J.A. Vidart

471 total citations
25 papers, 347 citations indexed

About

J.A. Vidart is a scholar working on Immunology, Reproductive Medicine and Obstetrics and Gynecology. According to data from OpenAlex, J.A. Vidart has authored 25 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Reproductive Medicine and 6 papers in Obstetrics and Gynecology. Recurrent topics in J.A. Vidart's work include Immune Cell Function and Interaction (7 papers), Reproductive System and Pregnancy (7 papers) and T-cell and B-cell Immunology (7 papers). J.A. Vidart is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Reproductive System and Pregnancy (7 papers) and T-cell and B-cell Immunology (7 papers). J.A. Vidart collaborates with scholars based in Spain, United States and Germany. J.A. Vidart's co-authors include Pluvio Coronado, María Fasero, Miguel A. Herráiz, Javier F. Magrina, M Escudero, José Antonio López García‐Asenjo, Trinidad Caldés, Isabel Cervera, Manuel Benito and Pilar Iniesta and has published in prestigious journals such as Journal of Clinical Oncology, European Journal of Cancer and Obstetrics and Gynecology.

In The Last Decade

J.A. Vidart

24 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.A. Vidart Spain 9 143 110 90 67 62 25 347
Eugene P. Toy United States 11 122 0.9× 85 0.8× 80 0.9× 43 0.6× 62 1.0× 19 309
Jennifer N. Stall United States 8 53 0.4× 129 1.2× 111 1.2× 83 1.2× 92 1.5× 16 326
Martina Arcieri Italy 12 189 1.3× 113 1.0× 174 1.9× 112 1.7× 51 0.8× 69 399
Nicolas M. Monte United States 6 153 1.1× 34 0.3× 185 2.1× 77 1.1× 106 1.7× 8 361
John Hoff United States 9 130 0.9× 61 0.6× 142 1.6× 127 1.9× 59 1.0× 16 352
Hua-Hsi Wu Taiwan 9 59 0.4× 147 1.3× 72 0.8× 34 0.5× 106 1.7× 12 308
Kaoru Okugawa Japan 13 251 1.8× 107 1.0× 168 1.9× 54 0.8× 83 1.3× 48 445
Diana Lim Singapore 11 211 1.5× 52 0.5× 234 2.6× 58 0.9× 77 1.2× 30 415
Marit Scheistrøen Norway 13 95 0.7× 161 1.5× 121 1.3× 158 2.4× 59 1.0× 16 397
Anna Dańska-Bidzińska Poland 11 175 1.2× 79 0.7× 190 2.1× 104 1.6× 68 1.1× 42 405

Countries citing papers authored by J.A. Vidart

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Vidart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Vidart. 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 J.A. Vidart. The network helps show where J.A. Vidart may publish in the future.

Co-authorship network of co-authors of J.A. Vidart

This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Vidart. A scholar is included among the top collaborators of J.A. Vidart 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 J.A. Vidart. J.A. Vidart 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.
Coronado, Pluvio, María Fasero, Laura Baquedano, et al.. (2014). Impact of the Lymphadenectomy in High-Risk Histologic Types of Endometrial Cancer. International Journal of Gynecological Cancer. 24(4). 703–712. 15 indexed citations
2.
Coronado, Pluvio, María Fasero, Javier F. Magrina, Miguel A. Herráiz, & J.A. Vidart. (2014). Comparison of Perioperative Outcomes and Cost Between Robotic-Assisted and Conventional Laparoscopy for Transperitoneal Infrarenal Para-aortic Lymphadenectomy (TIPAL). Journal of Minimally Invasive Gynecology. 21(4). 674–681. 23 indexed citations
3.
Coronado, Pluvio, A. Nieto, Juan Carlos Martínez Escoriza, et al.. (2014). Spanish consensus on vulvar disorders in postmenopausal women. Maturitas. 80(2). 226–233. 4 indexed citations
4.
Cervera, Isabel, et al.. (2014). Different patterns of A*80:01:01:01 allele generation based on exon or intron sequences. Tissue Antigens. 85(1). 58–67. 2 indexed citations
5.
Martı́nez-Laso, Jorge, et al.. (2012). Promoter sequences confirm the three different evolutionary lineages described for HLA-G. Human Immunology. 74(3). 383–388. 12 indexed citations
6.
Coronado, Pluvio, Miguel A. Herráiz, Javier F. Magrina, María Fasero, & J.A. Vidart. (2012). Comparison of perioperative outcomes and cost of robotic-assisted laparoscopy, laparoscopy and laparotomy for endometrial cancer. European Journal of Obstetrics & Gynecology and Reproductive Biology. 165(2). 289–294. 97 indexed citations
7.
Cervera, Isabel, et al.. (2011). The novel HLA‐G*01:03:01:02 allele differs from G*01:03:01:01 by a possible inversion event in intron 3. Tissue Antigens. 78(2). 159–160. 2 indexed citations
8.
Martín, Miguel, Atocha Romero, Maggie C.U. Cheang, et al.. (2011). Genomic predictors of response to doxorubicin versus docetaxel in primary breast cancer. Breast Cancer Research and Treatment. 128(1). 127–136. 52 indexed citations
9.
10.
Cervera, Isabel, et al.. (2010). A new allele, HLA-G*010120, is generated by a recombination event between HLA-G*01010101/02 and HLA-G*01010201. Tissue Antigens. 75(6). 738–740. 2 indexed citations
11.
Vidart, J.A., et al.. (2010). Usefulness of an educational leaflet to modify sexual risk behaviour in women with external genital warts. European Journal of Dermatology. 20(3). 339–344. 2 indexed citations
12.
Cervera, Isabel, et al.. (2010). The HLA-B*83:01 allele is generated by a gene conversion event including whole of exon 2 and partial introns 1 and 2 between B*44 and B*56 alleles. International Journal of Immunogenetics. 38(1). 73–75. 2 indexed citations
13.
Román, Ángela, et al.. (2009). Heterogeneous expression of HLA-G1, -G2, -G5, -G6, and -G7 in myeloid and plasmacytoid dendritic cells isolated from umbilical cord blood. Human Immunology. 70(2). 104–109. 12 indexed citations
14.
Cervera, Isabel, Miguel A. Herráiz, Ángela Román, J.A. Vidart, & Jorge Martı́nez-Laso. (2009). The novel HLA‐G*01010302 allele differs from G*01010301 by a single nucleotide change in intron 5. Tissue Antigens. 74(5). 463–464. 3 indexed citations
15.
Román, Ángela, Isabel Cervera, Miguel A. Herráiz, J.A. Vidart, & Jorge Martı́nez-Laso. (2009). A new allele, HLA‐G*01010106, with changes in intron 2. Tissue Antigens. 74(3). 270–271. 4 indexed citations
16.
Rodríguez‐Escudero, F.J., et al.. (2005). Cáncer invasivo de cérvix en España (1995). Encuesta de la Sociedad Española de Ginecología y Obstetricia. Progresos de Obstetricia y Ginecología. 48(5). 247–257. 2 indexed citations
17.
Coronado, Pluvio, et al.. (2003). Estudio clinicopatológico de los sarcomas uterinos. Progresos de Obstetricia y Ginecología. 46(9). 382–389.
18.
Coronado, Pluvio, et al.. (2001). P53 overexpression predicts endometrial carcinoma recurrence better than HER-2/neu overexpression. European Journal of Obstetrics & Gynecology and Reproductive Biology. 98(1). 103–108. 42 indexed citations
19.
Coronado, Pluvio, et al.. (2001). A Comparison of Epithelial Membrane Antigen Overexpression in Benign and Malignant Endometrium. Gynecologic Oncology. 82(3). 483–488. 5 indexed citations
20.
Maestro, M.L., et al.. (1999). Tissue Quantification of CA 125 in Epithelial Ovarian Cancer. The International Journal of Biological Markers. 14(2). 106–114. 22 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026