Kiyohide Kojima

1.5k citations
72 papers · 1.3k indexed · h-index 22
Topics
Glycosylation and Glycoproteins Research (8 papers)Liver Disease Diagnosis and Treatment (6 papers)Lipid Membrane Structure and Behavior (6 papers)

In The Last Decade

Kiyohide Kojima

68 papers receiving 1.2k citations

Peers

Kiyohide Kojima
Comparison fields: 5 of 111
  • Molecular Biology 755
  • Cell Biology 224
  • Physiology 149
  • Oncology 107
  • Surgery 100
Replace Thierry de Barsy with:
Thierry de Barsy Belgium
H J Showell United States
Hungyi Shau United States
Bernadine J. Wisnieski United States
J Wietzerbin France
Reiko Mineki Japan
Alan P. Johnstone United Kingdom
Kazukiyo Onodera Japan
Clifford D. Wright United States
Jean‐Claude Mani France
Kiyohide Kojima relative to Thierry de Barsy Belgium Thierry de Barsy's profile →
Citations per field
00.5×1.5×
Thierry de Barsy · 1×
Citations per year

Countries citing papers authored by Kiyohide Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Kiyohide Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyohide Kojima

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyohide Kojima. A scholar is included among the top collaborators of Kiyohide Kojima 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 Kiyohide Kojima. Kiyohide Kojima 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
#WorkIndexed citations
1 2
2 80
3 46
4 63
5 8
6 13
7 72
8 51
9 25
10 2
11 21
12 30
13 5
14 22
15 9
16 2
17
Heterotransplantation of the Human Stomach Carcinomas into Nude Mice I-Studies on Transplantability, Growth Patterns and Histology
1
18
Study on sialic acid-containing glycolipid in rat ascites hepatoma cells.
3
19 1
20
A difference in the architecture of surface membrane between two cell types of rat ascites hepatomas.
12

About Kiyohide Kojima

Kiyohide Kojima is a scholar working on Biotechnology, Biochemistry and Hepatology, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Liver Disease Diagnosis and Treatment (6 papers) and Lipid Membrane Structure and Behavior (6 papers). The work is most often cited by research in Cell Biology (224 citations), Biochemistry (80 citations) and Molecular Biology (755 citations). Kiyohide Kojima has collaborated with scholars based in Japan, United Kingdom and Argentina. Frequent co-authors include Chikako Sato, Shonen Yoshida, Keiko Tamiya‐Koizumi, Kimiko Nishizawa, Hayato Umekawa, T Matsuzawa, Akihiko Maekawa, Motoshi Suzuki, Kinya Koizumi and Katsuyuki Tamai. Their work appears in journals such as The Journal of Cell Biology, JNCI Journal of the National Cancer Institute and PLANT PHYSIOLOGY.

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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