N Nagata
- Immunology
- Hematology top 5%
- Genetics top 10%
- Molecular Biology
- Oncology
- Co-authors
- Susumu IkeharaR A GoodKikuya SugiuraHiroko HishaYuichiro AdachiTadao IshidaMuneo InabaNaoki Hosaka
- Topics
- Liver physiology and pathology (2 papers)RNA Interference and Gene Delivery (2 papers)Immune Cell Function and Interaction (2 papers)
- Cited by
- HematologyGeneticsImmunology
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
N Nagata
14 papers receiving 483 citations
Peers
Comparison fields: 5 of 67
- Immunology 197
- Hematology 184
- Genetics 113
- Molecular Biology 103
- Oncology 76
Countries citing papers authored by N Nagata
This map shows the geographic impact of N Nagata'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 N Nagata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Nagata more than expected).
Fields of papers citing papers by N Nagata
This network shows the impact of papers produced by N Nagata. 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 N Nagata. The network helps show where N Nagata may publish in the future.
Co-authorship network of co-authors of N Nagata
This figure shows the co-authorship network connecting the top 25 collaborators of N Nagata. A scholar is included among the top collaborators of N Nagata 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 N Nagata. N Nagata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Effect of granulocyte-colony stimulating factor on empiric therapy with flomoxef sodium and tobramycin in febrile neutropenic patients with hematological malignancies. Kan-etsu Hematological Disease and Infection Study Group. | 11 |
| 2 | 6 | |
| 3 | 31 | |
| 4 | Augmentation of antitumor immunity using genetically M-CSF-expressing L1210 cells. | 11 |
| 5 | 25 | |
| 6 | 69 | |
| 7 | 17 | |
| 8 | 53 | |
| 9 | 58 | |
| 10 | 155 | |
| 11 | 4 | |
| 12 | Serial changes of the serum macrophage colony-stimulating factor level after cytoreductive chemotherapy. | 6 |
| 13 | Spontaneous rupture of the metastatic nodule on the peritoneal surface secondary to hepatocellular carcinoma. | 7 |
| 14 | 44 | |
| 15 | Effect of T-cell factors on the induction of anti-ssDNA antibodies by bacterial lipopolysaccharide. | 0 |
About N Nagata
N Nagata is a scholar working on Aging, Hepatology and Immunology, having authored 15 papers that have together received 497 indexed citations. Recurring topics across this work include Liver physiology and pathology (2 papers), RNA Interference and Gene Delivery (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (184 citations), Genetics (113 citations) and Immunology (197 citations). N Nagata has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Susumu Ikehara, R A Good, Kikuya Sugiura, Hiroko Hisha, Yuichiro Adachi, Tadao Ishida, Muneo Inaba, Naoki Hosaka, U Hurtenbach and Ernst Gleichmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.
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.