Anca Askanase

11.0k total citations · 1 hit paper
135 papers, 3.3k citations indexed

About

Anca Askanase is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Anca Askanase has authored 135 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Rheumatology, 58 papers in Immunology and 34 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anca Askanase's work include Systemic Lupus Erythematosus Research (105 papers), Monoclonal and Polyclonal Antibodies Research (32 papers) and T-cell and B-cell Immunology (24 papers). Anca Askanase is often cited by papers focused on Systemic Lupus Erythematosus Research (105 papers), Monoclonal and Polyclonal Antibodies Research (32 papers) and T-cell and B-cell Immunology (24 papers). Anca Askanase collaborates with scholars based in United States, United Kingdom and Sweden. Anca Askanase's co-authors include Jill P. Buyon, Richard Furie, Eric F. Morand, Lilia Pineda, Raj Tummala, Ian N Bruce, Sang‐Cheol Bae, Christophe Richez, Anna Berglind and Philip Z. Brohawn and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Anca Askanase

121 papers receiving 3.2k citations

Hit Papers

Trial of Anifrolumab in A... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anca Askanase United States 27 2.4k 1.6k 771 306 291 135 3.3k
Peter Izmirly United States 33 2.1k 0.9× 1.4k 0.8× 370 0.5× 190 0.6× 578 2.0× 97 3.6k
Mariele Gatto Italy 33 2.3k 1.0× 1.8k 1.1× 666 0.9× 203 0.7× 105 0.4× 121 3.6k
Holly M. Bastian United States 28 3.3k 1.4× 2.1k 1.3× 672 0.9× 157 0.5× 156 0.5× 41 4.0k
Enrique de Ramón Spain 20 2.1k 0.9× 1.3k 0.8× 478 0.6× 203 0.7× 87 0.3× 51 3.1k
S Manzi United States 20 2.0k 0.8× 1.4k 0.9× 285 0.4× 170 0.6× 400 1.4× 34 2.6k
Heikki Julkunen Finland 29 1.8k 0.7× 1.1k 0.7× 361 0.5× 265 0.9× 264 0.9× 88 2.6k
Tammy O. Utset United States 25 2.3k 1.0× 1.9k 1.2× 722 0.9× 381 1.2× 55 0.2× 43 3.2k
Sandra Navarra Philippines 24 3.3k 1.4× 2.3k 1.4× 1.3k 1.6× 291 1.0× 73 0.3× 79 4.1k
Irene E. van der Horst‐Bruinsma Netherlands 33 3.0k 1.3× 1.2k 0.8× 414 0.5× 143 0.5× 213 0.7× 85 3.7k
Diane van der Woude Netherlands 32 2.8k 1.2× 1.1k 0.7× 1.4k 1.8× 422 1.4× 235 0.8× 85 4.1k

Countries citing papers authored by Anca Askanase

Since Specialization
Citations

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

Fields of papers citing papers by Anca Askanase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anca Askanase

This figure shows the co-authorship network connecting the top 25 collaborators of Anca Askanase. A scholar is included among the top collaborators of Anca Askanase 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 Anca Askanase. Anca Askanase 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.
Mirsaeidi, Mehdi, et al.. (2025). A Narrative Review of the Immunomodulatory Effects of Acthar® Gel Beyond Its Steroidogenic Properties. Advances in Therapy. 42(11). 5365–5379.
2.
Khalili, Leila, Wei Tang, Yevgeniya Gartshteyn, et al.. (2025). CAR T-cell therapy in SLE: A systematic review. Seminars in Arthritis and Rheumatism. 74. 152786–152786. 2 indexed citations
4.
Askanase, Anca, Richard Furie, Maria Dall’Era, et al.. (2024). Disease-modifying therapies in systemic lupus erythematosus for extrarenal manifestations. Lupus Science & Medicine. 11(1). e001124–e001124. 4 indexed citations
5.
Askanase, Anca, Cynthia Aranow, Mimi Kim, et al.. (2023). Protocol for virtual physical examination in an observational, longitudinal study evaluating virtual outcome measures in SLE. Lupus Science & Medicine. 10(2). e000952–e000952. 2 indexed citations
6.
Mosca, Marta, Laurent Arnaud, Anca Askanase, et al.. (2023). LP-187 Abstract withdrawn. SHILAP Revista de lepidopterología. A158.2–A158. 1 indexed citations
8.
Gartshteyn, Yevgeniya, Anca Askanase, Ruijiang Song, et al.. (2022). SLAMF6 compartmentalization enhances T cell functions. Life Science Alliance. 6(2). e202201533–e202201533. 11 indexed citations
9.
Vollenhoven, Ronald van, Anca Askanase, Andrew S. Bomback, et al.. (2022). Conceptual framework for defining disease modification in systemic lupus erythematosus: a call for formal criteria. Lupus Science & Medicine. 9(1). e000634–e000634. 31 indexed citations
10.
Tang, Wei, et al.. (2021). SARS-CoV-2 vaccines in patients with SLE. Lupus Science & Medicine. 8(1). e000479–e000479. 25 indexed citations
11.
Gartshteyn, Yevgeniya, Adam Mor, Daichi Shimbo, et al.. (2021). Platelet bound complement split product (PC4d) is a marker of platelet activation and arterial vascular events in Systemic Lupus Erythematosus. Clinical Immunology. 228. 108755–108755. 12 indexed citations
12.
Tang, Wei, Yevgeniya Gartshteyn, Hyun Koo Kim, et al.. (2021). Flexible optical imaging band system for the assessment of arthritis in patients with systemic lupus erythematosus. Biomedical Optics Express. 12(3). 1651–1651. 1 indexed citations
13.
Park, Elizabeth, Jon T. Giles, Yevgeniya Gartshteyn, et al.. (2021). Hydroxychloroquine use is not associated with QTc length in a large cohort of SLE and RA patients. Arthritis Research & Therapy. 23(1). 271–271. 9 indexed citations
14.
Tang, Wei, et al.. (2021). The Use of COVID-19 Vaccines in Patients with SLE. Current Rheumatology Reports. 23(11). 79–79. 26 indexed citations
15.
Tang, Wei, et al.. (2021). Evaluation of SLE arthritis using frequency domain optical imaging. Lupus Science & Medicine. 8(1). e000495–e000495. 1 indexed citations
16.
Jorge, April, Ronald B. Melles, Yuqing Zhang, et al.. (2018). Hydroxychloroquine prescription trends and predictors for excess dosing per recent ophthalmology guidelines. Arthritis Research & Therapy. 20(1). 133–133. 32 indexed citations
17.
Aranow, Cynthia, Anca Askanase, Molla Huq, et al.. (2018). Laboratory Investigation Results Influence Physician's Global Assessment of Disease Activity in Systemic Lupus Erythematosus. Arthritis & Rheumatism. 70.
18.
Hui‐Yuen, Joyce, Jennifer Taylor, Xiaoqing Li, et al.. (2015). Safety and Efficacy of Belimumab to Treat Systemic Lupus Erythematosus in Academic Clinical Practices. The Journal of Rheumatology. 42(12). 2288–2295. 75 indexed citations
19.
Lee, Lela A., et al.. (2002). Long‐term followup of children with neonatal lupus and their unaffected siblings. Arthritis & Rheumatism. 46(9). 2377–2383. 87 indexed citations
20.
Miranda‐Carús, María‐Eugenia, Anca Askanase, Robert M. Clancy, et al.. (2000). Anti-SSA/Ro and Anti-SSB/La Autoantibodies Bind the Surface of Apoptotic Fetal Cardiocytes and Promote Secretion of TNF-α by Macrophages. The Journal of Immunology. 165(9). 5345–5351. 143 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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