Masayuki Kitajima

517 citations
10 papers · 430 indexed · h-index 6
Topics
Electronic Packaging and Soldering Technologies (4 papers)3D IC and TSV technologies (2 papers)Glycosylation and Glycoproteins Research (1 paper)
Partner nations
Japan

In The Last Decade

Masayuki Kitajima

8 papers receiving 417 citations

Peers

Masayuki Kitajima
Comparison fields: 5 of 61
  • Genetics 277
  • Molecular Biology 211
  • Endocrinology, Diabetes and Metabolism 75
  • Reproductive Medicine 58
  • Electrical and Electronic Engineering 58
Replace Petra Kiesel with:
Petra Kiesel Germany
Kristin Hartmann Germany
T. Wada Japan
Katharina Debowski Germany
L.A. McPartlin United States
Daisuke Sakano Japan
Laïla El Khattabi France
Claudine Fear United Kingdom
Linda Ramsdell United States
Tamar Schwartz Israel
Masayuki Kitajima relative to Petra Kiesel Germany Petra Kiesel's profile →
Citations per field
00.5×4.4×
Petra Kiesel · 1×
Citations per year

Countries citing papers authored by Masayuki Kitajima

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Kitajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Kitajima

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 12
3
Development of Sn-Zn-Al Lead-Free Solder Alloys
25
4 15
5
2
6 7
7 5
8 1
9 5
10 357

About Masayuki Kitajima

Masayuki Kitajima is a scholar working on Industrial and Manufacturing Engineering, Civil and Structural Engineering and Electrical and Electronic Engineering, having authored 10 papers that have together received 430 indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (4 papers), 3D IC and TSV technologies (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (277 citations), Reproductive Medicine (58 citations) and Endocrinology, Diabetes and Metabolism (75 citations). Masayuki Kitajima has collaborated with scholars based in Japan. Frequent co-authors include Shin‐ichiro Honda, Masatoshi Nomura, Tsuneo Omura, Ken-ichirou Morohashi, Hiroyuki Takeya, K. Kobayashi, S. Masuda, Shizu Aikawa, Hisashi Doi and T. Kobayashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Microelectronics Reliability.

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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