Jun Shirakawa

3.3k citations
94 papers · 2.2k indexed · h-index 26
Topics
Pancreatic function and diabetes (52 papers)Metabolism, Diabetes, and Cancer (38 papers)Diabetes and associated disorders (21 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Jun Shirakawa

89 papers receiving 2.2k citations

Peers

Jun Shirakawa
Comparison fields: 5 of 110
  • Surgery 842
  • Molecular Biology 778
  • Endocrinology, Diabetes and Metabolism 718
  • Genetics 413
  • Epidemiology 378
Replace Dale J. Hamilton with:
Dale J. Hamilton United States
Michael Hezel United States
Weibin Shi United States
Midori Fujishiro Japan
Jian‐Kang Chen United States
Suparna A. Sarkar United States
Yuan Qin China
Bettina G. Papouchado United States
Angela Raucci Italy
Patrick J. van Gorp Netherlands
Jun Shirakawa relative to Dale J. Hamilton United States Dale J. Hamilton's profile →
Citations per field
00.5×2.8×
Dale J. Hamilton · 1×
Citations per year

Countries citing papers authored by Jun Shirakawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shirakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shirakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shirakawa. A scholar is included among the top collaborators of Jun Shirakawa 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 Jun Shirakawa. Jun Shirakawa 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 0
2 0
3 2
4 0
5 3
6 2
7 14
8 18
9 18
10 5
11 1
12 13
13 10
14 11
15 82
16 8
17 54
18 6
19 99
20 25

About Jun Shirakawa

Jun Shirakawa is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics, having authored 94 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (52 papers), Metabolism, Diabetes, and Cancer (38 papers) and Diabetes and associated disorders (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (718 citations), Complementary and alternative medicine (158 citations) and Surgery (842 citations). Jun Shirakawa has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yasuo Terauchi, Rohit Kulkarni, Yu Togashi, Kazuki Tajima, Tomoko Okuyama, Mayu Kyohara, Kazuki Orime, Koichiro Sato, Yuzuru Ito and Yoshiaki Sato. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Nature Immunology.

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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