Renée Moore

1.6k citations
10 papers · 817 · 1 hit paper · h-index 9

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

Renée Moore

10 papers receiving 800 citations

Renée Moore's Hit Papers

Multiplexed quantification of proteins and transcripts in single cells 2017 · 609 citations
6090+3+6Years since publication200400600

Peers

Renée Moore
Comparison fields: 5 of 58
  • Biophysics 83
  • Immunology 212
  • Molecular Biology 669
  • Cancer Research 97
  • Radiology, Nuclear Medicine and Imaging 146
Replace Christian Schmees with:
Christian Schmees Germany
Seshi R. Sompuram United States
Marilda Beqiri United States
Elena Ortíz-Zapater United Kingdom
Jerelyn Wong United States
Teresa Ramirez‐Montagut United States
Kodela Vani United States
Sonja Offner Germany
Yingming Li United States
Chun Tu United States
Renée Moore relative to Christian Schmees Germany Christian Schmees's profile →
Citations per field
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Christian Schmees · 1×
Citations per year

Countries citing papers authored by Renée Moore

Since Specialization
Citations

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

Fields of papers citing papers by Renée Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Multiplexed quantification of proteins and transcripts in single cells
Hit paper breakdown →
2017609
2 200975
3 201326
4 201023
5 201319
6 201017
7 201116
8 201214
9 202213
10 20155

About Renée Moore

Renée Moore is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 817 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Protein purification and stability (1 paper), Galectins and Cancer Biology (1 paper), Immunotherapy and Immune Responses (1 paper), T-cell and B-cell Immunology (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Biophysics (83 citations), Immunology (212 citations), Molecular Biology (669 citations), Cancer Research (97 citations) and Radiology, Nuclear Medicine and Imaging (146 citations). Renée Moore has collaborated with scholars based in United States and China. Frequent co-authors include Lixia Li, Joel A. Klappenbach, Kelvin Xi Zhang, Jerelyn Wong, Namit Kumar, Vanessa M. Peterson, Douglas C. Wilson, Svetlana Sadekova, Terrill K. McClanahan and Michael Cukan. Their work appears in journals such as Journal of Immunological Methods, Protein Expression and Purification, Nature Communications, mAbs and Journal of Biotechnology.

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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