Takao Kojima

4.2k citations
64 papers · 3.1k indexed · 2 hit papers · h-index 22
Topics
Liver Disease Diagnosis and Treatment (43 papers)Diet, Metabolism, and Disease (18 papers)Alcohol Consumption and Health Effects (17 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Takao Kojima

62 papers receiving 3.1k citations

Hit Papers

The Metabolic Syndrome as a Predictor of Nonalcoholic Fat...200520262012201920052007250500750

Peers

Takao Kojima
Comparison fields: 5 of 107
  • Epidemiology 2.4k
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Hepatology 710
  • Pathology and Forensic Medicine 646
  • Physiology 491
Replace Ji Cheol Bae with:
Ji Cheol Bae South Korea
L. Miglioli Italy
Ivana Mikolašević Croatia
Rita Manini Italy
Jiin Ahn South Korea
Eduardo Vilar‐Gómez United States
Nathalie C. Leite Brazil
Sanjaya K. Satapathy United States
Sophie Jacqueminet France
Ki‐Chul Sung South Korea
Takao Kojima relative to Ji Cheol Bae South Korea Ji Cheol Bae's profile →
Citations per field
00.5×2.6×
Ji Cheol Bae · 1×
Citations per year

Countries citing papers authored by Takao Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Takao Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Kojima

This figure shows the co-authorship network connecting the top 25 collaborators of Takao Kojima. A scholar is included among the top collaborators of Takao Kojima 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 Takao Kojima. Takao Kojima 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 1
2 0
3 2
4 3
5 35
6 20
7 7
8 20
9 41
10 78
11 10
12 15
13 15
14 213
15 17
16 9
17 21
18 2
19 27
20 4

About Takao Kojima

Takao Kojima is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Hepatology, having authored 64 papers that have together received 3.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (43 papers), Diet, Metabolism, and Disease (18 papers) and Alcohol Consumption and Health Effects (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Hepatology (710 citations) and Epidemiology (2.4k citations). Takao Kojima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masahide Hamaguchi, Michiaki Fukui, Yoshitaka Hashimoto, Takahiro Kato, Akihiro Obora, Noriyuki Takeda, Kazunori Ida, Junichi Okuda, Kota Fujii and Tomoaki Nakajima. Their work appears in journals such as Annals of Internal Medicine, PLoS ONE and Scientific Reports.

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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