Munechika Enjoji

5.7k citations
156 papers · 4.5k indexed · h-index 33

Munechika Enjoji

153 papers receiving 4.4k citations

Peers

Munechika Enjoji
Comparison fields: 5 of 131
  • Hepatology 1.1k
  • Epidemiology 2.0k
  • Endocrinology, Diabetes and Metabolism 749
  • Biochemistry 275
  • Oncology 569
Replace Motoyuki Kohjima with:
Motoyuki Kohjima Japan
Chengfu Xu China
Philippe Gual France
Ronit Shiri‐Sverdlov Netherlands
Svetlana Radaeva United States
Ariane Mallat France
Toshiji Saibara Japan
Dechun Feng United States
Hisahiko Sekihara Japan
Davide D’Amico Italy
Munechika Enjoji relative to Motoyuki Kohjima Japan Motoyuki Kohjima's profile →
Citations per field
00.5×1.5×2.1×
Motoyuki Kohjima · 1×
Citations per year

Countries citing papers authored by Munechika Enjoji

Since Specialization
Citations

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

Fields of papers citing papers by Munechika Enjoji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 20232
3 202215
4 20213
5
Assessment of Dietary Salt and Sodium Intake:From Device to Questionnaire
20172
6 201628
7 201523
8 201410
9 201211
10 201114
11
Clinical effectiveness of ezetimibe for a non-obese patient with nonalcoholic fatty liver disease
20091
12 2008173
13 200720
14 200712
15 200616
16 2005100
17 200550
18 20048
19 200089
20 19968

About Munechika Enjoji

Munechika Enjoji is a scholar working on Hepatology, Behavioral Neuroscience and Developmental Neuroscience, having authored 156 papers that have together received 4.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (47 papers), Hepatitis C virus research (19 papers), Liver physiology and pathology (16 papers), Liver Disease and Transplantation (15 papers), Hepatitis B Virus Studies (11 papers), Sodium Intake and Health (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers) and Nutritional Studies and Diet (8 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (2.0k citations) and Endocrinology, Diabetes and Metabolism (749 citations). Munechika Enjoji has collaborated with scholars based in Japan, United States and Mexico. Frequent co-authors include Makoto Nakamuta, Kazuhiro Kotoh, Motoyuki Kohjima, Masaki Kato, Ryoichi Takayanagi, Hajime Nawata, Nobito Higuchi, Rie Sugimoto, Tsuyoshi Yoshimoto and Tatsuya Fujino. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

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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