Michael R. Emmert‐Buck
- Molecular Biology top 0.5%
- Cancer Research top 0.5%
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Spectroscopy top 0.5%
- Co-authors
- Lance A. LiottaJohn W. GillespieRodrigo ChuaquiNicole L. SimoneKristina A. ColeMark J. RothW. Marston LinehanCloud P. Paweletz
- Topics
- Molecular Biology Techniques and Applications (62 papers)Cancer Genomics and Diagnostics (32 papers)Gene expression and cancer classification (21 papers)
- Partner nations
- United StatesChinaChile
In The Last Decade
Michael R. Emmert‐Buck
177 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 6.9k
- Cancer Research 2.6k
- Oncology 2.1k
- Pulmonary and Respiratory Medicine 1.4k
- Spectroscopy 1.3k
Countries citing papers authored by Michael R. Emmert‐Buck
This map shows the geographic impact of Michael R. Emmert‐Buck'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 Michael R. Emmert‐Buck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Emmert‐Buck more than expected).
Fields of papers citing papers by Michael R. Emmert‐Buck
This network shows the impact of papers produced by Michael R. Emmert‐Buck. 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 Michael R. Emmert‐Buck. The network helps show where Michael R. Emmert‐Buck may publish in the future.
Co-authorship network of co-authors of Michael R. Emmert‐Buck
This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Emmert‐Buck. A scholar is included among the top collaborators of Michael R. Emmert‐Buck 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 Michael R. Emmert‐Buck. Michael R. Emmert‐Buck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 8 | |
| 3 | 56 | |
| 4 | 11 | |
| 5 | 85 | |
| 6 | 31 | |
| 7 | 36 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 36 | |
| 11 | 137 | |
| 12 | 14 | |
| 13 | 22 | |
| 14 | 23 | |
| 15 | 64 | |
| 16 | 27 | |
| 17 | 306 | |
| 18 | 23 | |
| 19 | 17 | |
| 20 | 69 |
About Michael R. Emmert‐Buck
Michael R. Emmert‐Buck is a scholar working on Cancer Research, Molecular Biology and Spectroscopy, having authored 177 papers that have together received 10.8k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (62 papers), Cancer Genomics and Diagnostics (32 papers) and Gene expression and cancer classification (21 papers). The work is most often cited by research in Cancer Research (2.6k citations), Molecular Biology (6.9k citations) and Spectroscopy (1.3k citations). Michael R. Emmert‐Buck has collaborated with scholars based in United States, China and Chile. Frequent co-authors include Lance A. Liotta, John W. Gillespie, Rodrigo Chuaqui, Nicole L. Simone, Kristina A. Cole, Mark J. Roth, W. Marston Linehan, Cloud P. Paweletz, Robert F. Bonner and Paul H. Duray. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.