Shoei ISEKI

912 citations
95 papers · 586 indexed · h-index 14
Topics
Glycosylation and Glycoproteins Research (28 papers)Bacteriophages and microbial interactions (18 papers)Blood groups and transfusion (16 papers)
Partner nations
JapanUnited States

In The Last Decade

Shoei ISEKI

82 papers receiving 526 citations

Peers

Shoei ISEKI
Comparison fields: 5 of 73
  • Molecular Biology 267
  • Hematology 116
  • Physiology 107
  • Ecology 98
  • Genetics 97
Replace G. I. Pardoe with:
G. I. Pardoe United Kingdom
Marcus S. Brooke United States
B. A. L. Hurn United Kingdom
K.H. Sreedhara Swamy United States
Michael Largen United States
Swagata Bose India
Hans Faillard Germany
Tsunetake Sugimori Japan
Daelynn R. Buelow United States
Phyllis S. Grushoff United States
Shoei ISEKI relative to G. I. Pardoe United Kingdom G. I. Pardoe's profile →
Citations per field
00.5×5.8×
G. I. Pardoe · 1×
Citations per year

Countries citing papers authored by Shoei ISEKI

Since Specialization
Citations

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

Fields of papers citing papers by Shoei ISEKI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoei ISEKI

This figure shows the co-authorship network connecting the top 25 collaborators of Shoei ISEKI. A scholar is included among the top collaborators of Shoei ISEKI 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 Shoei ISEKI. Shoei ISEKI 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 7
2 4
3 8
4 4
5
Examples of blood groups p and Pk in Japanese families.
7
6 1
7 0
8 1
9 3
10 13
11
A new O(H)substance-decomposing enzyme produced by an aerobic bacterium,pt.2.
3
12 9
13 3
14 9
15
The Transduction and Lysogenic Conversion in Salmonella Group E by means of Epsilon 34 Phage.
0
16 20
17 25
18 1
19 28
20 2

About Shoei ISEKI

Shoei ISEKI is a scholar working on Clinical Biochemistry, Hematology and Biotechnology, having authored 95 papers that have together received 586 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (28 papers), Bacteriophages and microbial interactions (18 papers) and Blood groups and transfusion (16 papers). The work is most often cited by research in Endocrinology (68 citations), Hematology (116 citations) and Biotechnology (59 citations). Shoei ISEKI has collaborated with scholars based in Japan and United States. Frequent co-authors include Tatsuo Sakai, Ken Furukawa, Koichiro Kishi, Shigeru Yamamoto, Hisao Takizawa, Kei-Ichi Fujisawa, Naohisa Kochibe, Tsukasa Ikeda, Philip Levine and Haruko Yamamoto. Their work appears in journals such as Nature, Carbohydrate Research and The Journal of Biochemistry.

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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