Mitsuru Nakajima

981 total citations
52 papers, 745 citations indexed

About

Mitsuru Nakajima is a scholar working on Nephrology, Molecular Biology and Hematology. According to data from OpenAlex, Mitsuru Nakajima has authored 52 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nephrology, 12 papers in Molecular Biology and 12 papers in Hematology. Recurrent topics in Mitsuru Nakajima's work include Renal Diseases and Glomerulopathies (14 papers), Glycosylation and Glycoproteins Research (9 papers) and Blood groups and transfusion (6 papers). Mitsuru Nakajima is often cited by papers focused on Renal Diseases and Glomerulopathies (14 papers), Glycosylation and Glycoproteins Research (9 papers) and Blood groups and transfusion (6 papers). Mitsuru Nakajima collaborates with scholars based in Japan, Australia and United States. Mitsuru Nakajima's co-authors include Kazunori Iida, Shigeru Yamago, Jun‐ichi Yoshida, Akira Yoshioka, K. Nishi, Yungwan Kwak, Takeshi Fukuda, Atsushi Goto, Hidekazu Kamitsuji and Tim D. Hewitson and has published in prestigious journals such as Journal of the American Chemical Society, Neurology and Macromolecules.

In The Last Decade

Mitsuru Nakajima

52 papers receiving 723 citations

Peers

Mitsuru Nakajima
Comparison fields: 5 of 85
  • Organic Chemistry 233
  • Molecular Biology 188
  • Physiology 108
  • Nephrology 107
  • Hematology 103
Replace Chiara Garrovo with:
Chiara Garrovo Italy
Marie–Dominique Appay France
Marcel Geyer Germany
Shinya Yamamoto Japan
Shu Takahashi Japan
Sándor Sávay United States
Hiromasa Yabe Japan
Shinya Yano Japan
Yanqun Li China
Manouchehr Mirshahi France
Chiara Garrovo Italy View profile →
Citations per field, relative to Mitsuru Nakajima
Mitsuru Nakajima · 1×
Citations per year, relative to Mitsuru Nakajima
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Countries citing papers authored by Mitsuru Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuru Nakajima

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuru Nakajima. A scholar is included among the top collaborators of Mitsuru Nakajima 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 Mitsuru Nakajima. Mitsuru Nakajima 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 7
2 1
3 17
4 1
5 1
6 32
7 1
8 11
9
PLASMA P-SELECTIN IN CHILDREN WITH HEMOLYTIC UREMIC SYN-DROME CAUSED BY ESCHERICHIA COLI O157 : H7
1
10 40
11 15
12 20
13 8
14 26
15 2
16 17
17 10
18 8
19 15
20 19

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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