Sheldon Mink

648 citations
11 papers · 502 · h-index 5

Impact in

  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions
    • Peptidase Inhibition and Analysis
    • HER2/EGFR in Cancer Research
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 4
    • Ubiquitin and proteasome pathways 1
    • Cancer therapeutics and mechanisms 1

Sheldon Mink

9 papers receiving 489 citations

Peers

Sheldon Mink
Comparison fields: 5 of 62
  • Oncology 243
  • Immunology 194
  • Cancer Research 106
  • Molecular Biology 260
  • Parasitology 12
Replace Junhong Guan with:
Junhong Guan China
Thea Kristin Våtsveen Norway
Taro Tobo Japan
Alena Malyukova Sweden
Kanako Kuniyoshi Japan
Marit M. Melssen United States
Aleksandra Bankovacki Australia
Elisabeth Sievers Germany
Paula M. Hempen United States
Alessandra De Leo United States
Sheldon Mink relative to Junhong Guan China Junhong Guan's profile →
Citations per field
00.5×1.5×
Junhong Guan · 1×
Citations per year

Countries citing papers authored by Sheldon Mink

Since Specialization
Citations

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

Fields of papers citing papers by Sheldon Mink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2004215
2 2007134
3 201073
4 201057
5 201012
6 20254
7 20244
8 20232
9 20241
10 20250
11 20250

About Sheldon Mink

Sheldon Mink is a scholar working on Molecular Biology, Oncology, Genetics, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 11 papers that have together received 502 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Viral Infections and Immunology Research (2 papers), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper), NF-κB Signaling Pathways (1 paper), Cancer therapeutics and mechanisms (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Oncology (243 citations), Immunology (194 citations), Cancer Research (106 citations), Molecular Biology (260 citations) and Parasitology (12 citations). Sheldon Mink has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Ke Shuai, Hong Wu, Kelly A. Wong, Paul W. Dempsey, Bin Liu, Natalie Stein, David B. Agus, Anjali Jain, Amanda Hodge and Wenxuan Zhang. Their work appears in journals such as Molecular Cancer Research, Separation and Purification Technology, Journal of the American Society for Mass Spectrometry, Biotechnology and Bioengineering and Cell.

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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