Hiroshi Kawada

5.3k total citations
225 papers, 4.1k citations indexed

About

Hiroshi Kawada is a scholar working on Surgery, Oncology and Hematology. According to data from OpenAlex, Hiroshi Kawada has authored 225 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Surgery, 45 papers in Oncology and 45 papers in Hematology. Recurrent topics in Hiroshi Kawada's work include MRI in cancer diagnosis (22 papers), Lymphoma Diagnosis and Treatment (19 papers) and Mesenchymal stem cell research (18 papers). Hiroshi Kawada is often cited by papers focused on MRI in cancer diagnosis (22 papers), Lymphoma Diagnosis and Treatment (19 papers) and Mesenchymal stem cell research (18 papers). Hiroshi Kawada collaborates with scholars based in Japan, United States and Spain. Hiroshi Kawada's co-authors include Kiyoshi Ando, Tomomitsu Hotta, Satoshi Goshima, Makio Ogawa, Yoshifumi Noda, Masayuki Kanematsu, Nobuyuki Kawai, Keiichi Fukuda, Jun Fujita and Haruo Watanabe and has published in prestigious journals such as Circulation, Blood and The Journal of Immunology.

In The Last Decade

Hiroshi Kawada

209 papers receiving 4.0k citations

Peers

Hiroshi Kawada
Comparison fields: 5 of 160
  • Genetics 889
  • Molecular Biology 888
  • Surgery 887
  • Radiology, Nuclear Medicine and Imaging 630
  • Oncology 610
Replace Kathryn E. Dusenbery with:
Kathryn E. Dusenbery United States
Jean‐Jacques Lataillade France
Ralf Huss Germany
Mohamed E. Salama United States
Wojciech Wojakowski Poland
Aarif Y. Khakoo United States
Arupa Ganguly United States
Gero Brockhoff Germany
Nathalie Meuleman Belgium
G.-R. Burmester Germany
Kathryn E. Dusenbery United States View profile →
Citations per field, relative to Hiroshi Kawada
Hiroshi Kawada · 1×
Citations per year, relative to Hiroshi Kawada
Hiroshi Kawada · 1×

Countries citing papers authored by Hiroshi Kawada

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Kawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Kawada

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kawada. A scholar is included among the top collaborators of Hiroshi Kawada 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 Hiroshi Kawada. Hiroshi Kawada 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 2
3 1
4 2
5 0
6 3
7 3
8 6
9 6
10 3
11 5
12 2
13 1
14 22
15 17
16 2
17 34
18 8
19 66
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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