Mitchell Vamos

1.2k citations
11 papers · 936 · 1 hit paper · h-index 8

Impact in

  • Physiology top 2%
    • Calcium signaling and nucleotide metabolism
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • Cell death mechanisms and regulation 3
    • ATP Synthase and ATPases Research 1
    • Asymmetric Synthesis and Catalysis 2
    • Synthetic Organic Chemistry Methods 2

Mitchell Vamos

11 papers receiving 923 citations

Mitchell Vamos's Hit Papers

Small Molecule Inhibition of the Autophagy Kinase ULK1 and Identification of ULK1 Substrates 2015 · 585 citations
5850+3+7Years since publication100200300400500

Peers

Mitchell Vamos
Comparison fields: 5 of 66
  • Physiology 124
  • Virology 104
  • Epidemiology 523
  • Cell Biology 133
  • Geriatrics and Gerontology 23
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Shukie Ng Singapore
Selvakumar Anbalagan United Kingdom
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Pál I. Bauer United States
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Mitchell Vamos relative to Peter Pyrko United States Peter Pyrko's profile →
Citations per field
00.5×
Peter Pyrko · 1×
Citations per year

Countries citing papers authored by Mitchell Vamos

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Vamos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Small Molecule Inhibition of the Autophagy Kinase ULK1 and Identification of ULK1 Substrates
Hit paper breakdown →
2015585
2 2015110
3 201449
4 201347
5 202042
6 201233
7 201328
8 201426
9 20087
10 20095
11 20074

About Mitchell Vamos

Mitchell Vamos is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Epidemiology and Immunology, having authored 11 papers that have together received 936 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), Asymmetric Synthesis and Catalysis (2 papers), Synthetic Organic Chemistry Methods (2 papers), Autophagy in Disease and Therapy (2 papers), PARP inhibition in cancer therapy (2 papers), ATP Synthase and ATPases Research (1 paper), NF-κB Signaling Pathways (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Physiology (124 citations), Virology (104 citations), Epidemiology (523 citations), Cell Biology (133 citations) and Geriatrics and Gerontology (23 citations). Mitchell Vamos has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Nicholas D. P. Cosford, Peter Teriete, Douglas J. Sheffler, Reuben J. Shaw, Juan Rong, Chad J. Miller, Hua Jane Lou, Matthew G. H. Chun, Haixia Zou and Raveendra-Panickar Dhanya. Their work appears in journals such as The Journal of Organic Chemistry, ACS Chemical Biology, Molecular Cancer Therapeutics, Bioorganic & Medicinal Chemistry Letters and Tetrahedron.

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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