Junji Kawashima

2.7k citations
52 papers · 1.2k indexed · h-index 19
Topics
Pancreatic function and diabetes (15 papers)Adipose Tissue and Metabolism (11 papers)Metabolism, Diabetes, and Cancer (10 papers)
Partner nations
JapanUnited States

In The Last Decade

Junji Kawashima

52 papers receiving 1.1k citations

Peers

Junji Kawashima
Comparison fields: 5 of 97
  • Surgery 422
  • Endocrinology, Diabetes and Metabolism 413
  • Molecular Biology 396
  • Physiology 355
  • Epidemiology 199
Replace M. J. A. Saad with:
M. J. A. Saad Brazil
Freyja D. James United States
Grégory Aubert United States
Viviane Delghingaro‐Augusto Australia
Caroline Fernandes‐Santos Brazil
Yuji Tajiri Japan
Rocío Guzmán‐Ruiz Spain
Alexandra Chadt Germany
Grace M. Meers United States
Mihoko Yoshino United States
Junji Kawashima relative to M. J. A. Saad Brazil M. J. A. Saad's profile →
Citations per field
00.5×4.4×
M. J. A. Saad · 1×
Citations per year

Countries citing papers authored by Junji Kawashima

Since Specialization
Citations

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

Fields of papers citing papers by Junji Kawashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Kawashima

This figure shows the co-authorship network connecting the top 25 collaborators of Junji Kawashima. A scholar is included among the top collaborators of Junji Kawashima 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 Junji Kawashima. Junji Kawashima 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 2
2 1
3 2
4 4
5 2
6 9
7 27
8 10
9 62
10 20
11 4
12 37
13 8
14 13
15 40
16 8
17 29
18 44
19 44
20 15

About Junji Kawashima

Junji Kawashima is a scholar working on Endocrinology, Diabetes and Metabolism, Aging and Endocrine and Autonomic Systems, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Adipose Tissue and Metabolism (11 papers) and Metabolism, Diabetes, and Cancer (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (413 citations), Endocrine and Autonomic Systems (96 citations) and Physiology (355 citations). Junji Kawashima has collaborated with scholars based in Japan and United States. Frequent co-authors include Eiichi Araki, Tatsuya Kondo, Hiroyuki Motoshima, Takeshi Nishikawa, Yoshiaki Hirashima, Kunio Matsumoto, Kazuhiko Nakamaru, Mihoshi Suefuji, Motoyuki Igata and Kaku Tsuruzoe. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

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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