Mark D. Schuchard
- Co-authors
- James P. LandersNicole P. SandhuSteven L. CockrillRichard J. MehighGraham ScottDavid WarunekDaniel W. ChanPeter Schulz‐Knappe
- Topics
- Estrogen and related hormone effects (5 papers)Advanced Proteomics Techniques and Applications (4 papers)Mass Spectrometry Techniques and Applications (3 papers)
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Mark D. Schuchard
15 papers receiving 760 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 457
- Spectroscopy 303
- Biomedical Engineering 113
- Genetics 106
- Oncology 59
Countries citing papers authored by Mark D. Schuchard
This map shows the geographic impact of Mark D. Schuchard'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 Mark D. Schuchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Schuchard more than expected).
Fields of papers citing papers by Mark D. Schuchard
This network shows the impact of papers produced by Mark D. Schuchard. 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 Mark D. Schuchard. The network helps show where Mark D. Schuchard may publish in the future.
Co-authorship network of co-authors of Mark D. Schuchard
This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Schuchard. A scholar is included among the top collaborators of Mark D. Schuchard 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 Mark D. Schuchard. Mark D. Schuchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Investigation of Non-Specifi c Protein: Protein Interactions Following Removal of Twenty High Abundance Proteins From Human Plasma | 1 |
| 2 | Absolute Quantifi cation of the Lower Abundance Proteome Through Immunoaffi nity Depletion of the Twenty Most Abundant Proteins in Human Serum | 4 |
| 3 | 25 | |
| 4 | 424 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 128 | |
| 9 | Two-step "hot" PCR amplification of GC-rich avian c-myc sequences. | 12 |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 58 | |
| 13 | 32 | |
| 14 | 17 | |
| 15 | 40 |
About Mark D. Schuchard
Mark D. Schuchard is a scholar working on Spectroscopy, Genetics and Reproductive Medicine, having authored 15 papers that have together received 780 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Spectroscopy (303 citations), Molecular Biology (457 citations) and Genetics (106 citations). Mark D. Schuchard has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include James P. Landers, Nicole P. Sandhu, Steven L. Cockrill, Richard J. Mehigh, Graham Scott, David Warunek, Daniel W. Chan, Peter Schulz‐Knappe, Harald Tammen and David W. Speicher. Their work appears in journals such as Journal of Biological Chemistry, Analytical Chemistry and Endocrine Reviews.
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.