Daiki Habu

3.3k citations
130 papers · 2.1k indexed · h-index 27
  • Hepatology top 0.5%
    • Hepatitis C virus research 29
    • Liver Disease and Transplantation 20
    • Hepatocellular Carcinoma Treatment and Prognosis 14
    • Liver Diseases and Immunity 8
    • Liver Disease Diagnosis and Treatment 47
    • Hepatitis B Virus Studies 22
    • Clinical Nutrition and Gastroenterology 13
  • Physiology top 5%
    • Nutrition and Health in Aging 34

Daiki Habu

116 papers receiving 2.1k citations

Peers

Daiki Habu
Comparison fields: 5 of 102
  • Hepatology 1.1k
  • Epidemiology 1.1k
  • Nutrition and Dietetics 370
  • Geriatrics and Gerontology 74
  • Physiology 475
Replace Nobuhiro Aizawa with:
Nobuhiro Aizawa Japan
Tomoyuki Takashima Japan
Federico Ravaioli Italy
Kazumichi Abe Japan
Gaetano Bertino Italy
Mário Reis Álvares‐da‐Silva Brazil
Koichiro Hata Japan
Amanda Nicoll Australia
Wei Cai China
Matilde Marcellini Italy
Daiki Habu relative to Nobuhiro Aizawa Japan Nobuhiro Aizawa's profile →
Citations per field
00.5×1.5×2.1×
Nobuhiro Aizawa · 1×
Citations per year

Countries citing papers authored by Daiki Habu

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Habu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daiki Habu, 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 Daiki Habu Line = papers co-authored together Daiki Habu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 20238
5 20171
6 201232
7 20101
8 20091
9
Clinical role of FDG-PET for HCC: relationship of glucose metabolic indicator to Japan Integrated Staging (JIS) score.
20086
10 20077
11 200777
12
20062
13 200645
14 20031
15 20035
16 20021
17 20017
18 20001
19 19992
20 199935

About Daiki Habu

Daiki Habu is a scholar working on Hepatology, Nutrition and Dietetics and Epidemiology, having authored 130 papers that have together received 2.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (47 papers), Nutrition and Health in Aging (34 papers), Hepatitis C virus research (29 papers), Hepatitis B Virus Studies (22 papers), Liver Disease and Transplantation (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Clinical Nutrition and Gastroenterology (13 papers) and Liver Diseases and Immunity (8 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (1.1k citations) and Nutrition and Dietetics (370 citations). Daiki Habu has collaborated with scholars based in Japan and United States. Frequent co-authors include Akihiro Tamori, Susumu Shiomi, Shuhei Nishiguchi, Tadashi Takeda, Norifumi Kawada, Masaru Enomoto, Hiroki Sakaguchi, Shoji Kubo, Yoshinari Matsumoto and Hiroyasu Morikawa. Their work appears in journals such as JAMA, PLoS ONE and Hepatology.

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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