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
- Genomics, phytochemicals, and oxidative stress 3
- Glutathione Transferases and Polymorphisms 3
- Redox biology and oxidative stress 2
- DNA Repair Mechanisms 1
- Co-authors
- Asim B. Abdel‐Mageed (3 shared papers)Debasis Mondal (3 shared papers)Michael L. Freeman (2 shared papers)Tapasi Rana (1 shared paper)Swati Biswas (1 shared paper)Krishna C. Agrawal (1 shared paper)Lu Zhang (1 shared paper)Michael J. McCarthy (1 shared paper)
- Journals
- Experimental Biology and Medicine (1 paper)Journal of Graph Theory (1 paper)Biochemical and Biophysical Research Communications (1 paper)Oncotarget (1 paper)Food Control (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Michelle Schultz
17 papers receiving 442 citations
Peers
Comparison fields: 5 of 87
- Toxicology 60
- Complementary and alternative medicine 86
- Cancer Research 59
- Molecular Biology 199
- Orthopedics and Sports Medicine 19
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 | 116 | |
| 2 | 2012 | 100 | |
| 3 | 2014 | 55 | |
| 4 | 2018 | 37 | |
| 5 | 2013 | 34 | |
| 6 | 2010 | 30 | |
| 7 | 1990 | 17 | |
| 8 | 2014 | 13 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2017 | 7 | |
| 13 | 1998 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 1990 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 2 |
About Michelle Schultz
Michelle Schultz is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Infectious Diseases and Surgery, having authored 17 papers that have together received 454 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Glutathione Transferases and Polymorphisms (3 papers), Orthopedic Infections and Treatments (2 papers), Redox biology and oxidative stress (2 papers), Immune Response and Inflammation (2 papers), DNA Repair Mechanisms (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Toxicology (60 citations), Complementary and alternative medicine (86 citations), Cancer Research (59 citations), Molecular Biology (199 citations) and Orthopedics and Sports Medicine (19 citations). Michelle Schultz has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Asim B. Abdel‐Mageed, Debasis Mondal, Michael L. Freeman, Tapasi Rana, Swati Biswas, Krishna C. Agrawal, Lu Zhang, Michael J. McCarthy, Suresh C. Sikka and Amrita Datta. Their work appears in journals such as Experimental Biology and Medicine, Journal of Graph Theory, Biochemical and Biophysical Research Communications, Oncotarget and Food Control.
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.