Akihiko Goto

590 citations
85 papers · 283 indexed · h-index 9
Topics
Pneumonia and Respiratory Infections (13 papers)Tuberculosis Research and Epidemiology (8 papers)Nosocomial Infections in ICU (6 papers)
Partner nations
JapanUnited KingdomChina

In The Last Decade

Akihiko Goto

65 papers receiving 269 citations

Peers

Akihiko Goto
Comparison fields: 5 of 96
  • Epidemiology 87
  • Surgery 81
  • Pulmonary and Respiratory Medicine 72
  • Infectious Diseases 62
  • Physiology 42
Replace Radu Fleacă with:
Radu Fleacă Romania
Mario Schiavoni Italy
Gregory L. Burns United States
Nobuyuki Harunari Japan
Martin Silverborn Sweden
S. V. Zhuravel Russia
Athanasios Karageorgos Greece
Mahesh Sharma India
Evaristo Castedo Spain
Anne E. Missavage United States
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Citations per field
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Citations per year

Countries citing papers authored by Akihiko Goto

Since Specialization
Citations

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

Fields of papers citing papers by Akihiko Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiko Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Goto. A scholar is included among the top collaborators of Akihiko Goto 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 Akihiko Goto. Akihiko Goto 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 0
2 0
3 2
4 1
5 9
6 5
7 8
8 8
9 1
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11 1
12
Geochemical and lithological characteristics of Badou carbonatite pipe, Shandong China
1
13
[Clinical analysis of 130 cases of Siberian silicosis].
1
14
[Efficacy of combination therapy against MRSA in Ibaraki Prefecture].
4
15 1
16 9
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Endoscopic observations of gastric varices.
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20 3

About Akihiko Goto

Akihiko Goto is a scholar working on Critical Care and Intensive Care Medicine, Infectious Diseases and Polymers and Plastics, having authored 85 papers that have together received 283 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (13 papers), Tuberculosis Research and Epidemiology (8 papers) and Nosocomial Infections in ICU (6 papers). The work is most often cited by research in Infectious Diseases (62 citations), Critical Care and Intensive Care Medicine (15 citations) and Hepatology (20 citations). Akihiko Goto has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Jun‐ichi Kadota, Kosaku Komiya, Mari Yamasue, Kenji Umeki, Kazufumi Hiramatsu, Tetsuyuki Yoshimatsu, Hiroyuki Hamada, Shin‐ichi Nureki, Keiichiroh Okuda and Masaru Ando. Their work appears in journals such as PLoS ONE, Scientific Reports and Medicine.

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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