Fumio Nakaki

2.1k citations
12 papers · 1.5k indexed · 2 hit papers · h-index 9
Topics
Pluripotent Stem Cells Research (7 papers)CRISPR and Genetic Engineering (3 papers)Immune Cell Function and Interaction (3 papers)
Partner nations
JapanSpainUnited States

In The Last Decade

Fumio Nakaki

12 papers receiving 1.5k citations

Hit Papers

Establishment of NOD-Pdcd1-/-mice as an efficient animal ...200520262012201920052011100200300

Peers

Fumio Nakaki
Comparison fields: 5 of 77
  • Molecular Biology 708
  • Oncology 591
  • Immunology 556
  • Genetics 318
  • Public Health, Environmental and Occupational Health 191
Replace David J. Pennisi with:
David J. Pennisi Australia
Minke E. Binnerts Netherlands
Hatice D. Saatcioglu United States
Marat Gorivodsky Israel
Susan Pfeifer‐Ohlsson Sweden
Odile Cohen‐Haguenauer France
Madhuri Wadehra United States
Paulina A. Latos Austria
Valeriu B. Cismasiu Romania
Catherine M. Browne Australia
Fumio Nakaki relative to David J. Pennisi Australia David J. Pennisi's profile →
Citations per field
00.5×4.2×
David J. Pennisi · 1×
Citations per year

Countries citing papers authored by Fumio Nakaki

Since Specialization
Citations

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

Fields of papers citing papers by Fumio Nakaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumio Nakaki

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 6
3 86
4 78
5 99
6 129
7 53
8 228
9
PD-1 and LAG-3 inhibitory co-receptors act synergistically to prevent autoimmunity in micebreakdown →
255
10 220
11 8
12
Establishment of NOD-Pdcd1-/-mice as an efficient animal model of type I diabetesbreakdown →
365

About Fumio Nakaki

Fumio Nakaki is a scholar working on Immunology, Genetics and Molecular Biology, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (556 citations), Oncology (591 citations) and Genetics (318 citations). Fumio Nakaki has collaborated with scholars based in Japan, Spain and United States. Frequent co-authors include Taku Okazaki, Taku Yoshida, Tasuku Honjo, Mitinori Saitou, Hiroshi Hiai, Jian Wang, Yukihiro Yabuta, Hiroshi Ohta, Katsuhiko Hayashi and Il‐mi Okazaki. 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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