Leonid Dubrovsky

2.7k total citations · 1 hit paper
29 papers, 1.6k citations indexed

About

Leonid Dubrovsky is a scholar working on Hepatology, Oncology and Molecular Biology. According to data from OpenAlex, Leonid Dubrovsky has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hepatology, 16 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Leonid Dubrovsky's work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Cancer Immunotherapy and Biomarkers (7 papers) and CAR-T cell therapy research (6 papers). Leonid Dubrovsky is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Cancer Immunotherapy and Biomarkers (7 papers) and CAR-T cell therapy research (6 papers). Leonid Dubrovsky collaborates with scholars based in United States, Japan and France. Leonid Dubrovsky's co-authors include Josep M. Llovet, Masatoshi Kudo, Richard S. Finn, Kalgi Mody, Andrew X. Zhu, Shuichi Kaneko, Corina E. Dutcus, Abby B. Siegel, Tim Meyer and Masafumi Ikeda and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Blood.

In The Last Decade

Leonid Dubrovsky

29 papers receiving 1.6k citations

Hit Papers

Phase Ib Study of Lenvati... 2020 2026 2022 2024 2020 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
Leonid Dubrovsky United States 12 858 828 399 362 294 29 1.6k
Jaclyn Neely United States 18 1.2k 1.4× 1.3k 1.6× 587 1.5× 417 1.2× 178 0.6× 42 2.1k
Todd S. Crocenzi United States 23 645 0.8× 1.6k 2.0× 623 1.6× 354 1.0× 269 0.9× 59 2.3k
Jessica Spahn United States 17 446 0.5× 503 0.6× 351 0.9× 150 0.4× 166 0.6× 27 1.1k
Nancy Kemeny United States 20 526 0.6× 1.8k 2.2× 144 0.4× 163 0.5× 578 2.0× 32 2.4k
Christoph Mancao United States 15 131 0.2× 867 1.0× 312 0.8× 396 1.1× 165 0.6× 42 1.2k
John A. Conti United Kingdom 14 675 0.8× 1.1k 1.3× 72 0.2× 126 0.3× 189 0.6× 25 1.6k
Maria Grazia Diodoro Italy 20 167 0.2× 436 0.5× 196 0.5× 115 0.3× 367 1.2× 41 1.1k
Chin‐Tung Chen United States 12 250 0.3× 574 0.7× 98 0.2× 184 0.5× 387 1.3× 24 988
Robert Königsberg Austria 16 354 0.4× 676 0.8× 47 0.1× 220 0.6× 536 1.8× 31 1.5k
Liyun Lai Singapore 9 243 0.3× 449 0.5× 396 1.0× 63 0.2× 233 0.8× 11 871

Countries citing papers authored by Leonid Dubrovsky

Since Specialization
Citations

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

Fields of papers citing papers by Leonid Dubrovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonid Dubrovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Leonid Dubrovsky. A scholar is included among the top collaborators of Leonid Dubrovsky 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 Leonid Dubrovsky. Leonid Dubrovsky 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
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Kudo, Masatoshi, Richard S. Finn, Masafumi Ikeda, et al.. (2023). A Phase 1b Study of Lenvatinib plus Pembrolizumab in Patients with Unresectable Hepatocellular Carcinoma: Extended Analysis of Study 116. Liver Cancer. 13(4). 451–458. 3 indexed citations
5.
Llovet, Josep M., Arndt Vogel, David C. Madoff, et al.. (2022). Randomized Phase 3 LEAP-012 Study: Transarterial Chemoembolization With or Without Lenvatinib Plus Pembrolizumab for Intermediate-Stage Hepatocellular Carcinoma Not Amenable to Curative Treatment. CardioVascular and Interventional Radiology. 45(4). 405–412. 68 indexed citations
6.
El-Khoueiry, Anthony B., Josep M. Llovet, Arndt Vogel, et al.. (2022). LEAP-012 trial in progress: Transarterial chemoembolization (TACE) with or without lenvatinib plus pembrolizumab for intermediate-stage hepatocellular carcinoma (HCC). Journal of Clinical Oncology. 40(4_suppl). TPS494–TPS494. 5 indexed citations
7.
Kudo, Masatoshi, Richard S. Finn, Masafumi Ikeda, et al.. (2021). 68P A phase Ib study of lenvatinib + pembrolizumab (LEN + PEMBRO) in patients (pts) with unresectable hepatocellular carcinoma (uHCC): Study 116 follow-up analysis. Annals of Oncology. 32. S1401–S1402. 1 indexed citations
10.
Finn, Richard S., Masafumi Ikeda, Andrew X. Zhu, et al.. (2020). Phase Ib Study of Lenvatinib Plus Pembrolizumab in Patients With Unresectable Hepatocellular Carcinoma. Journal of Clinical Oncology. 38(26). 2960–2970. 850 indexed citations breakdown →
11.
Llovet, Josep M., RS Finn, Masafumi Ikeda, et al.. (2019). A phase Ib trial of lenvatinib (LEN) plus pembrolizumab (PEMBRO) in unresectable hepatocellular carcinoma (uHCC): Updated results. Annals of Oncology. 30. v286–v287. 52 indexed citations
12.
Chang, Aaron Y., Tao Dao, Ron S. Gejman, et al.. (2017). A therapeutic T cell receptor mimic antibody targets tumor-associated PRAME peptide/HLA-I antigens. Journal of Clinical Investigation. 127(7). 2705–2718. 68 indexed citations
13.
Dubrovsky, Leonid, Elliott J. Brea, Dmitry Pankov, et al.. (2016). Mechanisms of leukemia resistance to antibody dependent cellular cytotoxicity. OncoImmunology. 5(9). e1211221–e1211221. 4 indexed citations
14.
Dao, Tao, Dmitry Pankov, Andrew Scott, et al.. (2015). Therapeutic bispecific T-cell engager antibody targeting the intracellular oncoprotein WT1. Nature Biotechnology. 33(10). 1079–1086. 126 indexed citations
15.
Chang, Aaron Y., Tao Dao, Andrew Scott, et al.. (2015). A Therapeutic TCR Mimic Monoclonal Antibody for Intracellular PRAME Protein in Leukemias. Blood. 126(23). 2527–2527. 6 indexed citations
16.
Dubrovsky, Leonid, Tao Dao, Ron S. Gejman, et al.. (2015). T cell receptor mimic antibodies for cancer therapy. OncoImmunology. 5(1). e1049803–e1049803. 36 indexed citations
17.
Veomett, Nicholas, Tao Dao, Hong Liu, et al.. (2014). Therapeutic Efficacy of an Fc-Enhanced TCR-like Antibody to the Intracellular WT1 Oncoprotein. Clinical Cancer Research. 20(15). 4036–4046. 41 indexed citations
18.
Dubrovsky, Leonid, et al.. (2011). Analysis of pediatric autologous PBSC apheresis and transplant: Age is a major factor affecting post‐transplant toxicity. Pediatric Blood & Cancer. 59(2). 301–305. 1 indexed citations
19.
Dubrovsky, Leonid, Edward C.C. Wong, Evelio Perez‐Albuerne, et al.. (2011). CD34+ collection efficiency as a function of blood volumes processed in pediatric autologous peripheral blood stem cell collection. Journal of Clinical Apheresis. 26(3). 131–137. 16 indexed citations
20.
Dubrovsky, Leonid, et al.. (2004). Sequence Context Modulates the Stability of a GxxxG-mediated Transmembrane Helix–Helix Dimer. Journal of Molecular Biology. 341(4). 991–998. 93 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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