Michelle Schultz
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
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- Nigella sativa pharmacological applications
Papers in
-
- Bone Metabolism and Diseases 4
- Glutathione Transferases and Polymorphisms 3
- Genomics, phytochemicals, and oxidative stress 3
- Redox biology and oxidative stress 2
- Oncology 4
- Co-authors
- Debasis Mondal (3 shared papers)Asim B. Abdel‐Mageed (3 shared papers)Michael L. Freeman (2 shared papers)Swati Biswas (1 shared paper)Tapasi Rana (1 shared paper)Krishna C. Agrawal (1 shared paper)Suresh C. Sikka (1 shared paper)Amrita Datta (1 shared paper)
- Journals
- Quality Management in Health Care (1 paper)Nutrients (1 paper)Journal of Graph Theory (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Journal of Surgical Research (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Michelle Schultz
16 papers receiving 415 citations
Peers
Comparison fields: 5 of 86
- Toxicology 64
- Complementary and alternative medicine 80
- Cancer Research 62
- Molecular Biology 208
- Biochemistry 16
Countries citing papers authored by Michelle Schultz
This map shows the geographic impact of Michelle Schultz'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 Michelle Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Schultz more than expected).
Fields of papers citing papers by Michelle Schultz
This network shows the impact of papers produced by Michelle Schultz. 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 Michelle Schultz. The network helps show where Michelle Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Schultz, 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 | 2010 | 105 | |
| 2 | 2012 | 98 | |
| 3 | 2014 | 54 | |
| 4 | 2018 | 33 | |
| 5 | 2013 | 31 | |
| 6 | 2010 | 29 | |
| 7 | 1990 | 17 | |
| 8 | 2014 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2017 | 7 | |
| 13 | 1998 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 1990 | 2 | |
| 17 | 2024 | 0 |
About Michelle Schultz
Michelle Schultz is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Infectious Diseases and Surgery, having authored 17 papers that have together received 422 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (4 papers), Glutathione Transferases and Polymorphisms (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Fatty Acid Research and Health (2 papers), Orthopedic Infections and Treatments (2 papers), Immune Response and Inflammation (2 papers), Redox biology and oxidative stress (2 papers) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Toxicology (64 citations), Complementary and alternative medicine (80 citations), Cancer Research (62 citations), Molecular Biology (208 citations) and Biochemistry (16 citations). Michelle Schultz has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Debasis Mondal, Asim B. Abdel‐Mageed, Michael L. Freeman, Swati Biswas, Tapasi Rana, Krishna C. Agrawal, Suresh C. Sikka, Amrita Datta, Yiguo Zhang and Michael J. McCarthy. Their work appears in journals such as Quality Management in Health Care, Nutrients, Journal of Graph Theory, International Journal of Radiation Oncology*Biology*Physics and Journal of Surgical 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.