, et al.. (2013). A New PAX8 Mutation Causing Congenital Hypothyroidism in Three Generations of a Family Is Associated with Abnormalities in the Urogenital Tract. Thyroid. 23(9). 1074–1078. 31 indexed citations
14.
Mittag, Jens, Thomas Behrends, Kristina Nordström, et al.. (2012). Serum copper as a novel biomarker for resistance to thyroid hormone. Biochemical Journal. 443(1). 103–109. 41 indexed citations
15.
Anselmo, João, Victor Alves Carneiro, Isaac Lévy, et al.. (2011). A Large Family with Carney Complex Caused by the S147G PRKAR1A Mutation Shows a Unique Spectrum of Disease Including Adrenocortical Cancer. The Journal of Clinical Endocrinology & Metabolism. 97(2). 351–359. 50 indexed citations
16.
Kocherginsky, Masha, et al.. (2010). Autoimmunity in Patients with Resistance to Thyroid Hormone. The Journal of Clinical Endocrinology & Metabolism. 95(7). 3189–3193. 39 indexed citations
17.
Anselmo, João. (2004). Fetal Loss Associated With Excess Thyroid Hormone Exposure. JAMA. 292(6). 691–691. 178 indexed citations
18.
Anselmo, João & Paulo Moura. (2004). Visual Vignette. Endocrine Practice. 10(1). 89–89. 4 indexed citations
19.
Gorus, Frans, João Anselmo, & Bart Keymeulen. (1993). Type 1 (Insulin-Dependent) Diabetes Mellitus: An Autoimmune, Predictable and Preventable Disease? Lessons From National Registries and New Challenges to Clinical Biology. Acta Clinica Belgica. 48(2). 96–108. 7 indexed citations
20.
Ballester, D, et al.. (1965). Serum cholesterol in Chilean newborn infants and its evolution during the first months of life. Comparison between breast fed infants and those fed a cow's milk formula.. PubMed. 20(2). 227–35. 2 indexed citations

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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