Javier Setoaín

1.9k total citations
36 papers, 1.2k citations indexed

About

Javier Setoaín is a scholar working on Molecular Biology, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Javier Setoaín has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Psychiatry and Mental health and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Javier Setoaín's work include Epilepsy research and treatment (7 papers), Advanced MRI Techniques and Applications (4 papers) and Remote-Sensing Image Classification (4 papers). Javier Setoaín is often cited by papers focused on Epilepsy research and treatment (7 papers), Advanced MRI Techniques and Applications (4 papers) and Remote-Sensing Image Classification (4 papers). Javier Setoaín collaborates with scholars based in Spain and United Kingdom. Javier Setoaín's co-authors include M Luengo, Josep M. Montserrat, Luis del Río, Núria Guañabens, César Picado, Francisco Tirado, Manuel Prieto, Christian Tenllado, Laura Del Rı́o and Laura Sampietro-Colom and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and NeuroImage.

In The Last Decade

Javier Setoaín

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Setoaín Spain 17 374 276 179 164 154 36 1.2k
Kyoung Jin Lee South Korea 19 60 0.2× 206 0.7× 128 0.7× 97 0.6× 101 0.7× 58 1.8k
Usha Sinha United States 23 282 0.8× 208 0.8× 27 0.2× 168 1.0× 130 0.8× 90 2.3k
Chuan Huang United States 24 94 0.3× 168 0.6× 216 1.2× 59 0.4× 128 0.8× 113 1.8k
Bryon R. Gomberg United States 16 769 2.1× 166 0.6× 149 0.8× 30 0.2× 146 0.9× 19 1.2k
Yun Lu China 20 122 0.3× 211 0.8× 247 1.4× 29 0.2× 265 1.7× 74 1.2k
Katsumi Nakamura Japan 24 57 0.2× 425 1.5× 68 0.4× 49 0.3× 169 1.1× 106 1.8k
Yongming Dai China 23 60 0.2× 115 0.4× 118 0.7× 36 0.2× 167 1.1× 136 2.0k
Aliya Gifford United States 12 39 0.1× 350 1.3× 37 0.2× 37 0.2× 132 0.9× 22 1.6k
Takanori Watanabe Japan 22 25 0.1× 155 0.6× 451 2.5× 109 0.7× 215 1.4× 122 2.1k

Countries citing papers authored by Javier Setoaín

Since Specialization
Citations

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

Fields of papers citing papers by Javier Setoaín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Setoaín

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Setoaín. A scholar is included among the top collaborators of Javier Setoaín 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 Javier Setoaín. Javier Setoaín 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.
Setoaín, Javier, et al.. (2024). GenArchBench: A genomics benchmark suite for arm HPC processors. Future Generation Computer Systems. 157. 313–329. 4 indexed citations
2.
Armejach, Adrià, et al.. (2020). Compressed Sparse FM-Index: Fast Sequence Alignment Using Large K-Steps. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 355–368. 5 indexed citations
3.
Setoaín, Javier, Mónica Franch, Marta Martínez, et al.. (2015). NFFinder: an online bioinformatics tool for searching similar transcriptomics experiments in the context of drug repositioning. Nucleic Acids Research. 43(W1). W193–W199. 48 indexed citations
4.
Carreño, Mar, Javier Aparicio, Alba Sierra, et al.. (2011). Are patients referred for presurgical evaluation drug resistant according to the new consensus definition? A study in a tertiary center. Epilepsy Research. 98(2-3). 277–280. 4 indexed citations
5.
Donaire, Antonio, Mar Carreño, Núria Bargalló, et al.. (2009). Sequential analysis of fMRI images: A new approach to study human epileptic networks. Epilepsia. 50(12). 2526–2537. 18 indexed citations
6.
Donaire, Antonio, Núria Bargalló, Iratxe Maestro, et al.. (2009). Identifying the structures involved in seizure generation using sequential analysis of ictal-fMRI data. NeuroImage. 47(1). 173–183. 31 indexed citations
7.
Setoaín, Javier, Manuel Prieto, Christian Tenllado, et al.. (2009). Endmember extraction from hyperspectral imagery using a parallel ensemble approach with consensus analysis. 3753. V–88. 1 indexed citations
8.
Falip, Mercè, Mar Carreño, Antonio Donaire, et al.. (2008). Postictal psychosis: A retrospective study in patients with refractory temporal lobe epilepsy. Seizure. 18(2). 145–149. 20 indexed citations
9.
Espallargues, Mireia, Laura Sampietro-Colom, Maria-Dolors Estrada, et al.. (2001). Identifying Bone-Mass-Related Risk Factors for Fracture to Guide Bone Densitometry Measurements: A Systematic Review of the Literature. Osteoporosis International. 12(10). 811–822. 209 indexed citations
10.
Clemente, Alberto, et al.. (2000). Incidental Finding of Varicocele Detected on a Blood-Pool Image on Tc-99m HMDP Bone Scintigraphy. Clinical Nuclear Medicine. 25(11). 947–948. 1 indexed citations
11.
Ros, D., et al.. (1999). Evaluation of algorithms for the registration of 99Tcm-HMPAO brain SPET studies. Nuclear Medicine Communications. 20(3). 227–236. 12 indexed citations
12.
13.
Arroyo, Santiago, Francesc Sanmartí, F. Lomeña, et al.. (1997). Ictal Laughter Associated with Paroxysmal Hypothalamopituitary Dysfunction. Epilepsia. 38(1). 114–117. 69 indexed citations
14.
Pons, F, Raimón Sanmartí, Antonio Collado, et al.. (1996). Scintigraphic evaluation of the severity of inflammation of the joints with 99Tcm-HIG in rheumatoid arthritis. Nuclear Medicine Communications. 17(6). 523–528. 14 indexed citations
15.
Pons, F, et al.. (1993). Detection and quantitative analysis of joint activity inflammation with 99Tcm-polyclonal human immunoglobulin G. Nuclear Medicine Communications. 14(3). 225–231. 14 indexed citations
16.
Lomeña, F., et al.. (1991). 99Tcm-HMPAO leucocyte scintigraphy in the diagnosis of bone infection. Nuclear Medicine Communications. 12(5). 417–428. 19 indexed citations
17.
Luengo, M, César Picado, Luis del Río, et al.. (1990). Treatment of Steroid-induced Osteopenia with Calcitonin in Corticosteroid-dependent Asthma: A One-Year Follow-up Study. American Review of Respiratory Disease. 142(1). 104–107. 80 indexed citations
18.
Rosell, R., et al.. (1988). Abnormal Scintigraphic Evolution in AA Hepatic Amyloidosis. Clinical Nuclear Medicine. 13(3). 194–196. 5 indexed citations
19.
Pons, Françesca, et al.. (1988). Uptake of Technetium-99m DISIDA by Bone Metastasis From a Hepatoma. Clinical Nuclear Medicine. 13(4). 280–282. 2 indexed citations
20.
Coll, J, et al.. (1987). Prevalence of Sjögren's syndrome in autoimmune diseases.. Annals of the Rheumatic Diseases. 46(4). 286–289. 43 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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