Jonathan Canaani

2.0k total citations
65 papers, 978 citations indexed

About

Jonathan Canaani is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Jonathan Canaani has authored 65 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Hematology, 18 papers in Molecular Biology and 16 papers in Genetics. Recurrent topics in Jonathan Canaani's work include Acute Myeloid Leukemia Research (39 papers), Hematopoietic Stem Cell Transplantation (26 papers) and Acute Lymphoblastic Leukemia research (16 papers). Jonathan Canaani is often cited by papers focused on Acute Myeloid Leukemia Research (39 papers), Hematopoietic Stem Cell Transplantation (26 papers) and Acute Lymphoblastic Leukemia research (16 papers). Jonathan Canaani collaborates with scholars based in Israel, United States and France. Jonathan Canaani's co-authors include Arnon Nagler, Myriam Labopin, Mohamad Mohty, Tsvee Lapidot, Órit Kollet, Shiri Gur‐Cohen, Alexander Kalinkovich, Didier Blaise, Bipin N. Savani and Fabio Ciceri and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jonathan Canaani

60 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Canaani Israel 19 669 262 261 198 169 65 978
Guopan Yu China 14 428 0.6× 214 0.8× 100 0.4× 130 0.7× 63 0.4× 69 763
James R. Mason United States 13 388 0.6× 285 1.1× 94 0.4× 349 1.8× 286 1.7× 46 1.0k
Satkiran S. Grewal United States 12 342 0.5× 368 1.4× 149 0.6× 243 1.2× 216 1.3× 16 1.2k
Lucio Morabito Italy 14 278 0.4× 177 0.7× 90 0.3× 201 1.0× 183 1.1× 35 735
Christina Orsmark‐Pietras Sweden 14 211 0.3× 253 1.0× 169 0.6× 83 0.4× 181 1.1× 26 767
Idoia Martín‐Guerrero Spain 20 174 0.3× 456 1.7× 364 1.4× 260 1.3× 56 0.3× 56 1.0k
Shuhong Wang China 16 170 0.3× 367 1.4× 48 0.2× 211 1.1× 171 1.0× 66 899
Puneet Agarwal United States 15 481 0.7× 383 1.5× 25 0.1× 198 1.0× 232 1.4× 27 1.1k
Chun‐Ming Pan China 16 355 0.5× 656 2.5× 61 0.2× 46 0.2× 100 0.6× 33 1.1k
Fu‐Sheng Chou United States 19 295 0.4× 519 2.0× 28 0.1× 135 0.7× 116 0.7× 59 945

Countries citing papers authored by Jonathan Canaani

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Canaani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Canaani

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Canaani. A scholar is included among the top collaborators of Jonathan Canaani 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 Jonathan Canaani. Jonathan Canaani 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.
Roboz, Gail J. & Jonathan Canaani. (2024). How I use maintenance therapy in acute myeloid leukemia. Blood. 145(12). 1273–1281. 1 indexed citations
2.
Jain, Akriti, Madelyn Burkart, Xiaoyue Ma, et al.. (2024). Assessing Role of Comorbidities in Treatment Selection for Older Patients with Acute Myeloid Leukemia. Blood. 144(Supplement 1). 2867–2867.
3.
Canaani, Jonathan, Daniel A. Pollyea, Marc Schwartz, et al.. (2023). Venetoclax‐based salvage therapy for adult patients with relapsed/refractory acute lymphoblastic leukemia. European Journal Of Haematology. 111(3). 365–372. 6 indexed citations
4.
Miller, Liron, et al.. (2023). Defining Current Patterns of Blood Product Use during Intensive Induction Chemotherapy in Newly Diagnosed Acute Myeloid Leukemia Patients. Transfusion Medicine and Hemotherapy. 50(5). 456–468. 1 indexed citations
5.
Nagler, Arnon, Myriam Labopin, Xiao‐Jun Huang, et al.. (2022). Non-T depleted haploidentical stem cell transplantation in AML patients achieving first complete remission after one versus two induction courses: a study from the ALWP/EBMT. Bone Marrow Transplantation. 57(4). 572–578. 4 indexed citations
6.
Wolach, Ofir, Keren Shichrur, Idan Goldberg, et al.. (2022). Evaluating outcomes of adult patients with acute lymphoblastic leukemia and lymphoblastic lymphoma treated on the GMALL 07/2003 protocol. Annals of Hematology. 101(3). 581–593. 4 indexed citations
7.
Schwartz, Daniel, Abraham Avigdor, Galia Rahav, et al.. (2022). Evaluation of the clinical impact of bone marrow cultures in current medical practice. Scientific Reports. 12(1). 9664–9664.
8.
Shimony, Shai, Jonathan Canaani, Boaz Nachmias, et al.. (2022). Gilteritinib monotherapy for relapsed/refractory FLT3 mutated acute myeloid leukemia: a real-world, multi-center, matched analysis. Annals of Hematology. 101(9). 2001–2010. 10 indexed citations
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Nagler, Arnon, Myriam Labopin, Bhagirathbhai Dholaria, et al.. (2020). Comparison of Haploidentical Bone Marrow versus Matched Unrelated Donor Peripheral Blood Stem Cell Transplantation with Posttransplant Cyclophosphamide in Patients with Acute Leukemia. Clinical Cancer Research. 27(3). 843–851. 26 indexed citations
12.
Yassin, Muhammad, Peter van Galen, B Bernstein, et al.. (2019). A novel method for detecting the cellular stemness state in normal and leukemic human hematopoietic cells can predict disease outcome and drug sensitivity. Leukemia. 33(8). 2061–2077. 10 indexed citations
13.
Canaani, Jonathan. (2019). Management of AML Beyond “3 + 7” in 2019. SHILAP Revista de lepidopterología. 1(1). 10–10. 8 indexed citations
14.
Beider, Katia, Hila Magen, Jonathan Canaani, et al.. (2019). The mTOR inhibitor everolimus overcomes CXCR4-mediated resistance to histone deacetylase inhibitor panobinostat through inhibition of p21 and mitotic regulators. Biochemical Pharmacology. 168. 412–428. 14 indexed citations
15.
Sheth, Vipul, Myriam Labopin, Jonathan Canaani, et al.. (2018). Comparison of FLAMSA-based reduced intensity conditioning with treosulfan/fludarabine conditioning for patients with acute myeloid leukemia: an ALWP/EBMT analysis. Bone Marrow Transplantation. 54(4). 531–539. 15 indexed citations
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Canaani, Jonathan, Rony Braunstein, Chava Perry, et al.. (2012). Predictive Parameters for a Diagnostic Bone Marrow Biopsy Specimen in the Work-Up of Fever of Unknown Origin. Mayo Clinic Proceedings. 87(2). 136–142. 21 indexed citations
19.
Maharshak, Nitsan, Shani Shenhar‐Tsarfaty, Jonathan Canaani, et al.. (2012). MicroRNA-132 Modulates Cholinergic Signaling and Inflammation in Human Inflammatory Bowel Disease. Inflammatory Bowel Diseases. 18. S105–S106. 1 indexed citations
20.
Canaani, Jonathan. (2011). Neural regulation of bone, marrow, and the microenvironment. Frontiers in Bioscience-Scholar. S3(1). 1021–1021. 8 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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