Shinichi Kitajima

1.9k total citations
47 papers, 1.5k citations indexed

About

Shinichi Kitajima is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Shinichi Kitajima has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 14 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Shinichi Kitajima's work include Glycosylation and Glycoproteins Research (9 papers), Leprosy Research and Treatment (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Shinichi Kitajima is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), Leprosy Research and Treatment (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Shinichi Kitajima collaborates with scholars based in Japan, United States and Myanmar. Shinichi Kitajima's co-authors include Masamichi Goto, Suguru Yonezawa, Mitsuharu Nomoto, Hideaki Tsutsumida, Michael A. Hollingsworth, Michiyo Higashi, Thomas C. Caffrey, Shingo Yonezawa, Sumika Matsukita and Sho Kitamoto and has published in prestigious journals such as The Journal of Immunology, Neurology and Cancer Research.

In The Last Decade

Shinichi Kitajima

45 papers receiving 1.4k citations

Peers

Shinichi Kitajima
Comparison fields: 5 of 113
  • Molecular Biology 560
  • Oncology 374
  • Surgery 343
  • Pulmonary and Respiratory Medicine 290
  • Immunology 210
Replace Monica Huszar with:
Monica Huszar Israel
Ying‐Cheng Chiang Taiwan
Jingjing Qu China
Richard Seonghun Nho United States
Henrik Hellquist Sweden
Qiang Qu China
Amiq Gazdhar Switzerland
Hee Jeong South Korea
Kenkichi Koiso Japan
Terje Haug Norway
Monica Huszar Israel View profile →
Citations per field, relative to Shinichi Kitajima
Shinichi Kitajima · 1×
Citations per year, relative to Shinichi Kitajima
Shinichi Kitajima · 1×

Countries citing papers authored by Shinichi Kitajima

Since Specialization
Citations

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

Fields of papers citing papers by Shinichi Kitajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinichi Kitajima

This figure shows the co-authorship network connecting the top 25 collaborators of Shinichi Kitajima. A scholar is included among the top collaborators of Shinichi 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 Shinichi Kitajima. Shinichi Kitajima 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 44
2 81
3 62
4 41
5 41
6 5
7 42
8 0
9 10
10 91
11
Micropapillary pattern (MPP) is an excellent predictor of a poor prognosis in lung adenocarcinoma, and even stronger evidence is loss of SP-A expression in MPP.
1
12 47
13 56
14 10
15 34
16 31
17 17
18 19
19 8
20 2

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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