Hiroko Hama
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
Papers in
-
- Sphingolipid Metabolism and Signaling 11
- Lipid Membrane Structure and Behavior 7
- Protein Kinase Regulation and GTPase Signaling 4
- Cell Biology 18
- Cellular transport and secretion 10
- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Daryll B. DeWald (10 shared papers)Jon Y. Takemoto (5 shared papers)Nathan L. Alderson (8 shared papers)Jeremy Thorner (2 shared papers)Bruce Horazdovsky (2 shared papers)Gregory G. Tall (2 shared papers)Tomofusa Tsuchiya (9 shared papers)T. Hastings Wilson (4 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)The Journal of Biochemistry (6 papers)Journal of Lipid Research (4 papers)Biochemical and Biophysical Research Communications (3 papers)Human Molecular Genetics (2 papers)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Hiroko Hama
57 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 108
- Cell Biology 978
- Biochemistry 332
- Neurology 323
- Molecular Biology 2.2k
- Physiology 130
Countries citing papers authored by Hiroko Hama
This map shows the geographic impact of Hiroko Hama'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 Hiroko Hama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroko Hama more than expected).
Fields of papers citing papers by Hiroko Hama
This network shows the impact of papers produced by Hiroko Hama. 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 Hiroko Hama. The network helps show where Hiroko Hama may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroko Hama, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 258 | |
| 2 | 2001 | 230 | |
| 3 | 2007 | 204 | |
| 4 | 2009 | 179 | |
| 5 | 2010 | 165 | |
| 6 | 2008 | 154 | |
| 7 | 2004 | 146 | |
| 8 | 1999 | 135 | |
| 9 | 1999 | 133 | |
| 10 | 2005 | 118 | |
| 11 | 1999 | 117 | |
| 12 | 2011 | 104 | |
| 13 | 1991 | 76 | |
| 14 | 2000 | 70 | |
| 15 | 2007 | 59 | |
| 16 | 1987 | 49 | |
| 17 | 2003 | 47 | |
| 18 | 2002 | 47 | |
| 19 | 1994 | 47 | |
| 20 | 1999 | 47 |
About Hiroko Hama
Hiroko Hama is a scholar working on Molecular Biology, Cell Biology, Biochemistry, Physiology and Genetics, having authored 57 papers that have together received 3.2k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (11 papers), Cellular transport and secretion (10 papers), Amino Acid Enzymes and Metabolism (8 papers), Lipid Membrane Structure and Behavior (7 papers), Lysosomal Storage Disorders Research (6 papers), Bacterial Genetics and Biotechnology (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Cell Biology (978 citations), Biochemistry (332 citations), Neurology (323 citations), Molecular Biology (2.2k citations) and Physiology (130 citations). Hiroko Hama has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Daryll B. DeWald, Jon Y. Takemoto, Nathan L. Alderson, Jeremy Thorner, Bruce Horazdovsky, Gregory G. Tall, Tomofusa Tsuchiya, T. Hastings Wilson, Jacek Bielawski and Glenn D. Prestwich. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Biochemistry, Journal of Lipid Research, Biochemical and Biophysical Research Communications and Human Molecular Genetics.
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.