R. Gray Huffman

1.5k citations
7 papers · 794 indexed · 2 hit papers · h-index 6
Topics
Advanced Proteomics Techniques and Applications (6 papers)Single-cell and spatial transcriptomics (5 papers)Mass Spectrometry Techniques and Applications (4 papers)

In The Last Decade

R. Gray Huffman

7 papers receiving 788 citations

Hit Papers

Single-cell proteomic and transcriptomic analysis of macr...202120262022202420212022100200300

Peers

R. Gray Huffman
Comparison fields: 5 of 70
  • Molecular Biology 649
  • Spectroscopy 514
  • Biomedical Engineering 108
  • Biophysics 90
  • Immunology 58
Replace Harrison Specht with:
Harrison Specht United States
Aleksandra A. Petelski United States
Guillaume Harmange United States
Marvin Thielert Germany
Erik L. de Graaf Netherlands
Thy Truong United States
Tara Hiltke United States
Benjamin Furtwängler Denmark
Shadi Toghi Eshghi United States
Matthew The Germany
R. Gray Huffman relative to Harrison Specht United States Harrison Specht's profile →
Citations per field
00.5×1.5×
Harrison Specht · 1×
Citations per year

Countries citing papers authored by R. Gray Huffman

Since Specialization
Citations

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

Fields of papers citing papers by R. Gray Huffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Gray Huffman. 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 R. Gray Huffman. The network helps show where R. Gray Huffman may publish in the future.

Co-authorship network of co-authors of R. Gray Huffman

This figure shows the co-authorship network connecting the top 25 collaborators of R. Gray Huffman. A scholar is included among the top collaborators of R. Gray Huffman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. Gray Huffman. R. Gray Huffman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 56
2 86
3
Increasing the throughput of sensitive proteomics by plexDIAbreakdown →
138
4
Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2breakdown →
325
5 144
6
How to perform quantitative single cell proteomics with SCoPE2
1
7 44

About R. Gray Huffman

R. Gray Huffman is a scholar working on Spectroscopy, Biophysics and Molecular Biology, having authored 7 papers that have together received 794 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Single-cell and spatial transcriptomics (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Spectroscopy (514 citations), Biophysics (90 citations) and Molecular Biology (649 citations). R. Gray Huffman has collaborated with scholars based in United States, United Kingdom and Bangladesh. Frequent co-authors include Nikolai Slavov, Harrison Specht, Aleksandra A. Petelski, David H. Perlman, Emily H Emmott, Andrew Leduc, Marco Serra, Peter V. Kharchenko, Antonius Koller and Saad Khan. Their work appears in journals such as Nature Biotechnology, Nature Methods and Nature Protocols.

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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