Eri Adachi

588 citations
41 papers · 464 · h-index 12

Impact in

Papers in

Eri Adachi

38 papers receiving 455 citations

Peers

Eri Adachi
Comparison fields: 5 of 83
  • Nephrology 48
  • Developmental Neuroscience 21
  • Biochemistry 34
  • Hepatology 34
  • Molecular Biology 246
Replace Ivana Cvetković with:
Ivana Cvetković Serbia
Carla Aguiar Brazil
Takeshi Arima Japan
Dandan Lv China
Joshua Cutts United States
Shigeki Hata Japan
Marianne Petro United States
Hiroshi Miyanaka Japan
Yumi Ishikawa Japan
Peter J. Belmont United States
Eri Adachi relative to Ivana Cvetković Serbia Ivana Cvetković's profile →
Citations per field
00.5×6.5×
Ivana Cvetković · 1×
Citations per year

Countries citing papers authored by Eri Adachi

Since Specialization
Citations

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

Fields of papers citing papers by Eri Adachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eri Adachi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eri Adachi Line = papers co-authored together Eri Adachi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199892
2 199466
3 201935
4 200732
5 201330
6 201620
7 202017
8 202015
9 201114
10 202013
11 201913
12
Significance of intraoperative measurement of liver consistency prior to hepatic resection.
199512
13 202111
14 198611
15 202210
16 20129
17
Indications for major hepatectomy in cirrhotic liver.
19948
18
[The clinical ERG detected with skin electrodes].
19717
19 20146
20 20145

About Eri Adachi

Eri Adachi is a scholar working on Molecular Biology, Epidemiology, Hepatology, Surgery and Physiology, having authored 41 papers that have together received 464 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Liver physiology and pathology (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Diabetes Treatment and Management (3 papers), Retinal Development and Disorders (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Nephrology (48 citations), Developmental Neuroscience (21 citations), Biochemistry (34 citations), Hepatology (34 citations) and Molecular Biology (246 citations). Eri Adachi has collaborated with scholars based in Japan. Frequent co-authors include Kazuyuki Shimizu, Jun‐ichi Nikawa, Minetaka Sugiyama, Tomohito Gohda, Maki Murakoshi, Yusuke Suzuki, Hiroaki Kodama, Kunio Matsumoto, Shin‐ichiro Oka and Katsuya Sakai. Their work appears in journals such as Plant Cell Reports, Journal of Diabetes Investigation, Documenta Ophthalmologica, FEBS Open Bio and Pharmacology.

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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