Max Hamaker

1.5k citations
9 papers · 1.2k · 1 hit paper · h-index 6

Impact in

Papers in

    • Acute Myeloid Leukemia Research 3
    • Chronic Myeloid Leukemia Treatments 2
    • Cancer, Hypoxia, and Metabolism 3

Max Hamaker

8 papers receiving 1.2k citations

Max Hamaker's Hit Papers

Glucose-Independent Glutamine Metabolism via TCA Cycling for Proliferation and Survival in B Cells 2012 · 939 citations
9390+4+9Years since publication250500750

Peers

Max Hamaker
Comparison fields: 5 of 82
  • Cancer Research 740
  • Biochemistry 95
  • Molecular Biology 784
  • Biotechnology 70
  • Immunology 112
Replace Raymond G. Dematteo with:
Raymond G. Dematteo United States
Zachary R. Johnson United States
Chiara Balestrieri Italy
Margaret E. Torrence United States
Martina Bajzíková Australia
Mirna L.M. Rodriguez United States
Xiuying Zhong China
Thai Q. Tran United States
Nina Gustafsson Sweden
Senthil Raja Jayapal Singapore
Max Hamaker relative to Raymond G. Dematteo United States Raymond G. Dematteo's profile →
Citations per field
00.5×1.6×
Raymond G. Dematteo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Max Hamaker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Max Hamaker Line = papers co-authored together Max Hamaker links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Glucose-Independent Glutamine Metabolism via TCA Cycling for Proliferation and Survival in B Cells
Hit paper breakdown →
2012939
2 2011156
3 201454
4 201925
5 201622
6 201713
7 20176
8 20145
9 20230

About Max Hamaker

Max Hamaker is a scholar working on Hematology, Cancer Research, Genetics, Cell Biology and Rehabilitation, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Microtubule and mitosis dynamics (2 papers), Mitochondrial Function and Pathology (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Hip and Femur Fractures (1 paper). The work is most often cited by research in Cancer Research (740 citations), Biochemistry (95 citations), Molecular Biology (784 citations), Biotechnology (70 citations) and Immunology (112 citations). Max Hamaker has collaborated with scholars based in United States. Frequent co-authors include Chi V. Dang, Anne T. Le, Arvin M. Gouw, Daniel C. Liebler, Pawel Konrad Lorkiewicz, Andrew N. Lane, Teresa W.‐M. Fan, Robbert J.C. Slebos, Haixia Zhang and Joseph J. Barbi. Their work appears in journals such as The Journal Of Hand Surgery, Haematologica, Cell Metabolism, Journal of Molecular Medicine and Leukemia.

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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