David E. Muench

2.1k citations
22 papers · 1.4k · 1 hit paper · h-index 14

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • RNA Interference and Gene Delivery 2
    • Acute Myeloid Leukemia Research 4
    • Hematopoietic Stem Cell Transplantation 3

David E. Muench

21 papers receiving 1.4k citations

David E. Muench's Hit Papers

c-Myc and Cancer Metabolism 2012 · 674 citations
6740+4+9Years since publication200400600

Peers

David E. Muench
Comparison fields: 5 of 91
  • Cancer Research 321
  • Hematology 186
  • Immunology 344
  • Molecular Biology 778
  • Oncology 256
Replace Walden Ai with:
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Daniela S. Daniela Sanchez Bassères Brazil
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David E. Muench relative to Walden Ai United States Walden Ai's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by David E. Muench

Since Specialization
Citations

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

Fields of papers citing papers by David E. Muench

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Muench. 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 David E. Muench. The network helps show where David E. Muench may publish in the future.

Co-authors

The 25 scholars most cited alongside David E. Muench, 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 David E. Muench Line = papers co-authored together David E. Muench links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
c-Myc and Cancer Metabolism
Hit paper breakdown →
2012674
2 2017279
3 201672
4 201761
5 201455
6 201850
7 201738
8 201132
9 201929
10 202228
11 201824
12 201821
13 202018
14 201915
15 202212
16 201911
17 19853
18 20183
19 20161
20 20151

About David E. Muench

David E. Muench is a scholar working on Molecular Biology, Hematology, Immunology, Genetics and Genetics, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Blood disorders and treatments (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Immune cells in cancer (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cancer Research (321 citations), Hematology (186 citations), Immunology (344 citations), Molecular Biology (778 citations) and Oncology (256 citations). David E. Muench has collaborated with scholars based in United States, Canada and Thailand. Frequent co-authors include Shelia D. Thomas, Donald M. Miller, Ashraful Islam, Kara C. Sedoris, H. Leighton Grimes, Nathan Salomonis, André Olsson, Helen S. Goodridge, Simon G. Coetzee and Benjamin P. Berman. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Molecular Cancer Therapeutics, Clinical Cancer Research and The Journal of Immunology.

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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