Takuji Naruse
- Molecular Biology
- Hematology top 2%
- Nephrology top 2%
- Genetics top 5%
- Immunology top 10%
- Co-authors
- Yuzo MiyakawaJun‐ichi TamuraHirokazu MurakamiYoshihisa NojimaMorio SawamuraToshihiko NagasawaJun TsuchiyaAkira Maezawa
- Topics
- Renal Diseases and Glomerulopathies (27 papers)Multiple Myeloma Research and Treatments (14 papers)Acute Myeloid Leukemia Research (12 papers)
- Cited by
- NephrologyHematologyGenetics
- Journals
- The Journal of Experimental MedicineThe Journal of ImmunologyBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesKenya
In The Last Decade
Takuji Naruse
122 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 639
- Hematology 404
- Nephrology 356
- Genetics 291
- Immunology 275
Countries citing papers authored by Takuji Naruse
This map shows the geographic impact of Takuji Naruse'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 Takuji Naruse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuji Naruse more than expected).
Fields of papers citing papers by Takuji Naruse
This network shows the impact of papers produced by Takuji Naruse. 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 Takuji Naruse. The network helps show where Takuji Naruse may publish in the future.
Co-authorship network of co-authors of Takuji Naruse
This figure shows the co-authorship network connecting the top 25 collaborators of Takuji Naruse. A scholar is included among the top collaborators of Takuji Naruse 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 Takuji Naruse. Takuji Naruse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 19 | |
| 4 | 17 | |
| 5 | 22 | |
| 6 | Morphological Changes of Erythrocytes and Reticulocytosis in Zinc-Deficient Rats | 4 |
| 7 | Successful low-dose cytosine arabinoside treatment in a patient with acute leukemia from idiopathic myelofibrosis. | 3 |
| 8 | 10 | |
| 9 | 21 | |
| 10 | 5 | |
| 11 | 37 | |
| 12 | 0 | |
| 13 | 9 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 4 | |
| 17 | 27 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 4 |
About Takuji Naruse
Takuji Naruse is a scholar working on Nephrology, Hematology and Developmental Biology, having authored 125 papers that have together received 2.0k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (27 papers), Multiple Myeloma Research and Treatments (14 papers) and Acute Myeloid Leukemia Research (12 papers). The work is most often cited by research in Nephrology (356 citations), Hematology (404 citations) and Genetics (291 citations). Takuji Naruse has collaborated with scholars based in Japan, United States and Kenya. Frequent co-authors include Yuzo Miyakawa, Jun‐ichi Tamura, Hirokazu Murakami, Yoshihisa Nojima, Morio Sawamura, Toshihiko Nagasawa, Jun Tsuchiya, Akira Maezawa, Akito Maeshima and Seiichi Shibata. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Biochemical and Biophysical Research Communications.
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.