Harrison Specht

2.3k total citations · 2 hit papers
16 papers, 982 citations indexed

About

Harrison Specht is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Harrison Specht has authored 16 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Spectroscopy and 2 papers in Immunology. Recurrent topics in Harrison Specht's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (10 papers) and Single-cell and spatial transcriptomics (7 papers). Harrison Specht is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (10 papers) and Single-cell and spatial transcriptomics (7 papers). Harrison Specht collaborates with scholars based in United States, Bangladesh and United Kingdom. Harrison Specht's co-authors include Nikolai Slavov, R. Gray Huffman, Aleksandra A. Petelski, David H. Perlman, Emily H Emmott, Andrew Leduc, Peter V. Kharchenko, Marco Serra, Antonius Koller and Hasmik Keshishian and has published in prestigious journals such as Science, Nature Biotechnology and Nature Methods.

In The Last Decade

Harrison Specht

16 papers receiving 974 citations

Hit Papers

Single-cell proteomic and transcriptomic analysis of macr... 2021 2026 2022 2024 2021 2022 100 200 300
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.

  1. Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2
    2021 325 citations Harrison Specht, Emily H Emmott et al. Genome biology profile →
  2. 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 Career Trend Papers Cites
Harrison Specht United States 9 764 606 131 90 73 16 982
R. Gray Huffman United States 6 649 0.8× 514 0.8× 108 0.8× 90 1.0× 58 0.8× 7 794
Guillaume Harmange United States 3 563 0.7× 322 0.5× 90 0.7× 83 0.9× 52 0.7× 3 713
Aleksandra A. Petelski United States 6 520 0.7× 309 0.5× 77 0.6× 59 0.7× 58 0.8× 9 683
Ana Martínez‐Val Denmark 12 652 0.9× 493 0.8× 44 0.3× 22 0.2× 35 0.5× 22 846
Tara Hiltke United States 9 390 0.5× 166 0.3× 49 0.4× 32 0.4× 60 0.8× 15 575
Stephan Meding Germany 16 671 0.9× 651 1.1× 18 0.1× 31 0.3× 36 0.5× 19 986
Paweł Ostasiewicz Poland 10 914 1.2× 714 1.2× 56 0.4× 13 0.1× 50 0.7× 14 1.2k
Shadi Toghi Eshghi United States 14 776 1.0× 370 0.6× 34 0.3× 13 0.1× 101 1.4× 16 896
Charlotte Stadler Sweden 12 398 0.5× 110 0.2× 34 0.3× 94 1.0× 48 0.7× 16 542
Alexander Hogrebe United States 6 584 0.8× 455 0.8× 24 0.2× 13 0.1× 28 0.4× 10 747

Countries citing papers authored by Harrison Specht

Since Specialization
Citations

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

Fields of papers citing papers by Harrison Specht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harrison Specht

This figure shows the co-authorship network connecting the top 25 collaborators of Harrison Specht. A scholar is included among the top collaborators of Harrison Specht 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 Harrison Specht. Harrison Specht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Kurtz, Sherry L., et al.. (2024). Host Genetic Background Influences BCG-Induced Antibodies Cross-Reactive to SARS-CoV-2 Spike Protein. Vaccines. 12(3). 242–242. 3 indexed citations
2.
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
3.
MacDonald, Bryan T., Hasmik Keshishian, Alessandro Arduini, et al.. (2022). TAILS Identifies Candidate Substrates and Biomarkers of ADAMTS7, a Therapeutic Protease Target in Coronary Artery Disease. Molecular & Cellular Proteomics. 21(4). 100223–100223. 10 indexed citations
4.
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 →
5.
Petelski, Aleksandra A., Nikolai Slavov, & Harrison Specht. (2022). Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier. Journal of Visualized Experiments. 2 indexed citations
6.
Petelski, Aleksandra A., Nikolai Slavov, & Harrison Specht. (2022). Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier. Journal of Visualized Experiments. 3 indexed citations
7.
Specht, Harrison & Nikolai Slavov. (2022). Beyond Protein Sequence: Protein Isomerization in Alzheimer’s Disease. Journal of Proteome Research. 21(2). 299–300. 2 indexed citations
8.
Lee, Yejin, Hyeongju Kim, Douglas Barker, et al.. (2022). Huntingtin turnover: modulation of huntingtin degradation by cAMP-dependent protein kinase A (PKA) phosphorylation of C-HEAT domain Ser2550. Human Molecular Genetics. 32(1). 30–45. 2 indexed citations
9.
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 →
10.
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
11.
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
12.
Specht, Harrison & Nikolai Slavov. (2020). Optimizing Accuracy and Depth of Protein Quantification in Experiments Using Isobaric Carriers. Journal of Proteome Research. 20(1). 880–887. 41 indexed citations
13.
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
14.
Specht, Harrison & Nikolai Slavov. (2018). Transformative Opportunities for Single-Cell Proteomics. Journal of Proteome Research. 17(8). 2565–2571. 85 indexed citations
15.
Keshishian, Hasmik, Michael Burgess, Harrison Specht, et al.. (2017). Quantitative, multiplexed workflow for deep analysis of human blood plasma and biomarker discovery by mass spectrometry. Nature Protocols. 12(8). 1683–1701. 125 indexed citations
16.
Specht, Harrison. (1966). Handbook of Physiology. Science. 152(3724). 941–941. 1 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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