Hiroshi Kitagawa
- Molecular Biology top 0.5%
- Cell Biology top 0.05%
- Organic Chemistry top 1%
- Genetics top 1%
- Immunology top 2%
- Co-authors
- Kazuyuki SugaharaTadahisa MikamiJames C. PaulsonToru UyamaTomomi IzumikawaJun‐ichi TamuraSatomi NadanakaShinji Miyata
- Topics
- Proteoglycans and glycosaminoglycans research (133 papers)Glycosylation and Glycoproteins Research (124 papers)Carbohydrate Chemistry and Synthesis (40 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hiroshi Kitagawa
374 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 7.8k
- Cell Biology 6.1k
- Organic Chemistry 1.8k
- Genetics 1.5k
- Immunology 1.5k
Countries citing papers authored by Hiroshi Kitagawa
This map shows the geographic impact of Hiroshi Kitagawa'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 Hiroshi Kitagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Kitagawa more than expected).
Fields of papers citing papers by Hiroshi Kitagawa
This network shows the impact of papers produced by Hiroshi Kitagawa. 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 Hiroshi Kitagawa. The network helps show where Hiroshi Kitagawa may publish in the future.
Co-authorship network of co-authors of Hiroshi Kitagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kitagawa. A scholar is included among the top collaborators of Hiroshi Kitagawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hiroshi Kitagawa. Hiroshi Kitagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 17 | |
| 9 | 12 | |
| 10 | 33 | |
| 11 | 12 | |
| 12 | 52 | |
| 13 | Control of PD-L1 Expression by Oncogenic Activation of the AKT–mTOR Pathway in Non–Small Cell Lung Cancerbreakdown → | 643 |
| 14 | 24 | |
| 15 | 68 | |
| 16 | 2 | |
| 17 | [Biosynthetic mechanism of sulfated glycosaminoglycans]. | 2 |
| 18 | 158 | |
| 19 | Effect of repeated administration of monomethyl-aminoantipyrine on the activities of gamma-glutamyltranspeptidase and microsomal drug metabolizing enzymes in rat liver. | 2 |
| 20 | Induction of NADH-dependent aldehyde reductase by successive administration of barbiturates in rat brain. | 2 |
About Hiroshi Kitagawa
Hiroshi Kitagawa is a scholar working on Cell Biology, Immunology and Allergy and Molecular Biology, having authored 386 papers that have together received 13.7k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (133 papers), Glycosylation and Glycoproteins Research (124 papers) and Carbohydrate Chemistry and Synthesis (40 papers). The work is most often cited by research in Cell Biology (6.1k citations), Immunology and Allergy (859 citations) and Molecular Biology (7.8k citations). Hiroshi Kitagawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuyuki Sugahara, Tadahisa Mikami, James C. Paulson, Toru Uyama, Tomomi Izumikawa, Jun‐ichi Tamura, Satomi Nadanaka, Shinji Miyata, Kazuya Nomura and Souhei Mizuguchi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Advanced Materials.
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.