Natalie E. Cusano

75 papers receiving 3.5k citations

Natalie E. Cusano's Hit Papers

Hyperparathyroidism 2017 · 358 citations
3580+3+6Years since publication100200300

Peers

Natalie E. Cusano
Comparison fields: 5 of 106
  • Nephrology 2.1k
  • Orthopedics and Sports Medicine 585
  • Oncology 827
  • Surgery 1.2k
  • Pathology and Forensic Medicine 419
Replace Ryo Okazaki with:
Ryo Okazaki Japan
Cristina Eller-Vainicher Italy
Aluízio B. Carvalho Brazil
Lars Rolighed Denmark
Ann E. Kearns United States
José R. Weisinger Venezuela
P. Lakatos Hungary
Stewart A. Turner United States
Francesco Bertoldo Italy
Olena Andrukhova Austria
Natalie E. Cusano relative to Ryo Okazaki Japan Ryo Okazaki's profile →
Citations per field
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Ryo Okazaki · 1×
Citations per year

Countries citing papers authored by Natalie E. Cusano

Since Specialization
Citations

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

Fields of papers citing papers by Natalie E. Cusano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie E. Cusano. 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 Natalie E. Cusano. The network helps show where Natalie E. Cusano may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hyperparathyroidism
Hit paper breakdown →
2017358
2 2014284
3 2011241
4 2011173
5 2012165
6 2016164
7 2012155
8 2016146
9 2013135
10 2013114
11 2013102
12 201495
13 201488
14 201687
15 201577
16 201876
17 201374
18 201565
19 201260
20 201956

About Natalie E. Cusano

Natalie E. Cusano is a scholar working on Nephrology, Surgery, Oncology, Orthopedics and Sports Medicine and Pathology and Forensic Medicine, having authored 77 papers that have together received 3.7k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (47 papers), Thyroid and Parathyroid Surgery (32 papers), Bone health and treatments (27 papers), Bone health and osteoporosis research (21 papers), Vitamin D Research Studies (15 papers), Genetic Syndromes and Imprinting (9 papers), Bone Metabolism and Diseases (6 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Nephrology (2.1k citations), Orthopedics and Sports Medicine (585 citations), Oncology (827 citations), Surgery (1.2k citations) and Pathology and Forensic Medicine (419 citations). Natalie E. Cusano has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include John P. Bilezikian, Barbara C. Silva, Mishaela R. Rubin, Aliya Khan, Aline G. Costa, Leonardo Bandeira, Shonni J. Silverberg, Serge Cremers, Francisco Bandeira and Donald J. McMahon. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Bone and Mineral Research, Best Practice & Research Clinical Endocrinology & Metabolism, Endocrine Practice and Journal of Clinical Densitometry.

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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