Kayoko Kojima

560 citations
11 papers · 458 indexed · h-index 9
Topics
Monoclonal and Polyclonal Antibodies Research (2 papers)Amino Acid Enzymes and Metabolism (1 paper)Protein Kinase Regulation and GTPase Signaling (1 paper)
Partner nations
Japan

In The Last Decade

Kayoko Kojima

10 papers receiving 431 citations

Peers

Kayoko Kojima
Comparison fields: 5 of 74
  • Molecular Biology 207
  • Surgery 69
  • Reproductive Medicine 63
  • Immunology 60
  • Oncology 59
Replace Jun Ouyang with:
Jun Ouyang China
Stefanie Reif Germany
M C Feinstein France
Eva Morán Italy
Carlos M. Laborde Spain
Hari Kosanam Canada
A. Papanastasiou-Diamandi Canada
Stacy L. Throm United States
Kimmo Jaakkola Finland
Neelam Tejpal United States
Kayoko Kojima relative to Jun Ouyang China Jun Ouyang's profile →
Citations per field
00.5×5.3×
Jun Ouyang · 1×
Citations per year

Countries citing papers authored by Kayoko Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Kayoko Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayoko Kojima

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 10
2 20
3 40
4 148
5
A highly sensitive method to assay FK-506 levels in plasma.
139
6 8
7
EFFECTS OF ANTISERUM TO COLLAGEN ON DOG GINGIVAL TISSUES
1
8 9
9
Monoclonal antibodies to surface antigens of small cell carcinoma of the lung.
57
10 4
11 22

About Kayoko Kojima

Kayoko Kojima is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Bioengineering, having authored 11 papers that have together received 458 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Transplantation (53 citations), Reproductive Medicine (63 citations) and Obstetrics and Gynecology (36 citations). Kayoko Kojima has collaborated with scholars based in Japan. Frequent co-authors include Ichiro Kudo, Gen‐ichi Atsumi, Makoto Murakami, Kyoichi Tamura, Kenichi Nagase, Hiroshi Tanaka, Minoru Kobayashi, Kazuhiko Hashimoto, K Iwasaki and Misao Niwa. Their work appears in journals such as Journal of Biological Chemistry, Journal of Chromatography A and Human Reproduction.

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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