Max Hamaker

1.4k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Max Hamaker is a scholar working on Surgery, Molecular Biology and Hematology. According to data from OpenAlex, Max Hamaker has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Hematology. Recurrent topics in Max Hamaker's work include Acute Myeloid Leukemia Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Mitochondrial Function and Pathology (2 papers). Max Hamaker is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Mitochondrial Function and Pathology (2 papers). Max Hamaker collaborates with scholars based in United States. Max Hamaker's co-authors include Anne Le, Chi V. Dang, Arvin M. Gouw, Lisa J. Zimmerman, Barbara S. Slusher, Pawel Lorkiewicz, Robbert J.C. Slebos, Joseph Barbi, Takashi Tsukamoto and Sminu Bose and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Cell Metabolism.

In The Last Decade

Max Hamaker

8 papers receiving 1.1k citations

Hit Papers

Glucose-Independent Glutamine Metabolism via TCA Cycling ... 2012 2026 2016 2021 2012 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
Max Hamaker United States 6 795 721 117 111 99 9 1.1k
Sminu Bose United States 6 849 1.1× 748 1.0× 142 1.2× 179 1.6× 88 0.9× 14 1.2k
Brian P. Fiske United States 10 873 1.1× 501 0.7× 80 0.7× 97 0.9× 103 1.0× 15 1.1k
Thai Q. Tran United States 14 732 0.9× 646 0.9× 125 1.1× 247 2.2× 91 0.9× 18 1.1k
Xazmin H. Lowman United States 16 904 1.1× 727 1.0× 153 1.3× 283 2.5× 92 0.9× 18 1.3k
Ibtissam Marchiq France 12 939 1.2× 756 1.0× 149 1.3× 198 1.8× 89 0.9× 16 1.3k
Xiuying Zhong China 13 814 1.0× 564 0.8× 57 0.5× 96 0.9× 78 0.8× 16 1.1k
Chiara Balestrieri Italy 11 738 0.9× 496 0.7× 153 1.3× 253 2.3× 62 0.6× 19 1.1k
Sharanya Sivanand United States 12 1.1k 1.4× 758 1.1× 151 1.3× 225 2.0× 95 1.0× 13 1.6k
Lingtao Jin United States 15 831 1.0× 550 0.8× 105 0.9× 222 2.0× 54 0.5× 25 1.2k
Niantao Deng Australia 18 968 1.2× 676 0.9× 140 1.2× 329 3.0× 143 1.4× 29 1.5k

Countries citing papers authored by Max Hamaker

Since Specialization
Citations

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

Fields of papers citing papers by Max Hamaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Hamaker

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

All Works

9 of 9 papers shown
2.
Wu, Min, Li Li, Max Hamaker, Donald Small, & Amy S. Duffield. (2019). FLT3-ITD cooperates with Rac1 to modulate the sensitivity of leukemic cells to chemotherapeutic agents via regulation of DNA repair pathways. Haematologica. 104(12). 2418–2428. 21 indexed citations
3.
Hamaker, Max, Amy Zheng, W. Andrew Eglseder, & Raymond A. Pensy. (2017). The Adult Monteggia Fracture: Patterns and Incidence of Annular Ligament Incarceration Among 121 Cases at a Single Institution Over 19 Years. The Journal Of Hand Surgery. 43(1). 85.e1–85.e6. 13 indexed citations
4.
Hamaker, Max, Nathan N. O’Hara, W. Andrew Eglseder, et al.. (2017). Radiographic predictors of symptomatic screw removal after retrograde femoral nail insertion. Injury. 48(3). 758–762. 5 indexed citations
5.
Wu, Min, et al.. (2016). DOCK2 interacts with FLT3 and modulates the survival of FLT3-expressing leukemia cells. Leukemia. 31(3). 688–696. 19 indexed citations
6.
Le, Anne, Zachary E. Stine, Christopher Nguyen, et al.. (2014). Tumorigenicity of hypoxic respiring cancer cells revealed by a hypoxia–cell cycle dual reporter. Proceedings of the National Academy of Sciences. 111(34). 12486–12491. 50 indexed citations
7.
Wu, Min, Max Hamaker, Li Li, Donald Small, & Amy S. Duffield. (2014). DOCK2 Interacts with FLT3 and Modulates the Survival of FLT3-Expressing Leukemia Cells. Blood. 124(21). 3584–3584. 4 indexed citations
8.
Le, Anne, Andrew N. Lane, Max Hamaker, et al.. (2012). Glucose-Independent Glutamine Metabolism via TCA Cycling for Proliferation and Survival in B Cells. Cell Metabolism. 15(1). 110–121. 886 indexed citations breakdown →
9.
Dang, Chi V., Max Hamaker, Peng Sun, Anne Le, & Ping Gao. (2011). Therapeutic targeting of cancer cell metabolism. Journal of Molecular Medicine. 89(3). 205–212. 145 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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