Song‐iee Han

1.8k citations
29 papers · 1.2k indexed · h-index 19
Topics
Metabolism, Diabetes, and Cancer (10 papers)Pancreatic function and diabetes (9 papers)Peroxisome Proliferator-Activated Receptors (7 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Song‐iee Han

28 papers receiving 1.2k citations

Peers

Song‐iee Han
Comparison fields: 5 of 91
  • Molecular Biology 676
  • Surgery 496
  • Genetics 375
  • Endocrinology, Diabetes and Metabolism 246
  • Epidemiology 189
Replace Clare L. Kirkpatrick with:
Clare L. Kirkpatrick Switzerland
Noaman Hasan United States
Ghislaine Fontès Canada
M. Smit Netherlands
Detlev Ameis Germany
Haynes Heaton United States
Nadine Gautier France
Wendy Shillinglaw United States
Teresa Brandt United States
Kenneth Mohn United States
Song‐iee Han relative to Clare L. Kirkpatrick Switzerland Clare L. Kirkpatrick's profile →
Citations per field
00.5×1.5×1.8×
Clare L. Kirkpatrick · 1×
Citations per year

Countries citing papers authored by Song‐iee Han

Since Specialization
Citations

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

Fields of papers citing papers by Song‐iee Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song‐iee Han. 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 Song‐iee Han. The network helps show where Song‐iee Han may publish in the future.

Co-authorship network of co-authors of Song‐iee Han

This figure shows the co-authorship network connecting the top 25 collaborators of Song‐iee Han. A scholar is included among the top collaborators of Song‐iee Han 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 Song‐iee Han. Song‐iee Han 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 6
2 9
3 0
4 10
5 17
6 42
7 38
8 34
9 30
10 10
11 33
12 54
13 44
14 34
15 28
16 31
17 15
18 81
19 21
20 245

About Song‐iee Han

Song‐iee Han is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Pancreatic function and diabetes (9 papers) and Peroxisome Proliferator-Activated Receptors (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (246 citations), Genetics (375 citations) and Surgery (496 citations). Song‐iee Han has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Kohsuke Kataoka, Kunio Yasuda, Momoki Hirai, Makoto Nishizawa, Setsuko Shioda, Hiroshi Handa, Yoshimi Nakagawa, Hitoshi Shimano, Takashi Matsuzaka and Kenichiro Ishizu. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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