Jimmy K. Eng
- Molecular Biology top 0.05%
- Spectroscopy top 0.01%
- Immunology top 0.5%
- Cell Biology top 0.5%
- Genetics top 1%
- Co-authors
- John R. YatesAshley L. McCormackRuedi AebersoldDavid R. GoodlettEugene C. YiDavid SchieltzMichael R. HoopmannLeroy Hood
- Topics
- Advanced Proteomics Techniques and Applications (94 papers)Mass Spectrometry Techniques and Applications (73 papers)Metabolomics and Mass Spectrometry Studies (48 papers)
- Partner nations
- United StatesSwitzerlandHong Kong
In The Last Decade
Jimmy K. Eng
144 papers receiving 27.0k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Molecular Biology 19.5k
- Spectroscopy 13.0k
- Immunology 3.0k
- Cell Biology 1.9k
- Genetics 1.4k
Countries citing papers authored by Jimmy K. Eng
This map shows the geographic impact of Jimmy K. Eng'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 Jimmy K. Eng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimmy K. Eng more than expected).
Fields of papers citing papers by Jimmy K. Eng
This network shows the impact of papers produced by Jimmy K. Eng. 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 Jimmy K. Eng. The network helps show where Jimmy K. Eng may publish in the future.
Co-authorship network of co-authors of Jimmy K. Eng
This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy K. Eng. A scholar is included among the top collaborators of Jimmy K. Eng 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 Jimmy K. Eng. Jimmy K. Eng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 9 | |
| 3 | 9 | |
| 4 | 177 | |
| 5 | 23 | |
| 6 | 65 | |
| 7 | 36 | |
| 8 | 119 | |
| 9 | 91 | |
| 10 | 29 | |
| 11 | 68 | |
| 12 | 94 | |
| 13 | 26 | |
| 14 | 8 | |
| 15 | 256 | |
| 16 | Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cellsbreakdown → | 647 |
| 17 | Complementary Profiling of Gene Expression at the Transcriptome and Proteome Levels in Saccharomyces cerevisiaebreakdown → | 534 |
| 18 | The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5breakdown → | 2793 |
| 19 | 69 | |
| 20 | Method to Correlate Tandem Mass Spectra of Modified Peptides to Amino Acid Sequences in the Protein Databasebreakdown → | 993 |
About Jimmy K. Eng
Jimmy K. Eng is a scholar working on Spectroscopy, Molecular Biology and Endocrinology, having authored 144 papers that have together received 27.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (94 papers), Mass Spectrometry Techniques and Applications (73 papers) and Metabolomics and Mass Spectrometry Studies (48 papers). The work is most often cited by research in Spectroscopy (13.0k citations), Molecular Biology (19.5k citations) and Immunology (3.0k citations). Jimmy K. Eng has collaborated with scholars based in United States, Switzerland and Hong Kong. Frequent co-authors include John R. Yates, Ashley L. McCormack, Ruedi Aebersold, David R. Goodlett, Eugene C. Yi, David Schieltz, Michael R. Hoopmann, Leroy Hood, Alan Aderem and David M. Underhill. Their work appears in journals such as Nature, Science and Cell.
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.