Tomoe Kawamura

688 total citations
20 papers, 404 citations indexed

About

Tomoe Kawamura is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Tomoe Kawamura has authored 20 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Hepatology and 5 papers in Surgery. Recurrent topics in Tomoe Kawamura's work include Liver Disease Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Inflammatory Bowel Disease (3 papers). Tomoe Kawamura is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Inflammatory Bowel Disease (3 papers). Tomoe Kawamura collaborates with scholars based in Japan. Tomoe Kawamura's co-authors include Nobuaki Azemoto, Hideki Miyata, Tomoyuki Ninomiya, Tomonari Okudaira, Atsushi Hiraoka, Toshihiko Aibiki, Kojiro Michitaka, Yoshifumi Suga, Yoichi Hiasa and Bunzo Matsuura and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Tomoe Kawamura

17 papers receiving 399 citations

Peers

Tomoe Kawamura
Comparison fields: 5 of 56
  • Hepatology 244
  • Epidemiology 234
  • Surgery 102
  • Oncology 93
  • Physiology 84
Replace Hidetaro Ueki with:
Hidetaro Ueki Japan
Yoshifumi Suga Japan
Toshihiko Aibiki Japan
Tomonari Okudaira Japan
Hideomi Tomida Japan
Shirin Feshtali Netherlands
Teruo Komokata Japan
Akiko Toshimori Japan
Eiji Tsubouchi Japan
J. Springer Canada
Hidetaro Ueki Japan View profile →
Citations per field, relative to Tomoe Kawamura
Tomoe Kawamura · 1×
Citations per year, relative to Tomoe Kawamura
Tomoe Kawamura · 1×

Countries citing papers authored by Tomoe Kawamura

Since Specialization
Citations

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

Fields of papers citing papers by Tomoe Kawamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoe Kawamura

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoe Kawamura. A scholar is included among the top collaborators of Tomoe Kawamura 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 Tomoe Kawamura. Tomoe Kawamura 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 0
2 0
3 4
4 10
5 3
6 21
7 5
8 11
9
High fat diet affects differently on stress responses according to sex in rat
1
10 33
11 81
12 33
13 14
14 158
15 1
16 26
17 1
18 0
19 1
20
[Case of renal hypouricemia causing exercise-induced acute renal failure].
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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