Hitomi Awaya

1.1k total citations
25 papers, 809 citations indexed

About

Hitomi Awaya is a scholar working on Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hitomi Awaya has authored 25 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hepatology, 10 papers in Epidemiology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hitomi Awaya's work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease Diagnosis and Treatment (10 papers) and Liver Disease and Transplantation (6 papers). Hitomi Awaya is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease Diagnosis and Treatment (10 papers) and Liver Disease and Transplantation (6 papers). Hitomi Awaya collaborates with scholars based in Japan and United States. Hitomi Awaya's co-authors include Katsuyoshi Ito, Naofumi Matsunaga, Donald G. Mitchell, Tsuneo Matsumoto, Kazumitsu Honjo, Tamotsu Kamishima, George Holland, Shinji Koike, Kazuyoshi Suga and Kazuro Sugi and has published in prestigious journals such as Radiology, CHEST Journal and American Journal of Roentgenology.

In The Last Decade

Hitomi Awaya

24 papers receiving 792 citations

Peers

Hitomi Awaya
Comparison fields: 5 of 68
  • Hepatology 379
  • Epidemiology 317
  • Surgery 231
  • Radiology, Nuclear Medicine and Imaging 203
  • Pulmonary and Respiratory Medicine 180
Replace Jan Skrok with:
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Nora Frulio France
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Jan Skrok Germany View profile →
Citations per field, relative to Hitomi Awaya
Hitomi Awaya · 1×
Citations per year, relative to Hitomi Awaya
Hitomi Awaya · 1×

Countries citing papers authored by Hitomi Awaya

Since Specialization
Citations

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

Fields of papers citing papers by Hitomi Awaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitomi Awaya

This figure shows the co-authorship network connecting the top 25 collaborators of Hitomi Awaya. A scholar is included among the top collaborators of Hitomi Awaya 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 Hitomi Awaya. Hitomi Awaya 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 2
2 46
3 42
4 147
5 45
6
A preliminary study of discrimination among the components of small pulmonary nodules by MR imaging: correlation between MR images and histologic appearance.
9
7 36
8 6
9 6
10 57
11 13
12 12
13 1
14 10
15 24
16 34
17 52
18 33
19 45
20 24

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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