R. Gray Huffman

1.5k total citations · 2 hit papers
7 papers, 794 citations indexed

About

R. Gray Huffman is a scholar working on Molecular Biology, Spectroscopy and Biophysics. According to data from OpenAlex, R. Gray Huffman has authored 7 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Spectroscopy and 1 paper in Biophysics. Recurrent topics in R. Gray Huffman's work include Advanced Proteomics Techniques and Applications (6 papers), Single-cell and spatial transcriptomics (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). R. Gray Huffman is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Single-cell and spatial transcriptomics (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). R. Gray Huffman collaborates with scholars based in United States, United Kingdom and Bangladesh. R. Gray Huffman's 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 and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Nature Protocols.

In The Last Decade

R. Gray Huffman

7 papers receiving 788 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2

2021 325 citations Harrison Specht, Emily H Emmott et al. Genome biology profile →
Increasing the throughput of sensitive proteomics by plexDIA

2022 138 citations Jason Derks, Andrew Leduc et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
R. Gray Huffman United States	6	649	514	108	90	58	7	794
Harrison Specht United States	9	764 1.2×	606 1.2×	131 1.2×	90 1.0×	73 1.3×	16	982
Guillaume Harmange United States	3	563 0.9×	322 0.6×	90 0.8×	83 0.9×	52 0.9×	3	713
Marvin Thielert Germany	9	523 0.8×	363 0.7×	73 0.7×	65 0.7×	29 0.5×	15	664
Aleksandra A. Petelski United States	6	520 0.8×	309 0.6×	77 0.7×	59 0.7×	58 1.0×	9	683
Erik L. de Graaf Netherlands	15	573 0.9×	390 0.8×	43 0.4×	21 0.2×	68 1.2×	24	785
Thy Truong United States	13	479 0.7×	546 1.1×	199 1.8×	60 0.7×	19 0.3×	18	693
Tara Hiltke United States	9	390 0.6×	166 0.3×	49 0.5×	32 0.4×	60 1.0×	15	575
Benjamin Furtwängler Denmark	8	361 0.6×	222 0.4×	62 0.6×	27 0.3×	63 1.1×	12	489
Matthew The Germany	14	522 0.8×	382 0.7×	33 0.3×	14 0.2×	25 0.4×	27	652
Shadi Toghi Eshghi United States	14	776 1.2×	370 0.7×	34 0.3×	13 0.1×	101 1.7×	16	896

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Huffman, R. Gray, Andrew Leduc, Christoph Wichmann, et al.. (2023). Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics. Nature Methods. 20(5). 714–722. 56 indexed citations

2.

Leduc, Andrew, R. Gray Huffman, Joshua Cantlon, Saad Khan, & Nikolai Slavov. (2022). Exploring functional protein covariation across single cells using nPOP. Genome biology. 23(1). 261–261. 86 indexed citations

3.

Derks, Jason, Andrew Leduc, Georg Wallmann, et al.. (2022). Increasing the throughput of sensitive proteomics by plexDIA. Nature Biotechnology. 41(1). 50–59. 138 indexed citations breakdown →

4.

Specht, Harrison, Emily H Emmott, Aleksandra A. Petelski, et al.. (2021). Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2. Genome biology. 22(1). 50–50. 325 indexed citations breakdown →

5.

Petelski, Aleksandra A., Emily H Emmott, Andrew Leduc, et al.. (2021). Multiplexed single-cell proteomics using SCoPE2. Nature Protocols. 16(12). 5398–5425. 144 indexed citations

6.

Emmott, Emily H, R. Gray Huffman, Peter V. Kharchenko, et al.. (2020). How to perform quantitative single cell proteomics with SCoPE2. Journal of Biomolecular Techniques JBT. 31. 1 indexed citations

7.

Huffman, R. Gray, Albert T. Chen, Harrison Specht, & Nikolai Slavov. (2019). DO-MS: Data-Driven Optimization of Mass Spectrometry Methods. Journal of Proteome Research. 18(6). 2493–2500. 44 indexed citations

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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