Ada Azaryan

565 total citations · 1 hit paper
8 papers, 341 citations indexed

About

Ada Azaryan is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Ada Azaryan has authored 8 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Ada Azaryan's work include Chronic Lymphocytic Leukemia Research (3 papers), CAR-T cell therapy research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Ada Azaryan is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), CAR-T cell therapy research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Ada Azaryan collaborates with scholars based in United States, United Kingdom and Netherlands. Ada Azaryan's co-authors include Kim Linton, Roberto S Oliveri, Martin Hutchings, Tahamtan Ahmadi, Michael Roost Clausen, Martine E.D. Chamuleau, Pieternella J. Lugtenburg, Dena DeMarco, Rogier Mous and Peter Johnson and has published in prestigious journals such as The Lancet, Blood and Annals of the Rheumatic Diseases.

In The Last Decade

Ada Azaryan

8 papers receiving 334 citations

Hit Papers

Dose escalation of subcutaneous epcoritamab in patients w... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ada Azaryan United States 6 231 216 122 75 69 8 341
Huang Huang Canada 8 343 1.5× 245 1.1× 69 0.6× 93 1.2× 126 1.8× 14 413
Yuqin Song China 10 206 0.9× 231 1.1× 202 1.7× 108 1.4× 36 0.5× 65 443
Nicole Adrian Germany 8 323 1.4× 192 0.9× 66 0.5× 131 1.7× 111 1.6× 10 428
Yajuan Qin United States 5 398 1.7× 289 1.3× 85 0.7× 72 1.0× 120 1.7× 8 448
Sylvia Snauwaert Belgium 10 182 0.8× 129 0.6× 55 0.5× 108 1.4× 28 0.4× 34 324
Maren Dirnberger‐Hertweck Germany 9 464 2.0× 441 2.0× 156 1.3× 163 2.2× 94 1.4× 16 615
Bishan Ye United States 5 165 0.7× 234 1.1× 161 1.3× 70 0.9× 17 0.2× 7 324
J. Kaitlin Morrison United States 8 230 1.0× 254 1.2× 134 1.1× 37 0.5× 19 0.3× 17 380
Naseer Qayum United Kingdom 11 247 1.1× 174 0.8× 51 0.4× 26 0.3× 87 1.3× 21 358
Rodica Morariu-Zamfir United States 8 232 1.0× 110 0.5× 104 0.9× 96 1.3× 127 1.8× 15 385

Countries citing papers authored by Ada Azaryan

Since Specialization
Citations

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

Fields of papers citing papers by Ada Azaryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ada Azaryan

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

All Works

8 of 8 papers shown
1.
Hutchings, Martin, Rogier Mous, Michael Roost Clausen, et al.. (2021). Dose escalation of subcutaneous epcoritamab in patients with relapsed or refractory B-cell non-Hodgkin lymphoma: an open-label, phase 1/2 study. The Lancet. 398(10306). 1157–1169. 212 indexed citations breakdown →
2.
Schäfer, Peter, Alan Kivitz, Jianglin Ma, et al.. (2019). Spebrutinib (CC-292) Affects Markers of B Cell Activation, Chemotaxis, and Osteoclasts in Patients with Rheumatoid Arthritis: Results from a Mechanistic Study. Rheumatology and Therapy. 7(1). 101–119. 45 indexed citations
3.
Lugtenburg, Pieternella J., Rogier Mous, Michael Roost Clausen, et al.. (2019). First-in-Human, Phase 1/2 Trial to Assess the Safety and Clinical Activity of Subcutaneous GEN3013 (DuoBody®-CD3×CD20) in B-Cell Non-Hodgkin Lymphomas. Blood. 134(Supplement_1). 758–758. 16 indexed citations
4.
Greenberg, Steven, Gerald Horan, Brydon L. Bennett, et al.. (2017). Late Breaking Abstract - Evaluation of the JNK inhibitor, CC-90001, in a phase 1b pulmonary fibrosis trial. OA474–OA474. 6 indexed citations
5.
Werth, V., et al.. (2017). SAT0255 A randomized, placebo-controlled, double-blind, ascending-dose, safety study of CC-220 in subjects with systemic lupus erythematosus. Annals of the Rheumatic Diseases. 76. 870–871. 5 indexed citations
6.
Brown, Jennifer R., Wael A. Harb, Brian T. Hill, et al.. (2013). Phase 1 Study Of Single Agent CC-292, a Highly Selective Bruton's Tyrosine Kinase (BTK) Inhibitor, In Relapsed/Refractory Chronic Lymphocytic Leukemia (CLL). Blood. 122(21). 1630–1630. 39 indexed citations
7.
Ruklisa, Dace, et al.. (2012). Melanoma epidemiology, prognosis and trends in Latvia. Journal of the European Academy of Dermatology and Venereology. 27(11). 1352–1359. 14 indexed citations
8.
Hook, Vivian, Yuan‐Hsu Kang, Martin R. Schiller, et al.. (1998). Prohormone thiol protease' (PTP) a novel cysteine protein for proenkephalin and prohormone processing" in Proteolytic and cellular mechanisms in prohormone and proprotein processing. Digital Scholarship - UNLV (University of Nevada Reno). 89. 4 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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