Daniel Fonseca

653 total citations · 1 hit paper
6 papers, 475 citations indexed

About

Daniel Fonseca is a scholar working on Cell Biology, Political Science and International Relations and Endocrine and Autonomic Systems. According to data from OpenAlex, Daniel Fonseca has authored 6 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cell Biology, 1 paper in Political Science and International Relations and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Daniel Fonseca's work include Endoplasmic Reticulum Stress and Disease (2 papers), Autophagy in Disease and Therapy (1 paper) and Blood properties and coagulation (1 paper). Daniel Fonseca is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (2 papers), Autophagy in Disease and Therapy (1 paper) and Blood properties and coagulation (1 paper). Daniel Fonseca collaborates with scholars based in United States, United Kingdom and Brazil. Daniel Fonseca's co-authors include R. Caldeyro‐Barcia, Sergio Konichezky, Haroldo Capurro, Pedro Carvalho, R. J. Harrison, Marco Lepore, V. Karuppiah, Cristina Ribeiro-Silva, Andrew J. Creese and Emma J. Grant and has published in prestigious journals such as The Journal of Cell Biology, Biochemical Journal and Frontiers in Immunology.

In The Last Decade

Daniel Fonseca

6 papers receiving 437 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A simplified method for diagnosis of gestational age in the newborn infant

1978 465 citations Haroldo Capurro, Sergio Konichezky et al. The Journal of Pediatrics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel Fonseca	246	111	104	102	100	6	475
Ellen Bradley	309 1.3×	164 1.5×	81 0.8×	167 1.6×	112 1.1×	6	558
Haroldo Capurro	263 1.1×	119 1.1×	104 1.0×	108 1.1×	116 1.2×	4	500
Mei Chien Chua	109 0.4×	133 1.2×	120 1.2×	54 0.5×	67 0.7×	34	360
G. Devoti	170 0.7×	67 0.6×	64 0.6×	33 0.3×	137 1.4×	13	577
Luís Pereira‐da‐Silva	181 0.7×	73 0.7×	300 2.9×	185 1.8×	36 0.4×	69	631
Lyn Kieltyka	191 0.8×	40 0.4×	20 0.2×	59 0.6×	114 1.1×	12	538
Tinu Mary Samuel	160 0.7×	254 2.3×	411 4.0×	93 0.9×	123 1.2×	24	684
Christopher Flatley	509 2.1×	96 0.9×	35 0.3×	156 1.5×	458 4.6×	61	797
Diana M Bond	215 0.9×	208 1.9×	30 0.3×	98 1.0×	212 2.1×	23	512
Lauren Patterson	223 0.9×	48 0.4×	30 0.3×	65 0.6×	101 1.0×	6	449

Countries citing papers authored by Daniel Fonseca

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Fonseca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Fonseca

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

All Works

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6 of 6 papers shown

Fonseca, Daniel, Emma J. Grant, R. J. Harrison, et al.. (2025). Molecular basis underpinning MR1 allomorph recognition by an MR1-restricted T cell receptor. Frontiers in Immunology. 16. 1547664–1547664. 1 indexed citations

Fonseca, Daniel, et al.. (2024). The derlin Dfm1 couples retrotranslocation of a folded protein domain to its proteasomal degradation. The Journal of Cell Biology. 223(5). 2 indexed citations

Fonseca, Daniel, et al.. (2023). Assessment of the Neurological Activation in Law Enforcement under High Threat Situations: A Fuzzy Logic Approach. World Journal of Neuroscience. 13(1). 67–89. 1 indexed citations

Fonseca, Daniel, et al.. (2019). A Questão Cibernética e o Pensamento Realista. 25(2). 517–543. 2 indexed citations

Fonseca, Daniel, Samuel Gilberto, Cristina Ribeiro-Silva, et al.. (2016). The role of fibrinogen glycation in ATTR: evidence for chaperone activity loss in disease. Biochemical Journal. 473(14). 2225–2237. 4 indexed citations

Capurro, Haroldo, Sergio Konichezky, Daniel Fonseca, & R. Caldeyro‐Barcia. (1978). A simplified method for diagnosis of gestational age in the newborn infant. The Journal of Pediatrics. 93(1). 120–122. 465 indexed citations breakdown →

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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