Stephen Schmidt
Impact in
-
- Glioma Diagnosis and Treatment
-
- Lung Cancer Research Studies
Papers in
- Genetics 2
- Co-authors
- Gregory R. Wojtkiewicz (6 shared papers)Daniel P. Cahill (3 shared papers)Hiroaki Wakimoto (3 shared papers)Priscilla Kaliopi Brastianos (3 shared papers)Anita Giobbie‐Hurder (2 shared papers)Benjamin M. Kuter (2 shared papers)Maria Martinez‐Lage (2 shared papers)Scott L. Carter (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Nature Biomedical Engineering (1 paper)Scientific Reports (1 paper)Assay and Drug Development Technologies (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Stephen Schmidt
15 papers receiving 495 citations
Peers
Comparison fields: 5 of 82
- Genetics 55
- Oncology 89
- Molecular Biology 222
- Cancer Research 41
- Pulmonary and Respiratory Medicine 82
Countries citing papers authored by Stephen Schmidt
This map shows the geographic impact of Stephen Schmidt'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 Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Schmidt more than expected).
Fields of papers citing papers by Stephen Schmidt
This network shows the impact of papers produced by Stephen Schmidt. 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 Schmidt. The network helps show where Stephen Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 104 | |
| 2 | 2019 | 82 | |
| 3 | 2019 | 68 | |
| 4 | 2015 | 43 | |
| 5 | 2018 | 40 | |
| 6 | 1995 | 35 | |
| 7 | 2020 | 30 | |
| 8 | 2013 | 26 | |
| 9 | 2021 | 21 | |
| 10 | 2006 | 17 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 9 | |
| 13 | Beef steer performance on cimarron alfalfa and serala and AU Lotan sericea lespedeza pastures | 1987 | 5 |
| 14 | Triumph : a new winter-productive tall fescue variety | 1982 | 4 |
| 15 | 2003 | 3 | |
| 16 | Steer performance as affected by fungal endophyte on Kentucky 31 tall fescue pasture | 1984 | 1 |
About Stephen Schmidt
Stephen Schmidt is a scholar working on Biophysics, Genetics, Environmental Chemistry, Cancer Research and Computational Mathematics, having authored 16 papers that have together received 500 indexed citations. Recurring topics across this work include Plant and fungal interactions (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Turfgrass Adaptation and Management (2 papers), Quinazolinone synthesis and applications (2 papers), Lung Cancer Treatments and Mutations (2 papers), CRISPR and Genetic Engineering (1 paper), Biochemical effects in animals (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Genetics (55 citations), Oncology (89 citations), Molecular Biology (222 citations), Cancer Research (41 citations) and Pulmonary and Respiratory Medicine (82 citations). Stephen Schmidt has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Gregory R. Wojtkiewicz, Daniel P. Cahill, Hiroaki Wakimoto, Priscilla Kaliopi Brastianos, Anita Giobbie‐Hurder, Benjamin M. Kuter, Maria Martinez‐Lage, Scott L. Carter, Franziska Maria Ippen and Megha P. Subramanian. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Nature Biomedical Engineering, Scientific Reports, Assay and Drug Development Technologies and Clinical Cancer Research.
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.