Hitomi Imachi

2.5k citations
112 papers · 2.0k indexed · h-index 25
Topics
Cholesterol and Lipid Metabolism (18 papers)Pancreatic function and diabetes (16 papers)Metabolism, Diabetes, and Cancer (15 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
Partner nations
JapanCanadaChina

In The Last Decade

Hitomi Imachi

108 papers receiving 1.9k citations

Peers

Hitomi Imachi
Comparison fields: 5 of 99
  • Molecular Biology 736
  • Surgery 691
  • Endocrinology, Diabetes and Metabolism 482
  • Epidemiology 460
  • Oncology 407
Replace Maria C. de Beer with:
Maria C. de Beer United States
William R. Gower United States
Long‐Jun Dai Canada
Ramendra K. Kundu United States
Shinya Sato Japan
Péter Igaz Hungary
Elizabeth P. Newberry United States
Chenghui Yan China
Hyo Kyun Chung South Korea
Hiroko Morisaki Japan
Hitomi Imachi relative to Maria C. de Beer United States Maria C. de Beer's profile →
Citations per field
00.5×1.6×
Maria C. de Beer · 1×
Citations per year

Countries citing papers authored by Hitomi Imachi

Since Specialization
Citations

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

Fields of papers citing papers by Hitomi Imachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitomi Imachi

This figure shows the co-authorship network connecting the top 25 collaborators of Hitomi Imachi. A scholar is included among the top collaborators of Hitomi Imachi 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 Hitomi Imachi. Hitomi Imachi 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 10
2 3
3 27
4 2
5 22
6 15
7 2
8 0
9 5
10 5
11 32
12 45
13 14
14 8
15 8
16 42
17 20
18 7
19 13
20 52

About Hitomi Imachi

Hitomi Imachi is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 112 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (18 papers), Pancreatic function and diabetes (16 papers) and Metabolism, Diabetes, and Cancer (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (482 citations), Cancer Research (319 citations) and Surgery (691 citations). Hitomi Imachi has collaborated with scholars based in Japan, Canada and China. Frequent co-authors include Koji Murao, Toshihiko Ishida, Makoto Sato, Norman C.W. Wong, Jiro Takahara, Wen Cao, Hisakazu Iwama, Xiao Yu, Hitoshi Hosokawa and Takamasa Nishiuchi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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