Takuma Kondo

1.7k total citations
41 papers, 1.4k citations indexed

About

Takuma Kondo is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Takuma Kondo has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Takuma Kondo's work include Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Diabetes and associated disorders (5 papers). Takuma Kondo is often cited by papers focused on Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Diabetes and associated disorders (5 papers). Takuma Kondo collaborates with scholars based in Japan, United States and Australia. Takuma Kondo's co-authors include Janice G. Douglas, Kevin Catt, Arun Sharma, Wataru Nishimura, Susan Bonner‐Weir, Ilham El Khattabi, Therese S. Salameh, Rikke Dodge, Hideaki Miyoshi and Greti Aguilera and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and PLoS ONE.

In The Last Decade

Takuma Kondo

39 papers receiving 1.3k citations

Peers

Takuma Kondo
Comparison fields: 5 of 92
  • Molecular Biology 651
  • Endocrinology, Diabetes and Metabolism 556
  • Surgery 341
  • Genetics 320
  • Epidemiology 211
Replace Shoichiro Ikuyama with:
Shoichiro Ikuyama Japan
Minoru Iwata Japan
Tomomi Toyonaga Japan
Vivian E.H. Dahlmans Netherlands
Pili Zhang United States
Johanna K. Wolford United States
Jean‐François Decaux France
Vincenza Cifarelli United States
Luitgard Mosthaf Germany
Catherine McKeon United States
Shoichiro Ikuyama Japan View profile →
Citations per field, relative to Takuma Kondo
Takuma Kondo · 1×
Citations per year, relative to Takuma Kondo
Takuma Kondo · 1×

Countries citing papers authored by Takuma Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuma Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Kondo. A scholar is included among the top collaborators of Takuma Kondo 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 Takuma Kondo. Takuma Kondo 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 12
2 11
3 7
4 19
5 46
6 20
7 141
8 1
9 78
10 12
11 36
12 15
13 139
14 238
15 3
16 23
17 18
18 161
19 119
20 68

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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