Reiko Namikawa

4.7k citations
51 papers · 3.5k indexed · 1 hit paper · h-index 26
Topics
Immune Cell Function and Interaction (19 papers)T-cell and B-cell Immunology (12 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

Reiko Namikawa

51 papers receiving 3.3k citations

Hit Papers

The SCID-hu Mouse: Murine Model for the Analysis of Human...198820262000201319882505007501000

Peers

Reiko Namikawa
Comparison fields: 5 of 109
  • Immunology 1.8k
  • Virology 779
  • Molecular Biology 661
  • Genetics 602
  • Hematology 592
Replace Mark Bonyhadi with:
Mark Bonyhadi United States
M Lieberman United States
I L Weissman United States
L D Shultz United States
Kees Weijer Netherlands
J M McCune United States
Masatoshi Tateno Japan
Yosef Refaeli United States
Hideto Kaneshima United States
Xiaojiang Gao United States
Reiko Namikawa relative to Mark Bonyhadi United States Mark Bonyhadi's profile →
Citations per field
00.5×1.5×1.9×
Mark Bonyhadi · 1×
Citations per year

Countries citing papers authored by Reiko Namikawa

Since Specialization
Citations

This map shows the geographic impact of Reiko Namikawa'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 Reiko Namikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reiko Namikawa more than expected).

Fields of papers citing papers by Reiko Namikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reiko Namikawa. 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 Reiko Namikawa. The network helps show where Reiko Namikawa may publish in the future.

Co-authorship network of co-authors of Reiko Namikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Reiko Namikawa. A scholar is included among the top collaborators of Reiko Namikawa 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 Reiko Namikawa. Reiko Namikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 43
3 36
4 7
5 11
6 12
7
The role of cytokines in transplantation tolerance
2
8 37
9 18
10 55
11 89
12 107
13 67
14 6
15 14
16
The SCID-hu Mouse: Murine Model for the Analysis of Human Hematolymphoid Differentiation and Functionbreakdown →
1135
17 372
18
Ontogenic development of T and B cells and non-lymphoid cells in the white pulp of human spleen.
54
19 16
20 2

About Reiko Namikawa

Reiko Namikawa is a scholar working on Immunology, Transplantation and Virology, having authored 51 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (12 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Virology (779 citations), Immunology (1.8k citations) and Hematology (592 citations). Reiko Namikawa has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Hideto Kaneshima, M Lieberman, J M McCune, L D Shultz, I L Weissman, Joseph M. McCune, Weissman Il, Linda Rabin, Marcus O. Muench and Takashi Takahashi. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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.

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