Chez A. Viall

699 total citations
11 papers, 549 citations indexed

About

Chez A. Viall is a scholar working on Obstetrics and Gynecology, Rheumatology and Nephrology. According to data from OpenAlex, Chez A. Viall has authored 11 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Obstetrics and Gynecology, 8 papers in Rheumatology and 4 papers in Nephrology. Recurrent topics in Chez A. Viall's work include Pregnancy and preeclampsia studies (10 papers), Systemic Lupus Erythematosus Research (8 papers) and Renal Diseases and Glomerulopathies (4 papers). Chez A. Viall is often cited by papers focused on Pregnancy and preeclampsia studies (10 papers), Systemic Lupus Erythematosus Research (8 papers) and Renal Diseases and Glomerulopathies (4 papers). Chez A. Viall collaborates with scholars based in New Zealand, China and United States. Chez A. Viall's co-authors include Larry Chamley, Peter Stone, Mancy Tong, Qi Chen, Q. Chen, Bonnia Liu, Saul Snowise, Melissa J. Mulla, Vikki M. Abrahams and Anthony J. Hickey and has published in prestigious journals such as Human Reproduction Update, Autoimmunity Reviews and Placenta.

In The Last Decade

Chez A. Viall

11 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chez A. Viall New Zealand 10 318 298 240 117 111 11 549
Dario Caliandro Italy 6 319 1.0× 157 0.5× 222 0.9× 182 1.6× 32 0.3× 9 501
W. Pickering United Kingdom 9 171 0.5× 87 0.3× 135 0.6× 219 1.9× 25 0.2× 13 432
Elizabeth Vogt United States 5 229 0.7× 80 0.3× 125 0.5× 118 1.0× 25 0.2× 7 376
Walid Zammiti Tunisia 12 110 0.3× 155 0.5× 140 0.6× 112 1.0× 66 0.6× 14 342
D. Ware Branch United States 7 315 1.0× 54 0.2× 155 0.6× 183 1.6× 23 0.2× 7 439
K. Marzusch Germany 14 33 0.1× 218 0.7× 366 1.5× 68 0.6× 89 0.8× 32 564
Henrik Husby Norway 10 119 0.4× 195 0.7× 69 0.3× 253 2.2× 165 1.5× 17 564
L Spatola Italy 10 544 1.7× 39 0.1× 178 0.7× 230 2.0× 7 0.1× 12 603
Tiziana Bertero Italy 7 189 0.6× 18 0.1× 55 0.2× 138 1.2× 20 0.2× 11 284
Nathan Mordel Israel 15 33 0.1× 64 0.2× 138 0.6× 36 0.3× 123 1.1× 33 514

Countries citing papers authored by Chez A. Viall

Since Specialization
Citations

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

Fields of papers citing papers by Chez A. Viall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chez A. Viall

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

All Works

11 of 11 papers shown
1.
Xu, Lance Yi, Katie Groom, Qi Chen, et al.. (2020). Antiphospholipid antibodies can specifically target placental mitochondria and induce ROS production. Journal of Autoimmunity. 111. 102437–102437. 22 indexed citations
2.
Viall, Chez A., Qi Chen, Peter Stone, & Larry Chamley. (2016). Human extravillous trophoblasts bind but do not internalize antiphospholipid antibodies. Placenta. 42. 9–16. 19 indexed citations
3.
Viall, Chez A. & Larry Chamley. (2015). Histopathology in the placentae of women with antiphospholipid antibodies: A systematic review of the literature. Autoimmunity Reviews. 14(5). 446–471. 131 indexed citations
4.
Pantham, Priyadarshini, Chez A. Viall, Qi Chen, et al.. (2015). Antiphospholipid antibodies bind syncytiotrophoblast mitochondria and alter the proteome of extruded syncytial nuclear aggregates. Placenta. 36(12). 1463–1473. 25 indexed citations
5.
Tong, Mancy, Chez A. Viall, & Larry Chamley. (2014). Antiphospholipid antibodies and the placenta: a systematic review of their in vitro effects and modulation by treatment. Human Reproduction Update. 21(1). 97–118. 80 indexed citations
6.
7.
Viall, Chez A., Hilary Holloway, Q. Chen, Peter Stone, & Larry Chamley. (2014). Development of a simple, cost-effective, semi-correlative light and electron microscopy method to allow the immunoelectron localisation of non-uniformly distributed placental proteins. Placenta. 35(3). 223–227. 6 indexed citations
8.
Viall, Chez A., Qi Chen, Bonnia Liu, et al.. (2013). Antiphospholipid antibodies internalised by human syncytiotrophoblast cause aberrant cell death and the release of necrotic trophoblast debris. Journal of Autoimmunity. 47. 45–57. 58 indexed citations
9.
Viall, Chez A., et al.. (2013). Effect of Hydroxychloroquine on Antiphospholipid Antibody‐Induced Changes in First Trimester Trophoblast Function. American Journal of Reproductive Immunology. 71(2). 154–164. 71 indexed citations
10.
Chamley, Larry, Olivia J. Holland, Q. Chen, et al.. (2013). Review: Where is the maternofetal interface?. Placenta. 35. S74–S80. 45 indexed citations
11.

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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