Mariko Kudo

995 total citations
20 papers, 743 citations indexed

About

Mariko Kudo is a scholar working on Organic Chemistry, Physiology and Molecular Biology. According to data from OpenAlex, Mariko Kudo has authored 20 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 10 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Mariko Kudo's work include Carbohydrate Chemistry and Synthesis (10 papers), Lysosomal Storage Disorders Research (9 papers) and Glycosylation and Glycoproteins Research (5 papers). Mariko Kudo is often cited by papers focused on Carbohydrate Chemistry and Synthesis (10 papers), Lysosomal Storage Disorders Research (9 papers) and Glycosylation and Glycoproteins Research (5 papers). Mariko Kudo collaborates with scholars based in United States, Japan and United Kingdom. Mariko Kudo's co-authors include William M. Canfield, Nancy Dahms, Russell Gotschall, Richard N. Bohnsack, Bruce A. Roe, Huaqin Pan, Ming Bao, Ying Fu, Anil D’Souza and Nathan Gumlaw and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Mariko Kudo

19 papers receiving 725 citations

Peers

Mariko Kudo
Comparison fields: 5 of 70
  • Physiology 469
  • Molecular Biology 329
  • Cell Biology 286
  • Physiology 217
  • Organic Chemistry 176
Replace Mukarram El-Banna with:
Mukarram El-Banna United States
Jennifer A. Wiseman United States
Daniëlle te Vruchte United Kingdom
B. Kustermann‐Kuhn Germany
Leanne K. Hein Australia
Kyle Peake Canada
Takanobu Otomo Japan
Gabriele Reinkensmeier United Kingdom
Amy Y. Huang United States
Harold A. Taylor United States
Mukarram El-Banna United States View profile →
Citations per field, relative to Mariko Kudo
Mariko Kudo · 1×
Citations per year, relative to Mariko Kudo
Mariko Kudo · 1×

Countries citing papers authored by Mariko Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariko Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Kudo. A scholar is included among the top collaborators of Mariko Kudo 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 Mariko Kudo. Mariko Kudo 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
# Work Indexed citations
1 1
2 8
3 33
4 54
5 14
6 60
7 133
8 44
9 0
10 40
11 110
12 47
13 29
14 92
15 9
16 9
17 1
18 2
19 56
20 1

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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