Daniel W. Parish
Impact in
- Cell Biology top 5%
- Hemoglobin structure and function
-
- Neonatal Health and Biochemistry
Papers in
- Cell Biology 17
- Hemoglobin structure and function 17
-
- Protein Structure and Dynamics 5
- Porphyrin Metabolism and Disorders 3
- Pharmacological Receptor Mechanisms and Effects 3
- Co-authors
- Kevin M. Smith (18 shared papers)Gerd N. La Mar (9 shared papers)Tsung‐Ping Su (3 shared papers)Tangui Maurice (2 shared papers)Alain Privat (2 shared papers)Toshitaka Nabeshima (1 shared paper)K. Gersonde (6 shared papers)Edward J. Cone (1 shared paper)
- Journals
- Journal of the American Chemical Society (4 papers)Journal of Biological Chemistry (3 papers)Biochemistry (3 papers)European Journal of Biochemistry (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Daniel W. Parish
22 papers receiving 757 citations
Peers
Comparison fields: 5 of 73
- Cell Biology 395
- Pediatrics, Perinatology and Child Health 158
- Cellular and Molecular Neuroscience 146
- Biophysics 46
- Molecular Biology 533
Countries citing papers authored by Daniel W. Parish
This map shows the geographic impact of Daniel W. Parish'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 W. Parish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Parish more than expected).
Fields of papers citing papers by Daniel W. Parish
This network shows the impact of papers produced by Daniel W. Parish. 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 W. Parish. The network helps show where Daniel W. Parish may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Parish, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 148 | |
| 2 | 1994 | 116 | |
| 3 | 1991 | 92 | |
| 4 | 1983 | 72 | |
| 5 | 1983 | 50 | |
| 6 | 1986 | 48 | |
| 7 | 1986 | 37 | |
| 8 | 1995 | 30 | |
| 9 | 1989 | 28 | |
| 10 | 1986 | 24 | |
| 11 | 1990 | 16 | |
| 12 | 1989 | 16 | |
| 13 | 1989 | 14 | |
| 14 | 1985 | 14 | |
| 15 | 1986 | 13 | |
| 16 | 1990 | 13 | |
| 17 | 1986 | 12 | |
| 18 | 1986 | 11 | |
| 19 | 1987 | 10 | |
| 20 | 1989 | 9 |
About Daniel W. Parish
Daniel W. Parish is a scholar working on Cell Biology, Molecular Biology, Pediatrics, Perinatology and Child Health, Atomic and Molecular Physics, and Optics and Physiology, having authored 22 papers that have together received 789 indexed citations. Recurring topics across this work include Hemoglobin structure and function (17 papers), Neonatal Health and Biochemistry (7 papers), Protein Structure and Dynamics (5 papers), Porphyrin and Phthalocyanine Chemistry (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Porphyrin Metabolism and Disorders (3 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). The work is most often cited by research in Cell Biology (395 citations), Pediatrics, Perinatology and Child Health (158 citations), Cellular and Molecular Neuroscience (146 citations), Biophysics (46 citations) and Molecular Biology (533 citations). Daniel W. Parish has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Kevin M. Smith, Gerd N. La Mar, Tsung‐Ping Su, Tangui Maurice, Alain Privat, Toshitaka Nabeshima, K. Gersonde, Edward J. Cone, Tamara Gund and Kevin C. Langry. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry, Biochemistry, European Journal of Biochemistry and Journal of Molecular Biology.
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.