Makoto Kako

2.4k total citations · 1 hit paper
88 papers, 1.4k citations indexed

About

Makoto Kako is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Makoto Kako has authored 88 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Hepatology, 38 papers in Epidemiology and 26 papers in Surgery. Recurrent topics in Makoto Kako's work include Liver Disease Diagnosis and Treatment (30 papers), Hepatitis C virus research (19 papers) and Liver Disease and Transplantation (18 papers). Makoto Kako is often cited by papers focused on Liver Disease Diagnosis and Treatment (30 papers), Hepatitis C virus research (19 papers) and Liver Disease and Transplantation (18 papers). Makoto Kako collaborates with scholars based in Japan, United States and China. Makoto Kako's co-authors include Shunji Mishiro, Hiroaki Okamoto, Kunihiko Hino, Hitoshi Ohto, Chieko Ishiwata, Sousuke Terazawa, Akira Matsui, Chikara Endo, Nobuhiko Sasaki and Niro Ujiie and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Brain.

In The Last Decade

Makoto Kako

81 papers receiving 1.3k citations

Hit Papers

Transmission of Hepatitis C Virus from Mothers to Infants 1994 2026 2004 2015 1994 100 200 300 400

Peers

Makoto Kako
Comparison fields: 5 of 90
  • Hepatology 831
  • Epidemiology 814
  • Surgery 178
  • Physiology 146
  • Infectious Diseases 128
Replace Michel Doffoël with:
Michel Doffoël France
Veena Malhotra India
Naohide Tanaka Japan
Ching‐Sheng Hsu Taiwan
Thomas Lang Germany
Ziv Ben‐Ari Israel
Filiz Akyüz Türkiye
Naota Taura Japan
Nir Hilzenrat Canada
Nobuyuki Toshikuni Japan
Michel Doffoël France View profile →
Citations per field, relative to Makoto Kako
Makoto Kako · 1×
Citations per year, relative to Makoto Kako
Makoto Kako · 1×

Countries citing papers authored by Makoto Kako

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Kako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Kako

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Kako. A scholar is included among the top collaborators of Makoto Kako 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 Makoto Kako. Makoto Kako 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
# Work Indexed citations
1 3
2 3
3 0
4 1
5 1
6 2
7 8
8 2
9 5
10 7
11 2
12 10
13 18
14 1
15 11
16 2
17 9
18 12
19 54
20 1

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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