Fernanda C. Amparo

682 total citations
8 papers, 459 citations indexed

About

Fernanda C. Amparo is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Fernanda C. Amparo has authored 8 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nephrology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Physiology. Recurrent topics in Fernanda C. Amparo's work include Dialysis and Renal Disease Management (5 papers), Nutrition and Health in Aging (4 papers) and Cardiovascular Disease and Adiposity (2 papers). Fernanda C. Amparo is often cited by papers focused on Dialysis and Renal Disease Management (5 papers), Nutrition and Health in Aging (4 papers) and Cardiovascular Disease and Adiposity (2 papers). Fernanda C. Amparo collaborates with scholars based in Sweden, Brazil and Spain. Fernanda C. Amparo's co-authors include Bengt Lindholm, Juan Jesús Carrero, Celso Amodeo, A. C. C. Cordeiro, Maria Ayako Kamimura, Lílian Cuppari, Carla María Avesani, Raíssa Antunes Pereira, Ibraim Pinto and Miklos Z. Molnar and has published in prestigious journals such as Journal of Internal Medicine, Nephrology Dialysis Transplantation and Journal of Hypertension.

In The Last Decade

Fernanda C. Amparo

8 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernanda C. Amparo Sweden	7	305	275	81	57	57	8	459
Ernest Ayers United States	3	165 0.5×	273 1.0×	92 1.1×	47 0.8×	13 0.2×	4	412
Sara Colman United States	8	248 0.8×	533 1.9×	81 1.0×	17 0.3×	87 1.5×	8	648
Kyung Woo Yoon South Korea	10	129 0.4×	171 0.6×	59 0.7×	30 0.5×	18 0.3×	26	312
Danilo Takashi Aoike Brazil	9	94 0.3×	239 0.9×	84 1.0×	60 1.1×	52 0.9×	14	382
V. Terracciano Italy	6	161 0.5×	282 1.0×	90 1.1×	32 0.6×	28 0.5×	16	406
Yukiko Kaizu Japan	5	154 0.5×	327 1.2×	123 1.5×	21 0.4×	36 0.6×	5	402
A. Stein United Kingdom	8	48 0.2×	208 0.8×	85 1.0×	29 0.5×	22 0.4×	13	343
Carpentier Ya Japan	9	215 0.7×	31 0.1×	88 1.1×	27 0.5×	203 3.6×	15	424
Steven Goodrick United Kingdom	3	147 0.5×	56 0.2×	66 0.8×	148 2.6×	52 0.9×	11	485
Erin M. Nystrom United States	9	203 0.7×	72 0.3×	43 0.5×	11 0.2×	156 2.7×	12	412

Countries citing papers authored by Fernanda C. Amparo

Since Specialization

Citations

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

Fields of papers citing papers by Fernanda C. Amparo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernanda C. Amparo. 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 Fernanda C. Amparo. The network helps show where Fernanda C. Amparo may publish in the future.

Co-authorship network of co-authors of Fernanda C. Amparo

This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda C. Amparo. A scholar is included among the top collaborators of Fernanda C. Amparo 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 Fernanda C. Amparo. Fernanda C. Amparo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Cordeiro, A. C. C., Carla María Avesani, Fernanda C. Amparo, et al.. (2020). Muscle Mass Assessed by Computed Tomography at the Third Lumbar Vertebra Predicts Patient Survival in Chronic Kidney Disease. Journal of Renal Nutrition. 31(4). 342–350. 13 indexed citations

Pereira, Raíssa Antunes, A. C. C. Cordeiro, Carla María Avesani, et al.. (2015). Sarcopenia in chronic kidney disease on conservative therapy: prevalence and association with mortality. Nephrology Dialysis Transplantation. 30(10). 1718–1725. 254 indexed citations

Cordeiro, A. C. C., Fernanda C. Amparo, Celso Amodeo, et al.. (2015). Epicardial fat accumulation, cardiometabolic profile and cardiovascular events in patients with stages 3–5 chronic kidney disease. Journal of Internal Medicine. 278(1). 77–87. 34 indexed citations

Cordeiro, A. C. C., Borja Quiroga, Celso Amodeo, et al.. (2014). Clinical determinants and prognostic significance of the electrocardiographic strain pattern in chronic kidney disease patients. Journal of the American Society of Hypertension. 8(5). 312–320. 5 indexed citations

Amparo, Fernanda C., Maria Ayako Kamimura, Miklos Z. Molnar, et al.. (2014). Diagnostic validation and prognostic significance of the Malnutrition-Inflammation Score in nondialyzed chronic kidney disease patients. Nephrology Dialysis Transplantation. 30(5). 821–828. 59 indexed citations

Cordeiro, A. C. C., Abdul Rashid Qureshi, Bengt Lindholm, et al.. (2013). Visceral fat and coronary artery calcification in patients with chronic kidney disease. Nephrology Dialysis Transplantation. 28(suppl 4). iv152–iv159. 35 indexed citations

Cordeiro, A. C. C., Bengt Lindholm, Márcio Gonçalves de Sousa, et al.. (2013). Reliability of electrocardiographic surrogates of left ventricular mass in patients with chronic kidney disease. Journal of Hypertension. 32(2). 439–445. 17 indexed citations

Amparo, Fernanda C., A. C. C. Cordeiro, Juan Jesús Carrero, et al.. (2012). Malnutrition-Inflammation Score is Associated With Handgrip Strength in Nondialysis-Dependent Chronic Kidney Disease Patients. Journal of Renal Nutrition. 23(4). 283–287. 42 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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