Daniel A. Meier
Impact in
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- Growth Hormone and Insulin-like Growth Factors
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- Estrogen and related hormone effects
Papers in
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- Metabolism, Diabetes, and Cancer 4
- Fibroblast Growth Factor Research 2
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- Adipose Tissue and Metabolism 5
- Co-authors
- Kathleen A. Hopp (6 shared papers)Michael T. Story (3 shared papers)Steven R. Hager (3 shared papers)Fern E. Murdoch (3 shared papers)J. David Furlow (2 shared papers)Galen M. Pieper (1 shared paper)Charles W. Garner (2 shared papers)Russell K. Lawson (1 shared paper)
- Journals
- The Prostate (2 papers)Molecular Genetics and Metabolism (2 papers)Biochemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)European Journal of Immunology (2 papers)
- Partner nations
- United StatesSwitzerlandEgypt
In The Last Decade
Daniel A. Meier
23 papers receiving 484 citations
Peers
Comparison fields: 5 of 77
- Endocrinology, Diabetes and Metabolism 95
- Genetics 150
- Urology 34
- Physiology 92
- Molecular Biology 239
Countries citing papers authored by Daniel A. Meier
This map shows the geographic impact of Daniel A. Meier'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 Daniel A. Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Meier more than expected).
Fields of papers citing papers by Daniel A. Meier
This network shows the impact of papers produced by Daniel A. Meier. 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 Daniel A. Meier. The network helps show where Daniel A. Meier may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Meier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 95 | |
| 2 | 1995 | 66 | |
| 3 | 1993 | 64 | |
| 4 | 1994 | 46 | |
| 5 | 1995 | 33 | |
| 6 | 1996 | 29 | |
| 7 | 1991 | 28 | |
| 8 | 1987 | 26 | |
| 9 | 1993 | 21 | |
| 10 | 1990 | 16 | |
| 11 | 1995 | 12 | |
| 12 | 1998 | 8 | |
| 13 | 1993 | 7 | |
| 14 | 1991 | 7 | |
| 15 | 1996 | 7 | |
| 16 | 1991 | 6 | |
| 17 | 1998 | 5 | |
| 18 | 1995 | 5 | |
| 19 | 1975 | 4 | |
| 20 | 1990 | 4 |
About Daniel A. Meier
Daniel A. Meier is a scholar working on Molecular Biology, Physiology, Immunology, Pulmonary and Respiratory Medicine and Surgery, having authored 28 papers that have together received 496 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Metabolism, Diabetes, and Cancer (4 papers), T-cell and B-cell Immunology (4 papers), Neuropeptides and Animal Physiology (3 papers), Urinary Bladder and Prostate Research (2 papers), Prostate Cancer Treatment and Research (2 papers), Fibroblast Growth Factor Research (2 papers) and Electrolyte and hormonal disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (95 citations), Genetics (150 citations), Urology (34 citations), Physiology (92 citations) and Molecular Biology (239 citations). Daniel A. Meier has collaborated with scholars based in United States, Switzerland and Egypt. Frequent co-authors include Kathleen A. Hopp, Michael T. Story, Steven R. Hager, Fern E. Murdoch, J. David Furlow, Galen M. Pieper, Charles W. Garner, Russell K. Lawson, Frank P. Begun and Ahmed H. Kissebah. Their work appears in journals such as The Prostate, Molecular Genetics and Metabolism, Biochemistry, Biochemical and Biophysical Research Communications and European Journal of Immunology.
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.