Eric Hampton

3.1k citations
17 papers · 1.6k · h-index 13

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immune Cell Function and Interaction

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Ubiquitin and proteasome pathways 2
    • Phosphodiesterase function and regulation 2
    • Protein Degradation and Inhibitors 2
    • CAR-T cell therapy research 8

Eric Hampton

17 papers receiving 1.5k citations

Peers

Eric Hampton
Comparison fields: 5 of 86
  • Oncology 756
  • Immunology 252
  • Surgery 421
  • Molecular Biology 602
  • Biomedical Engineering 338
Replace Lizong Shen with:
Lizong Shen China
Bingbing Dai United States
Femke Heindryckx Sweden
Christopher J. Halbrook United States
Karsten Parczyk Germany
Mariko Kawakami United States
Xianjie Jiang China
Tomasz Cichoń Poland
Lijun Di China
Lawrence A. Vernetti United States
Eric Hampton relative to Lizong Shen China Lizong Shen's profile →
Citations per field
00.5×5.5×
Lizong Shen · 1×
Citations per year

Countries citing papers authored by Eric Hampton

Since Specialization
Citations

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

Fields of papers citing papers by Eric Hampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2006439
2 2016327
3 2007130
4 2007126
5 2018124
6 2016106
7 201874
8 202165
9 201761
10 201644
11 202028
12 202123
13 200912
14 20168
15 20097
16 20172
17 20171

About Eric Hampton

Eric Hampton is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Genetics and Surgery, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Nanowire Synthesis and Applications (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Virus-based gene therapy research (3 papers), Ubiquitin and proteasome pathways (2 papers), Phosphodiesterase function and regulation (2 papers), Protein Degradation and Inhibitors (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Oncology (756 citations), Immunology (252 citations), Surgery (421 citations), Molecular Biology (602 citations) and Biomedical Engineering (338 citations). Eric Hampton has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Travis S. Young, Puiying A. Mak, Cristina Godio, Andreas Kreusch, Nico Mitro, Enrique Sáez, Valentina Molteni, David T. Rodgers, Scott A. Lesley and Jennifer L. Harris. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACS Chemical Biology, Molecular Therapy, Analytical Biochemistry and Journal of Bacteriology.

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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