Hideki Nakakuma

2.1k total citations
74 papers, 1.5k citations indexed

About

Hideki Nakakuma is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Hideki Nakakuma has authored 74 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Immunology, 19 papers in Hematology and 17 papers in Molecular Biology. Recurrent topics in Hideki Nakakuma's work include Complement system in diseases (30 papers), Adenosine and Purinergic Signaling (14 papers) and Immune Cell Function and Interaction (13 papers). Hideki Nakakuma is often cited by papers focused on Complement system in diseases (30 papers), Adenosine and Purinergic Signaling (14 papers) and Immune Cell Function and Interaction (13 papers). Hideki Nakakuma collaborates with scholars based in Japan, United States and Germany. Hideki Nakakuma's co-authors include Tatsuya Kawaguchi, Shoichi Nagakura, Kentaro Horikawa, Tadashi Kagimoto, Kiyoshi Takatsuki, Taroh Kinoshita, Michael Andreeff, Kensuke Kojima, Nobuyoshi Hanaoka and Norihiro Iwamoto and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Hideki Nakakuma

74 papers receiving 1.5k citations

Peers

Hideki Nakakuma
Comparison fields: 5 of 85
  • Immunology 899
  • Hematology 447
  • Molecular Biology 432
  • Nephrology 371
  • Genetics 293
Replace E Ueda with:
E Ueda Japan
Katrin Moser Germany
Gary C. Starling United States
Rachael M. Lane Australia
P. Teisberg Norway
Elena Pasqualetto Italy
Polly Pine United States
Aristeidis Chaidos United Kingdom
Lacramioara Ivanciu United States
Elaine J. Schattner United States
E Ueda Japan View profile →
Citations per field, relative to Hideki Nakakuma
Hideki Nakakuma · 1×
Citations per year, relative to Hideki Nakakuma
Hideki Nakakuma · 1×

Countries citing papers authored by Hideki Nakakuma

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Nakakuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Nakakuma

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Nakakuma. A scholar is included among the top collaborators of Hideki Nakakuma 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 Hideki Nakakuma. Hideki Nakakuma 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
# Work Indexed citations
1 1
2 3
3 11
4 29
5 71
6 38
7 7
8 16
9 25
10 1
11 16
12 186
13 82
14 11
15 19
16 15
17 14
18 10
19 4
20 23

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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