Michelle G. Schweiger
Impact in
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- Diabetes Management and Research
- Diabetes Treatment and Management
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Animal testing and alternatives 3
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- Pharmacogenetics and Drug Metabolism 2
- Co-authors
- Paul J. Fielder (6 shared papers)Leslie A. Khawli (5 shared papers)C. Andrew Boswell (5 shared papers)Eduardo E. Mundo (4 shared papers)Daniela Bumbaca (3 shared papers)Saileta Prabhu (3 shared papers)Sheila Ulufatu (3 shared papers)Gregory Z. Ferl (3 shared papers)
- Journals
- Molecular Pharmaceutics (3 papers)Xenobiotica (1 paper)The Journal of Pediatrics (1 paper)ILAR Journal (1 paper)Pharmacology Research & Perspectives (1 paper)
- Partner nations
- United StatesAustria
In The Last Decade
Michelle G. Schweiger
13 papers receiving 317 citations
Peers
Comparison fields: 5 of 84
- Endocrinology, Diabetes and Metabolism 113
- Radiology, Nuclear Medicine and Imaging 84
- Oncology 51
- Genetics 51
- Small Animals 13
Countries citing papers authored by Michelle G. Schweiger
This map shows the geographic impact of Michelle G. Schweiger'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 G. Schweiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle G. Schweiger more than expected).
Fields of papers citing papers by Michelle G. Schweiger
This network shows the impact of papers produced by Michelle G. Schweiger. 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 G. Schweiger. The network helps show where Michelle G. Schweiger may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle G. Schweiger, 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 | 2015 | 148 | |
| 2 | 2014 | 53 | |
| 3 | 2013 | 34 | |
| 4 | 2011 | 30 | |
| 5 | 2010 | 21 | |
| 6 | 2018 | 19 | |
| 7 | 2010 | 18 | |
| 8 | 2016 | 14 | |
| 9 | 2013 | 12 | |
| 10 | 2011 | 6 | |
| 11 | 2020 | 3 | |
| 12 | 2015 | 2 | |
| 13 | 2015 | 2 | |
| 14 | [ON CHANGES IN ENZYME ACTIVITIES IN THE SERUM AND LIVER TISSUE AFTER THE EFFECT OF ETHYL ALCOHOL AND ADMINISTRATION OF ANABOLIC STEROIDS AND SOME OTHER DRUGS]. | 1964 | 1 |
| 15 | 2015 | 0 |
About Michelle G. Schweiger
Michelle G. Schweiger is a scholar working on Small Animals, Pharmacology, Endocrinology, Diabetes and Metabolism, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 363 indexed citations. Recurring topics across this work include Animal testing and alternatives (3 papers), Biosimilars and Bioanalytical Methods (2 papers), Adrenal Hormones and Disorders (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Plant Reproductive Biology (1 paper), Blood groups and transfusion (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (113 citations), Radiology, Nuclear Medicine and Imaging (84 citations), Oncology (51 citations), Genetics (51 citations) and Small Animals (13 citations). Michelle G. Schweiger has collaborated with scholars based in United States and Austria. Frequent co-authors include Paul J. Fielder, Leslie A. Khawli, C. Andrew Boswell, Eduardo E. Mundo, Daniela Bumbaca, Saileta Prabhu, Sheila Ulufatu, Gregory Z. Ferl, Frank‐Peter Theil and Brian Dean. Their work appears in journals such as Molecular Pharmaceutics, Xenobiotica, The Journal of Pediatrics, ILAR Journal and Pharmacology Research & Perspectives.
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.