Koshi Kawakami

428 total citations
28 papers, 329 citations indexed

About

Koshi Kawakami is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Koshi Kawakami has authored 28 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 6 papers in Oncology. Recurrent topics in Koshi Kawakami's work include Lymphoma Diagnosis and Treatment (4 papers), Nausea and vomiting management (3 papers) and Ubiquitin and proteasome pathways (3 papers). Koshi Kawakami is often cited by papers focused on Lymphoma Diagnosis and Treatment (4 papers), Nausea and vomiting management (3 papers) and Ubiquitin and proteasome pathways (3 papers). Koshi Kawakami collaborates with scholars based in Japan and United States. Koshi Kawakami's co-authors include T. Ito, Tomoko Kutsuzawa, Tomohisa Ishida, Mamoru Ito, K. Suzuki, Tetsuya Tsuda, Eiko Mochizuki, Susumu Kuwabata, Yoshio Honma and Noriko Nemoto and has published in prestigious journals such as Journal of Clinical Oncology, Stroke and Journal of Hypertension.

In The Last Decade

Koshi Kawakami

25 papers receiving 324 citations

Peers

Koshi Kawakami
Comparison fields: 5 of 93
  • Molecular Biology 89
  • Epidemiology 80
  • Neurology 67
  • Catalysis 43
  • Pulmonary and Respiratory Medicine 31
Replace Yiming Liu with:
Yiming Liu China
Aneta Konwerska Poland
Xiaoling Yang China
Shuoqi Zhang China
Mengyan Wang China
Xiaohe Zheng China
Sayuri Nakamura Japan
Fen Zhang China
Alexandra Robciuc Finland
Yiming Liu China View profile →
Citations per field, relative to Koshi Kawakami
Koshi Kawakami · 1×
Citations per year, relative to Koshi Kawakami
Koshi Kawakami · 1×

Countries citing papers authored by Koshi Kawakami

Since Specialization
Citations

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

Fields of papers citing papers by Koshi Kawakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koshi Kawakami

This figure shows the co-authorship network connecting the top 25 collaborators of Koshi Kawakami. A scholar is included among the top collaborators of Koshi Kawakami 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 Koshi Kawakami. Koshi Kawakami 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 5
3 5
4 13
5 2
6 11
7 32
8 6
9 63
10 15
11 16
12 5
13 1
14 6
15 2
16
[Angioimmunoblastic T-cell lymphoma with hyperplastic germinal centers].
1
17
[Nasal lymphoma of natural killer cell origin].
4
18
[Skin peripheral perfusion pressure (SPPP) in the leg using a technique of 133Xe clearance method].
1
19
[Mitral regurgitation due to anomalous attachment of chordae tendineae to the left atrial wall].
0
20
[Lung density in mitral valve disease (author's transl)].
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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