Zohar Sachs

823 total citations
36 papers, 383 citations indexed

About

Zohar Sachs is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Zohar Sachs has authored 36 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 20 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Zohar Sachs's work include Acute Myeloid Leukemia Research (18 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Protein Degradation and Inhibitors (6 papers). Zohar Sachs is often cited by papers focused on Acute Myeloid Leukemia Research (18 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Protein Degradation and Inhibitors (6 papers). Zohar Sachs collaborates with scholars based in United States, Singapore and Croatia. Zohar Sachs's co-authors include Do‐Hyung Kim, Clifford M. Csizmar, Wendy K. Nevala, James W. Jakub, Svetomir N. Markovic, Trace Christensen, Tina J. Hieken, David A. Largaespada, Elizabeth L. Courville and Michael A. Linden and has published in prestigious journals such as Blood, Molecular Cell and Journal of Virology.

In The Last Decade

Zohar Sachs

31 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zohar Sachs United States 12 246 138 83 82 73 36 383
Lenka Bešše Switzerland 12 248 1.0× 186 1.3× 121 1.5× 66 0.8× 56 0.8× 39 399
Christopher A.G. Booth United Kingdom 7 252 1.0× 219 1.6× 76 0.9× 104 1.3× 67 0.9× 13 426
Sherif Ibrahim United States 6 328 1.3× 132 1.0× 97 1.2× 88 1.1× 54 0.7× 6 459
Mio Yamamoto‐Sugitani Japan 10 219 0.9× 129 0.9× 94 1.1× 65 0.8× 95 1.3× 18 363
Takahiko Yasuda Japan 12 269 1.1× 131 0.9× 79 1.0× 101 1.2× 93 1.3× 33 465
Luke B. Fletcher United States 8 168 0.7× 121 0.9× 64 0.8× 51 0.6× 61 0.8× 16 328
C Mitsiades United States 7 236 1.0× 97 0.7× 106 1.3× 61 0.7× 53 0.7× 12 344
Garrett W. Rhyasen United States 8 288 1.2× 217 1.6× 91 1.1× 139 1.7× 205 2.8× 11 555
Susana Lisboa Portugal 12 241 1.0× 97 0.7× 93 1.1× 90 1.1× 48 0.7× 25 433
Christopher F. Bassil United States 7 602 2.4× 196 1.4× 121 1.5× 109 1.3× 50 0.7× 11 754

Countries citing papers authored by Zohar Sachs

Since Specialization
Citations

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

Fields of papers citing papers by Zohar Sachs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zohar Sachs

This figure shows the co-authorship network connecting the top 25 collaborators of Zohar Sachs. A scholar is included among the top collaborators of Zohar Sachs 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 Zohar Sachs. Zohar Sachs 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.
Millman, Scott E., Almudena Chaves Perez, Sudha Janaki‐Raman, et al.. (2025). α-Ketoglutarate dehydrogenase is a therapeutic vulnerability in acute myeloid leukemia. Blood. 145(13). 1422–1436. 4 indexed citations
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Antony, Marie Lue, Daniel T. Chang, Jeffrey L. Jensen, et al.. (2023). CD69 marks a subpopulation of acute myeloid leukemia with enhanced colony forming capacity and a unique signaling activation state. Leukemia & lymphoma. 64(7). 1262–1274. 3 indexed citations
5.
Kurata, Morito, Marie Lue Antony, Susan K. Rathe, et al.. (2022). Proliferation and Self-Renewal Are Differentially Sensitive to NRASG12V Oncogene Levels in an Acute Myeloid Leukemia Cell Line. Molecular Cancer Research. 20(11). 1646–1658. 7 indexed citations
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Antony, Marie Lue, et al.. (2021). Proteasome Inhibition Attenuates Self-Renewal in Human Acute Myeloid Leukemia By Targeting NF-Kappa B in Leukemia Stem Cells. Blood. 138(Supplement 1). 3347–3347. 2 indexed citations
8.
Cao, Qing, Zohar Sachs, Angela R. Smith, et al.. (2020). Prognostic factors for clinical outcomes of patients with central nervous system leukemia. Hematology/Oncology and Stem Cell Therapy. 14(3). 240–245. 3 indexed citations
9.
Pitel, Beth A., Neeraj Sharma, Cinthya Zepeda‐Mendoza, et al.. (2020). Clinical Value of Next Generation Sequencing in the Detection of Recurring Structural Rearrangements and Copy Number Abnormalities in Acute Myeloid Leukemia. Blood. 136(Supplement 1). 21–22. 1 indexed citations
10.
Dickey, Deborah M., Vinh Nguyen, Sarah J. Parker, et al.. (2019). Multiomic Profiling of Tyrosine Kinase Inhibitor-Resistant K562 Cells Suggests Metabolic Reprogramming To Promote Cell Survival. Journal of Proteome Research. 18(4). 1842–1856. 18 indexed citations
11.
Caycı, Zuzan, Kerem Öztürk, Celalettin Üstün, et al.. (2019). Sarcoid-like Histiocytic Proliferations in Patients With Lymphoma Can Be FDG-avid Concerning for Refractory or Recurrent Disease. Clinical Lymphoma Myeloma & Leukemia. 19(11). e597–e601. 2 indexed citations
12.
Jakub, James W., Wendy K. Nevala, Trace Christensen, et al.. (2017). Human Melanoma-Derived Extracellular Vesicles Regulate Dendritic Cell Maturation. Frontiers in Immunology. 8. 358–358. 68 indexed citations
13.
Baughn, Linda B., et al.. (2017). Buccal epithelial cells display somatic, bone marrow–derived CALR mutation. Blood Advances. 1(25). 2302–2306. 3 indexed citations
14.
Sachs, Zohar, Hoa Nguyen, Craig E. Eckfeldt, et al.. (2016). Stat5 is critical for the development and maintenance of myeloproliferative neoplasm initiated by Nf1 deficiency. Haematologica. 101(10). 1190–1199. 12 indexed citations
15.
Csizmar, Clifford M., Do‐Hyung Kim, & Zohar Sachs. (2016). The role of the proteasome in AML. Blood Cancer Journal. 6(12). e503–e503. 41 indexed citations
16.
Kim, Kwan‐Hyun, Barbara R. Tschida, Zohar Sachs, et al.. (2016). mTORC1 Coordinates Protein Synthesis and Immunoproteasome Formation via PRAS40 to Prevent Accumulation of Protein Stress. Molecular Cell. 61(4). 625–639. 56 indexed citations
17.
Sachs, Zohar, Todd E. DeFor, Leyla Shune, et al.. (2015). Novel disease burden assessment predicts allogeneic transplantation outcomes in myelodysplastic syndrome. Bone Marrow Transplantation. 51(2). 199–204. 4 indexed citations
18.
Üstün, Celalettin, Zohar Sachs, Todd E. DeFor, et al.. (2015). Monosomal Karyotype at the Time of Diagnosis or Transplantation Predicts Outcomes of Allogeneic Hematopoietic Cell Transplantation in Myelodysplastic Syndrome. Biology of Blood and Marrow Transplantation. 21(5). 866–872. 12 indexed citations
19.
Stessman, Holly A.F., Sagar S. Patel, Zohar Sachs, et al.. (2014). Utilization of Translational Bioinformatics to Identify Novel Biomarkers of Bortezomib Resistance in Multiple Myeloma. Journal of Cancer. 5(9). 720–727. 15 indexed citations
20.
Sachs, Zohar, Norman E. Sharpless, Ronald A. DePinho, & Naomi Rosenberg. (2004). p16 Ink4a Interferes with Abelson Virus Transformation by Enhancing Apoptosis. Journal of Virology. 78(7). 3304–3311. 7 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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