H P Moore
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
-
- Lipid Membrane Structure and Behavior 7
- Ion channel regulation and function 5
- Glycosylation and Glycoproteins Research 3
- Cell Biology 17
- Cellular transport and secretion 15
- Endoplasmic Reticulum Stress and Disease 6
- Co-authors
- Stephen G. Miller (5 shared papers)R B Kelly (3 shared papers)Cherie L. Holcomb (2 shared papers)Michael A. Raftery (5 shared papers)Lelio Orci (3 shared papers)Walter K. Schmidt (2 shared papers)Yu Chen (1 shared paper)James G. Granneman (2 shared papers)
- Journals
- The Journal of Cell Biology (9 papers)Proceedings of the National Academy of Sciences (6 papers)Journal of Biological Chemistry (3 papers)Cold Spring Harbor Symposia on Quantitative Biology (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
H P Moore
28 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 89
- Cell Biology 887
- Biochemistry 187
- Molecular Biology 1.2k
- Physiology 76
- Cellular and Molecular Neuroscience 268
Countries citing papers authored by H P Moore
This map shows the geographic impact of H P Moore'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 H P Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H P Moore more than expected).
Fields of papers citing papers by H P Moore
This network shows the impact of papers produced by H P Moore. 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 H P Moore. The network helps show where H P Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside H P Moore, 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 | 2010 | 185 | |
| 2 | 1980 | 175 | |
| 3 | 1991 | 159 | |
| 4 | 1985 | 139 | |
| 5 | 1993 | 139 | |
| 6 | 1991 | 105 | |
| 7 | 1980 | 97 | |
| 8 | 1996 | 82 | |
| 9 | 1994 | 70 | |
| 10 | 1983 | 68 | |
| 11 | 1989 | 68 | |
| 12 | 1995 | 64 | |
| 13 | 1988 | 62 | |
| 14 | 1992 | 60 | |
| 15 | 1991 | 47 | |
| 16 | 1981 | 45 | |
| 17 | 1992 | 39 | |
| 18 | 1982 | 37 | |
| 19 | 1979 | 37 | |
| 20 | 1983 | 33 |
About H P Moore
H P Moore is a scholar working on Molecular Biology, Cell Biology, Surgery, Physiology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (15 papers), Lipid Membrane Structure and Behavior (7 papers), Pancreatic function and diabetes (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Ion channel regulation and function (5 papers), Glycosylation and Glycoproteins Research (3 papers), Photoreceptor and optogenetics research (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Cell Biology (887 citations), Biochemistry (187 citations), Molecular Biology (1.2k citations), Physiology (76 citations) and Cellular and Molecular Neuroscience (268 citations). H P Moore has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Stephen G. Miller, R B Kelly, Cherie L. Holcomb, Michael A. Raftery, Lelio Orci, Walter K. Schmidt, Yu Chen, James G. Granneman, Zhengxian Zhu and Emilio P. Mottillo. Their work appears in journals such as The Journal of Cell Biology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Cold Spring Harbor Symposia on Quantitative Biology and Journal of Clinical Investigation.
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.