Shoichi Nagakura
- Immunology top 5%
- Hematology top 5%
- Nephrology top 2%
- Genetics top 10%
- Physiology top 5%
- Co-authors
- Hideki NakakumaKentaro HorikawaTadashi KagimotoTatsuya KawaguchiNorihiro IwamotoKiyoshi TakatsukiNeal S. YoungDaniel E. Dunn
- Topics
- Complement system in diseases (18 papers)Adenosine and Purinergic Signaling (10 papers)Immune Cell Function and Interaction (7 papers)
- Cited by
- NephrologyHematologyImmunology
- Partner nations
- JapanUnited States
In The Last Decade
Shoichi Nagakura
30 papers receiving 697 citations
Peers
Comparison fields: 5 of 45
- Immunology 536
- Hematology 319
- Nephrology 245
- Genetics 150
- Physiology 103
Countries citing papers authored by Shoichi Nagakura
This map shows the geographic impact of Shoichi Nagakura'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 Shoichi Nagakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoichi Nagakura more than expected).
Fields of papers citing papers by Shoichi Nagakura
This network shows the impact of papers produced by Shoichi Nagakura. 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 Shoichi Nagakura. The network helps show where Shoichi Nagakura may publish in the future.
Co-authorship network of co-authors of Shoichi Nagakura
This figure shows the co-authorship network connecting the top 25 collaborators of Shoichi Nagakura. A scholar is included among the top collaborators of Shoichi Nagakura 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 Shoichi Nagakura. Shoichi Nagakura 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 | 16 | |
| 3 | 6 | |
| 4 | [Serum sickness induced by rituximab infusion; report of two cases with hematological malignancies]. | 6 |
| 5 | 1 | |
| 6 | 55 | |
| 7 | 21 | |
| 8 | 41 | |
| 9 | 49 | |
| 10 | 7 | |
| 11 | 39 | |
| 12 | 17 | |
| 13 | 8 | |
| 14 | T-lymphoblastic lymphoma/leukemia cells negative for CD52 and CD59. | 2 |
| 15 | 5 | |
| 16 | 31 | |
| 17 | 30 | |
| 18 | Altered expression of protein kinase C in adult T-cell leukemia cells. | 6 |
| 19 | Increased plasma decay-accelerating factor levels in paroxysmal nocturnal hemoglobinuria. | 9 |
| 20 | 8 |
About Shoichi Nagakura
Shoichi Nagakura is a scholar working on Physiology, Immunology and Nephrology, having authored 30 papers that have together received 718 indexed citations. Recurring topics across this work include Complement system in diseases (18 papers), Adenosine and Purinergic Signaling (10 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Nephrology (245 citations), Hematology (319 citations) and Immunology (536 citations). Shoichi Nagakura has collaborated with scholars based in Japan and United States. Frequent co-authors include Hideki Nakakuma, Kentaro Horikawa, Tadashi Kagimoto, Tatsuya Kawaguchi, Norihiro Iwamoto, Kiyoshi Takatsuki, Neal S. Young, Daniel E. Dunn, Spencer W. Green and Piernicola Boccuni. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.
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.