Kiyohiro Watanabe

1.1k citations
24 papers · 927 indexed · h-index 13

Kiyohiro Watanabe

24 papers receiving 802 citations

Peers

Kiyohiro Watanabe
Comparison fields: 5 of 64
  • Hematology 172
  • Molecular Biology 788
  • Physiology 248
  • Organic Chemistry 247
  • Radiology, Nuclear Medicine and Imaging 178
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Akira Makita Japan
Hollis R. Williams United States
Irma M. Grossi United States
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Citations per field
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Citations per year

Countries citing papers authored by Kiyohiro Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Kiyohiro Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kiyohiro Watanabe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kiyohiro Watanabe Line = papers co-authored together Kiyohiro Watanabe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
[LIPIDBANK for Web, the newly developed lipid database].
200213
2 200110
3 200053
4 19955
5 19952
6 19931
7 19901
8 19909
9 198742
10 19849
11 198468
12
Glycosphingolipids in clonal variants of rat fibrosarcoma cells with different transplantability.
19836
13 198215
14
Recent studies of glycolipid and glycoprotein profiles and characterization of the major glycolipid antigen in gastric cancer of a patient of blood group genotype pp (Tja-) first studied in 1951.
198223
15
Neutral fucolipids and fucogangliosides of rat hepatoma HTC and H35 cells, rat liver, and hepatocytes.
197943
16 197935
17 1978166
18 197314
19 1973158
20 1972124

About Kiyohiro Watanabe

Kiyohiro Watanabe is a scholar working on Hematology, Molecular Biology and Physiology, having authored 24 papers that have together received 927 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (21 papers), Erythrocyte Function and Pathophysiology (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Sphingolipid Metabolism and Signaling (4 papers), Blood groups and transfusion (4 papers), Lipid Membrane Structure and Behavior (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Hematology (172 citations), Molecular Biology (788 citations) and Physiology (248 citations). Kiyohiro Watanabe has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Sen‐itiroh Hakomori, Klaus Stellner, Roger A. Laine, Heiner Niemann, Ten Feizi, Robert A. Childs, Reiji Kannagi, Etsuko Yasugi, Edward Nudelman and Mieko Oshima. Their work appears in journals such as Biochemistry, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

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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