Philip D. Morse
Impact in
- Biophysics top 0.2%
- Electron Spin Resonance Studies
- Electrochemistry top 10%
Papers in
- Biophysics 23
- Electron Spin Resonance Studies 23
-
- Lipid Membrane Structure and Behavior 7
- Co-authors
- Harold M. Swartz (13 shared papers)Marjeta Šentjurc (2 shared papers)Kai Chen (2 shared papers)Kai Chen (1 shared paper)James E. Graham (1 shared paper)L. Bigelow (1 shared paper)Brian J. Wilkinson (1 shared paper)Siqing Liu (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (4 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (4 papers)Archives of Biochemistry and Biophysics (3 papers)Biochemistry (3 papers)Magnetic Resonance in Medicine (2 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Philip D. Morse
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Biophysics 636
- Electrochemistry 80
- Biotechnology 113
- Bioengineering 55
- Physiology 239
Countries citing papers authored by Philip D. Morse
This map shows the geographic impact of Philip D. Morse'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 Philip D. Morse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip D. Morse more than expected).
Fields of papers citing papers by Philip D. Morse
This network shows the impact of papers produced by Philip D. Morse. 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 Philip D. Morse. The network helps show where Philip D. Morse may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip D. Morse, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 181 | |
| 2 | 2002 | 150 | |
| 3 | 1989 | 91 | |
| 4 | 1988 | 89 | |
| 5 | 1986 | 79 | |
| 6 | 1994 | 66 | |
| 7 | 1976 | 65 | |
| 8 | 1985 | 62 | |
| 9 | 1977 | 56 | |
| 10 | 1975 | 56 | |
| 11 | 1995 | 55 | |
| 12 | 1979 | 48 | |
| 13 | 1986 | 38 | |
| 14 | 1988 | 29 | |
| 15 | 1973 | 28 | |
| 16 | 1982 | 26 | |
| 17 | 1989 | 25 | |
| 18 | 1983 | 24 | |
| 19 | 1979 | 24 | |
| 20 | 1975 | 23 |
About Philip D. Morse
Philip D. Morse is a scholar working on Biophysics, Molecular Biology, Physiology, Cell Biology and Spectroscopy, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electron Spin Resonance Studies (23 papers), Lipid Membrane Structure and Behavior (7 papers), Hemoglobin structure and function (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Lanthanide and Transition Metal Complexes (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Analytical Chemistry and Sensors (3 papers). The work is most often cited by research in Biophysics (636 citations), Electrochemistry (80 citations), Biotechnology (113 citations), Bioengineering (55 citations) and Physiology (239 citations). Philip D. Morse has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Harold M. Swartz, Marjeta Šentjurc, Kai Chen, Kai Chen, James E. Graham, L. Bigelow, Brian J. Wilkinson, Siqing Liu, Alec D. Keith and James F. Glockner. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Biochimica et Biophysica Acta (BBA) - Biomembranes, Archives of Biochemistry and Biophysics, Biochemistry and Magnetic Resonance in Medicine.
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.