Aaron D. Goldberg

7.2k total citations · 1 hit paper
77 papers, 3.3k citations indexed

About

Aaron D. Goldberg is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Aaron D. Goldberg has authored 77 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Hematology, 34 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Aaron D. Goldberg's work include Acute Myeloid Leukemia Research (55 papers), Histone Deacetylase Inhibitors Research (18 papers) and Chronic Myeloid Leukemia Treatments (13 papers). Aaron D. Goldberg is often cited by papers focused on Acute Myeloid Leukemia Research (55 papers), Histone Deacetylase Inhibitors Research (18 papers) and Chronic Myeloid Leukemia Treatments (13 papers). Aaron D. Goldberg collaborates with scholars based in United States, Canada and Germany. Aaron D. Goldberg's co-authors include C. David Allis, Emily Bernstein, Robert F. Padera, Ron Blankstein, Maximilian Stahl, Simon J. Elsaesser, Bahram Razani, Bert W. O’Malley, Martin S. Tallman and Rainer B. Lanz and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Aaron D. Goldberg

69 papers receiving 3.2k citations

Hit Papers

Epigenetics: A Landscape Takes Shape 2007 2026 2013 2019 2007 500 1000 1.5k

Peers

Aaron D. Goldberg
Eun Young Song South Korea
David J. Curtis Australia
Daniela S. Gerhard United States
David Millar United Kingdom
Steven A. Schichman United States
Aaron D. Goldberg
Citations per year, relative to Aaron D. Goldberg Aaron D. Goldberg (= 1×) peers Pierluigi Strippoli

Countries citing papers authored by Aaron D. Goldberg

Since Specialization
Citations

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

Fields of papers citing papers by Aaron D. Goldberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron D. Goldberg. 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 Aaron D. Goldberg. The network helps show where Aaron D. Goldberg may publish in the future.

Co-authorship network of co-authors of Aaron D. Goldberg

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron D. Goldberg. A scholar is included among the top collaborators of Aaron D. Goldberg 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 Aaron D. Goldberg. Aaron D. Goldberg 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.
Chin, Kuo‐Kai, Brian Ball, Yasmin Abaza, et al.. (2025). Outcomes of relapsed or refractory acute myeloid leukemia after menin inhibition failure. Blood Advances. 10(5). 1537–1547.
2.
Derkach, Andriy, Justin C. Wheat, Christopher Famulare, et al.. (2025). AML-1357: Outcomes in Acute Myeloid Leukemia With MECOM Rearrangement (MECOMr-AML) Treated With Hypomethylating Agent Plus Venetoclax. Clinical Lymphoma Myeloma & Leukemia. 25. S503–S503. 1 indexed citations
3.
Chin, Kuo‐Kai, Yannis K. Valtis, Andriy Derkach, et al.. (2024). Intensive chemotherapy after hypomethylating agent and venetoclax in adult acute myeloid leukemia. PubMed. 1(4). 100038–100038. 3 indexed citations
4.
Chin, Kuo‐Kai, Andriy Derkach, Christopher Famulare, et al.. (2024). HMA/VEN treatment modifications and associated outcomes in IDH -mutant AML. Leukemia & lymphoma. 66(2). 270–278.
5.
Shimony, Shai, Jan Philipp Bewersdorf, Rory M. Shallis, et al.. (2024). Hypomethylating agents plus venetoclax compared with intensive induction chemotherapy regimens in molecularly defined secondary AML. Leukemia. 38(4). 762–768. 17 indexed citations
6.
Wang, Eunice S., Aaron D. Goldberg, Martin S. Tallman, et al.. (2024). Crenolanib and Intensive Chemotherapy in Adults With Newly Diagnosed FLT3-Mutated AML. Journal of Clinical Oncology. 42(15). 1776–1787. 22 indexed citations
7.
Ravandi‐Kashani, Farhad, Aaron D. Goldberg, Elie Traer, et al.. (2023). PHASE 1 STUDY OF PRT1419 (MCL1 INHIBITOR) AS MONOTHERAPY OR IN COMBINATION WITH AZACITIDINE OR VENETOCLAX IN PATIENTS WITH RELAPSED/REFRACTORY MYELOID OR B‐CELL MALIGNANCIES. Hematological Oncology. 41(S2). 834–835. 2 indexed citations
9.
Robinson, Troy M., Robert L. Bowman, Ying Liu, et al.. (2023). Single-cell genotypic and phenotypic analysis of measurable residual disease in acute myeloid leukemia. Science Advances. 9(38). eadg0488–eadg0488. 24 indexed citations
10.
Badar, Talha, Mark R. Litzow, Rory M. Shallis, et al.. (2022). Disparities in receiving disease‐directed therapy, allogeneic stem cell transplantation in non‐Hispanic Black patients with TP53‐mutated acute myeloid leukemia. Cancer. 129(6). 934–945. 5 indexed citations
11.
Prébet, Thomas, Aaron D. Goldberg, Joseph G. Jurcic, et al.. (2022). A phase 1b study of atezolizumab in combination with guadecitabine for the treatment of acute myeloid leukemia. Leukemia & lymphoma. 63(9). 2180–2188. 6 indexed citations
12.
Stahl, Maximilian, Kamal Menghrajani, Andriy Derkach, et al.. (2021). Clinical and molecular predictors of response and survival following venetoclax therapy in relapsed/refractory AML. Blood Advances. 5(5). 1552–1564. 108 indexed citations
13.
Talati, Chetasi, Aaron D. Goldberg, Amanda Przespolewski, et al.. (2020). Comparison of induction strategies and responses for acute myeloid leukemia patients after resistance to hypomethylating agents for antecedent myeloid malignancy. Leukemia Research. 93. 106367–106367. 13 indexed citations
14.
Smith, Eric L., Sham Mailankody, Mette Stæhr, et al.. (2019). BCMA-Targeted CAR T-cell Therapy plus Radiotherapy for the Treatment of Refractory Myeloma Reveals Potential Synergy. Cancer Immunology Research. 7(7). 1047–1053. 67 indexed citations
15.
Goldberg, Aaron D., Chetasi Talati, Pinkal Desai, et al.. (2018). TP53 Mutations Predict Poorer Responses to CPX-351 in Acute Myeloid Leukemia. Blood. 132(Supplement 1). 1433–1433. 35 indexed citations
16.
Goldberg, Aaron D., Martin S. Tallman, Melhem Solh, et al.. (2017). Results from an Ongoing Phase 1 Study Indicate ACDT-301 (Camidanlumab Tesirine) Is Well-Tolerated in Patients with Relapsed or Refractory CD25-Positive Acute Leukemia. Blood. 130. 2662–2662. 8 indexed citations
17.
Goldberg, Aaron D., Troy Z. Horvat, Meier Hsu, et al.. (2017). Venetoclax Combined with Either a Hypomethylating Agent or Low-Dose Cytarabine Shows Activity in Relapsed and Refractory Myeloid Malignancies. Blood. 130. 1353–1353. 18 indexed citations
18.
Banaszynski, Laura A., Duancheng Wen, Scott Dewell, et al.. (2013). Hira-Dependent Histone H3.3 Deposition Facilitates PRC2 Recruitment at Developmental Loci in ES Cells. Cell. 155(1). 107–120. 209 indexed citations
19.
Goldberg, Aaron D., C. David Allis, & Emily Bernstein. (2007). Epigenetics: A Landscape Takes Shape. Cell. 128(4). 635–638. 1712 indexed citations breakdown →
20.
Yang, Runying, Ali McBride, Yue-xian Hou, Aaron D. Goldberg, & Xiu-Bao Chang. (2005). Nucleotide dissociation from NBD1 promotes solute transport by MRP1. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1668(2). 248–261. 19 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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