Daniel A. Meier
Impact in
- Urology top 10%
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Metabolism, Diabetes, and Cancer 4
-
- Adipose Tissue and Metabolism 5
- Nitric Oxide and Endothelin Effects 2
- Co-authors
- Kathleen A. Hopp (6 shared papers)Michael T. Story (3 shared papers)Steven R. Hager (3 shared papers)J. David Furlow (2 shared papers)Fern E. Murdoch (3 shared papers)Galen M. Pieper (1 shared paper)Charles W. Garner (2 shared papers)Frank P. Begun (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)The Prostate (2 papers)CORROSION (2 papers)Biochemistry (2 papers)European Journal of Immunology (2 papers)
- Partner nations
- United StatesSwitzerlandEgypt
In The Last Decade
Daniel A. Meier
23 papers receiving 483 citations
Peers
Comparison fields: 5 of 75
- Urology 33
- Endocrinology, Diabetes and Metabolism 79
- Genetics 137
- Physiology 83
- Molecular Biology 224
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 | 65 | |
| 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 | 1996 | 7 | |
| 14 | 1993 | 7 | |
| 15 | 1991 | 7 | |
| 16 | 1991 | 6 | |
| 17 | 1995 | 5 | |
| 18 | 1998 | 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 495 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), T-cell and B-cell Immunology (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Neuropeptides and Animal Physiology (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Muscle metabolism and nutrition (2 papers), Urinary Bladder and Prostate Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Urology (33 citations), Endocrinology, Diabetes and Metabolism (79 citations), Genetics (137 citations), Physiology (83 citations) and Molecular Biology (224 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, J. David Furlow, Fern E. Murdoch, Galen M. Pieper, Charles W. Garner, Frank P. Begun, Russell K. Lawson and Ahmed H. Kissebah. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Prostate, CORROSION, Biochemistry 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.