K Kawakami
- Epidemiology
- Immunology
- Molecular Biology
- Infectious Diseases top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Atsushi SaitôMahboob QureshiHaruki OkamuraM KurimotoMasaki TohyamaQifeng XieYoshinobu KoguchiNorifumi Kudeken
- Topics
- Fungal Infections and Studies (5 papers)Immune Response and Inflammation (3 papers)Antifungal resistance and susceptibility (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
K Kawakami
21 papers receiving 575 citations
Peers
Comparison fields: 5 of 92
- Epidemiology 227
- Immunology 169
- Molecular Biology 165
- Infectious Diseases 164
- Public Health, Environmental and Occupational Health 62
Countries citing papers authored by K Kawakami
This map shows the geographic impact of K 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 K Kawakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Kawakami more than expected).
Fields of papers citing papers by K Kawakami
This network shows the impact of papers produced by K 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 K Kawakami. The network helps show where K Kawakami may publish in the future.
Co-authorship network of co-authors of K Kawakami
This figure shows the co-authorship network connecting the top 25 collaborators of K Kawakami. A scholar is included among the top collaborators of K 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 K Kawakami. K Kawakami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 50 | |
| 5 | 13 | |
| 6 | 52 | |
| 7 | The inv(11)(p15q22) chromosome translocation of therapy-related myelodysplasia with NUP98-DDX10 and DDX10-NUP98 fusion transcripts. | 26 |
| 8 | 55 | |
| 9 | 12 | |
| 10 | 41 | |
| 11 | 5 | |
| 12 | 163 | |
| 13 | 98 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | Severity and Spatial Distribution of Boron Toxicity in Barley Cultivated Areas of Central Anatolia and Transitional Zones | 3 |
| 17 | [Treatment of advanced cancer of the alimentary tract with cisplatin and 5-fluorouracil (UFT)]. | 1 |
| 18 | [CT-guided biopsy of thoracic mass lesions followed by fast stain technique]. | 0 |
| 19 | The third type of alpha-subunit of Na,K-ATPase. | 3 |
| 20 | [Tumors of the pineal region with special reference to their treatment, endocrine manifestations and water-electrolyte imbalance]. | 1 |
About K Kawakami
K Kawakami is a scholar working on Toxicology, Immunology and Pharmacy, having authored 22 papers that have together received 582 indexed citations. Recurring topics across this work include Fungal Infections and Studies (5 papers), Immune Response and Inflammation (3 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Infectious Diseases (164 citations), Immunology (169 citations) and Epidemiology (227 citations). K Kawakami has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Atsushi Saitô, Mahboob Qureshi, Haruki Okamura, M Kurimoto, Masaki Tohyama, Qifeng Xie, Yoshinobu Koguchi, Norifumi Kudeken, J Takahara and Kazunori Sasaki. Their work appears in journals such as Blood, The Journal of Immunology and Oncogene.
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.