Ken Furukawa

715 citations
35 papers · 577 indexed · h-index 10
Topics
Glycosylation and Glycoproteins Research (15 papers)Carbohydrate Chemistry and Synthesis (7 papers)Erythrocyte Function and Pathophysiology (5 papers)
Partner nations
JapanUnited States

In The Last Decade

Ken Furukawa

32 papers receiving 554 citations

Peers

Ken Furukawa
Comparison fields: 5 of 69
  • Molecular Biology 414
  • Physiology 146
  • Organic Chemistry 131
  • Immunology 101
  • Cardiology and Cardiovascular Medicine 66
Replace Claus J. Schmitges with:
Claus J. Schmitges United States
G. J. M. Hooghwinkel Netherlands
Jeffrey H. M. Charuk Canada
F. D. Ziegler United States
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W. J. Salsgiver United States
Parker Cw Australia
Fumiko Matsuzawa Japan
Misao Ide Japan
C.H. Spilman United States
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Citations per field
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Claus J. Schmitges · 1×
Citations per year

Countries citing papers authored by Ken Furukawa

Since Specialization
Citations

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

Fields of papers citing papers by Ken Furukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Furukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Furukawa. A scholar is included among the top collaborators of Ken Furukawa 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 Ken Furukawa. Ken Furukawa 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 10
2 0
3 7
4 18
5 162
6 7
7 53
8 9
9 165
10
Studies on secretor specific H antigen of water-soluble blood group substances. I. Findings of anti-H(Se) precipitin in eel sera.:Findings of Anti-H(Se) Precipitin in Eel Sera
0
11 1
12 0
13 1
14 1
15
A new O(H)substance-decomposing enzyme produced by an aerobic bacterium,pt.2.
3
16 9
17 10
18 5
19 16
20 13

About Ken Furukawa

Ken Furukawa is a scholar working on Hematology, Biochemistry and Biotechnology, having authored 35 papers that have together received 577 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (15 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Erythrocyte Function and Pathophysiology (5 papers). The work is most often cited by research in Molecular Biology (414 citations), Physiology (146 citations) and Immunology (101 citations). Ken Furukawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Naohisa Kochibe, Munekazu Shigekawa, Junichi Taniguchi, Shoei ISEKI, Shin Yazawa, Shigeru Yamamoto, Takayuki Asao, Ragupathy Madiyalakan, Khushi L. Matta and Kei-Ichi Fujisawa. Their work appears in journals such as Biochemistry, Cancer and Methods in enzymology on CD-ROM/Methods in enzymology.

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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