Stephen W. Hunsucker
- Molecular Biology
- Spectroscopy top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- Mark W. DuncanSteve M. HelmkeKim Y. C. FungBarbara HammackBryan R. HaugenRomana T. Netea‐MaierLewis M. BrownDavid Heinz
- Topics
- Advanced Proteomics Techniques and Applications (6 papers)Mass Spectrometry Techniques and Applications (5 papers)Lung Cancer Treatments and Mutations (4 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Stephen W. Hunsucker
17 papers receiving 563 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 301
- Spectroscopy 135
- Endocrinology, Diabetes and Metabolism 102
- Pulmonary and Respiratory Medicine 93
- Oncology 56
Countries citing papers authored by Stephen W. Hunsucker
This map shows the geographic impact of Stephen W. Hunsucker'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 Stephen W. Hunsucker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen W. Hunsucker more than expected).
Fields of papers citing papers by Stephen W. Hunsucker
This network shows the impact of papers produced by Stephen W. Hunsucker. 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 Stephen W. Hunsucker. The network helps show where Stephen W. Hunsucker may publish in the future.
Co-authorship network of co-authors of Stephen W. Hunsucker
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen W. Hunsucker. A scholar is included among the top collaborators of Stephen W. Hunsucker 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 Stephen W. Hunsucker. Stephen W. Hunsucker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 14 | |
| 3 | 11 | |
| 4 | 48 | |
| 5 | 26 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 46 | |
| 10 | 7 | |
| 11 | 32 | |
| 12 | 109 | |
| 13 | 5 | |
| 14 | 33 | |
| 15 | 25 | |
| 16 | 34 | |
| 17 | 151 |
About Stephen W. Hunsucker
Stephen W. Hunsucker is a scholar working on Spectroscopy, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 585 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (5 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Spectroscopy (135 citations), Endocrinology, Diabetes and Metabolism (102 citations) and Molecular Biology (301 citations). Stephen W. Hunsucker has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Mark W. Duncan, Steve M. Helmke, Kim Y. C. Fung, Barbara Hammack, Bryan R. Haugen, Romana T. Netea‐Maier, Lewis M. Brown, David Heinz, Kenneth R. Shroyer and Paul Kearney. Their work appears in journals such as PLoS ONE, Cancer Research and Biochemical and Biophysical Research Communications.
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.