Wilfred H. Tang
- Molecular Biology top 5%
- Spectroscopy top 1%
- Plant Science
- Cell Biology top 10%
- Immunology
- Co-authors
- Sean L. SeymourLydia M. NuwaysirAlpesh A. PatelDaniel SchaefferChristie L. HunterLennart MartensSteffen NeumannAngel Pizarro
- Topics
- Advanced Proteomics Techniques and Applications (8 papers)Mass Spectrometry Techniques and Applications (7 papers)Glycosylation and Glycoproteins Research (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Wilfred H. Tang
16 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.5k
- Spectroscopy 780
- Plant Science 154
- Cell Biology 125
- Immunology 118
Countries citing papers authored by Wilfred H. Tang
This map shows the geographic impact of Wilfred H. Tang'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 Wilfred H. Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilfred H. Tang more than expected).
Fields of papers citing papers by Wilfred H. Tang
This network shows the impact of papers produced by Wilfred H. Tang. 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 Wilfred H. Tang. The network helps show where Wilfred H. Tang may publish in the future.
Co-authorship network of co-authors of Wilfred H. Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Wilfred H. Tang. A scholar is included among the top collaborators of Wilfred H. Tang 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 Wilfred H. Tang. Wilfred H. Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 33 | |
| 5 | 83 | |
| 6 | 26 | |
| 7 | Search Strategies for Glycopeptide Identification | 1 |
| 8 | mzML—a Community Standard for Mass Spectrometry Databreakdown → | 507 |
| 9 | 300 | |
| 10 | The Paragon Algorithm, a Next Generation Search Engine That Uses Sequence Temperature Values and Feature Probabilities to Identify Peptides from Tandem Mass Spectrabreakdown → | 1131 |
| 11 | 59 | |
| 12 | 46 | |
| 13 | 4 | |
| 14 | 25 | |
| 15 | 13 | |
| 16 | 24 |
About Wilfred H. Tang
Wilfred H. Tang is a scholar working on Spectroscopy, Fluid Flow and Transfer Processes and Biophysics, having authored 16 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Spectroscopy (780 citations), Molecular Biology (1.5k citations) and Cell Biology (125 citations). Wilfred H. Tang has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sean L. Seymour, Lydia M. Nuwaysir, Alpesh A. Patel, Daniel Schaeffer, Christie L. Hunter, Lennart Martens, Steffen Neumann, Angel Pizarro, Andreas Römpp and Luisa Montecchi‐Palazzi. Their work appears in journals such as The Journal of Chemical Physics, Analytical Chemistry and Macromolecules.
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.