Harrison Specht
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
-
- RNA and protein synthesis mechanisms
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
Papers in
- Spectroscopy 12
- Advanced Proteomics Techniques and Applications 12
-
- Protease and Inhibitor Mechanisms 1
- Co-authors
- Nikolai Slavov (11 shared papers)R. Gray Huffman (6 shared papers)Aleksandra A. Petelski (6 shared papers)David H. Perlman (4 shared papers)Andrew Leduc (3 shared papers)Antonius Koller (2 shared papers)Peter V. Kharchenko (2 shared papers)Hasmik Keshishian (3 shared papers)
- Journals
- Journal of Proteome Research (4 papers)Nature Protocols (2 papers)Journal of Visualized Experiments (2 papers)Cell (2 papers)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Harrison Specht
18 papers receiving 1.5k citations
Harrison Specht's Hit Papers
Peers
Comparison fields: 5 of 76
- Spectroscopy 803
- Molecular Biology 456
- Hematology 61
- Genetics 32
- Drug Discovery 1
Countries citing papers authored by Harrison Specht
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
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-authors
The 25 scholars most cited alongside Harrison Specht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2 Hit paper breakdown → | 2021 | 375 |
| 2 | 2018 | 305 | |
| 3 | Increasing the throughput of sensitive proteomics by plexDIA Hit paper breakdown → | 2022 | 174 |
| 4 | 2021 | 167 | |
| 5 | 2017 | 151 | |
| 6 | 2018 | 101 | |
| 7 | 2023 | 81 | |
| 8 | 2019 | 51 | |
| 9 | 2020 | 48 | |
| 10 | 2021 | 16 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 6 | |
| 13 | 2025 | 6 | |
| 14 | 2024 | 4 | |
| 15 | How to perform quantitative single cell proteomics with SCoPE2 | 2020 | 2 |
| 16 | 2022 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 |
About Harrison Specht
Harrison Specht is a scholar working on Spectroscopy, Cancer Research, Cellular and Molecular Neuroscience, Infectious Diseases and Immunology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), RNA and protein synthesis mechanisms (1 paper), Protease and Inhibitor Mechanisms (1 paper), Alzheimer's disease research and treatments (1 paper), Developmental Biology and Gene Regulation (1 paper), Genetic Neurodegenerative Diseases (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Immune responses and vaccinations (1 paper). The work is most often cited by research in Spectroscopy (803 citations), Molecular Biology (456 citations), Hematology (61 citations), Genetics (32 citations) and Drug Discovery (1 citation). Harrison Specht has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Nikolai Slavov, R. Gray Huffman, Aleksandra A. Petelski, David H. Perlman, Andrew Leduc, Antonius Koller, Peter V. Kharchenko, Hasmik Keshishian, Saad Khan and Steven A. Carr. Their work appears in journals such as Journal of Proteome Research, Nature Protocols, Journal of Visualized Experiments, Cell and Human Molecular Genetics.
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.