Hideji Fujiwara
- Physiology top 5%
- Lysosomal Storage Disorders Research 15
- Physiology top 5%
- Lysosomal Storage Disorders Research 15
- Nephrology top 5%
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology 4
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 5
- Sphingolipid Metabolism and Signaling 5
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- Carbohydrate Chemistry and Synthesis 6
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- Cellular transport and secretion 6
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- Mass Spectrometry Techniques and Applications 5
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- Diet, Metabolism, and Disease 4
- Co-authors
- Rohini SidhuDaniel S. OryJean E. SchafferJessie ZhangBrian J. DeBoschShihshieh HuangR. Eric CernyS. M. Brown
- Cited by
- PhysiologyNephrology
- Journals
- Journal of Agricultural and Food Chemistry (6 papers)Journal of Lipid Research (4 papers)Tetrahedron (2 papers)
- Partner nations
- United StatesJapanSpain
In The Last Decade
Hideji Fujiwara
75 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 127
- Physiology 656
- Physiology 110
- Nephrology 126
- Biochemistry 116
- Molecular Biology 931
Countries citing papers authored by Hideji Fujiwara
This map shows the geographic impact of Hideji Fujiwara'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 Hideji Fujiwara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideji Fujiwara more than expected).
Fields of papers citing papers by Hideji Fujiwara
This network shows the impact of papers produced by Hideji Fujiwara. 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 Hideji Fujiwara. The network helps show where Hideji Fujiwara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideji Fujiwara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2022 | 8 | |
| 3 | 2021 | 22 | |
| 4 | 2021 | 15 | |
| 5 | 2019 | 12 | |
| 6 | 2018 | 16 | |
| 7 | 2018 | 7 | |
| 8 | 2017 | 17 | |
| 9 | 2017 | 62 | |
| 10 | 2017 | 17 | |
| 11 | 2017 | 31 | |
| 12 | 2015 | 93 | |
| 13 | 2015 | 49 | |
| 14 | 2014 | 20 | |
| 15 | 2014 | 33 | |
| 16 | 2011 | 198 | |
| 17 | 2008 | 16 | |
| 18 | 2002 | 8 | |
| 19 | 1991 | 4 | |
| 20 | 4,5-ジヒドロ-3,4,5-トリフェニルフラン-2(3H)-オン類のジアステレオマーの合成 | 1977 | 0 |
About Hideji Fujiwara
Hideji Fujiwara is a scholar working on Biochemistry, Physiology and Physiology, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (15 papers), Carbohydrate Chemistry and Synthesis (6 papers), Cellular transport and secretion (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Physiology (656 citations), Physiology (110 citations) and Nephrology (126 citations). Hideji Fujiwara has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Rohini Sidhu, Daniel S. Ory, Jean E. Schaffer, Jessie Zhang, Brian J. DeBosch, Shihshieh Huang, R. Eric Cerny, S. M. Brown, Joel E. Ream and Anuradha Raman. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Lipid Research, Tetrahedron, Nature Communications and Journal of Biological Chemistry.
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.