Keigo Kawashima
- Epidemiology
- Molecular Biology
- Hepatology top 5%
- Immunology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Masanori IsogawaMasashi NaitoAkihiro ItoYasuhito TanakaY. KawamatsuKazuki NakanishiMasaomi MiyamotoPing Yin
- Topics
- Hepatitis B Virus Studies (11 papers)Liver Disease Diagnosis and Treatment (9 papers)Immunotherapy and Immune Responses (6 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Keigo Kawashima
46 papers receiving 699 citations
Peers
Comparison fields: 5 of 98
- Epidemiology 242
- Molecular Biology 194
- Hepatology 131
- Immunology 106
- Endocrinology, Diabetes and Metabolism 102
Countries citing papers authored by Keigo Kawashima
This map shows the geographic impact of Keigo Kawashima'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 Keigo Kawashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keigo Kawashima more than expected).
Fields of papers citing papers by Keigo Kawashima
This network shows the impact of papers produced by Keigo Kawashima. 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 Keigo Kawashima. The network helps show where Keigo Kawashima may publish in the future.
Co-authorship network of co-authors of Keigo Kawashima
This figure shows the co-authorship network connecting the top 25 collaborators of Keigo Kawashima. A scholar is included among the top collaborators of Keigo Kawashima 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 Keigo Kawashima. Keigo Kawashima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 49 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 22 | |
| 6 | 20 | |
| 7 | 42 | |
| 8 | 76 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 18 | |
| 12 | 35 | |
| 13 | 22 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 12 | |
| 18 | Magnetic resonance imaging of pituitary microadenomas | 1 |
| 19 | Inhibition by 2-bromo-alpha-ergocriptine and tamoxifen of the growth of an estrogen-dependent transplantable pituitary tumor (MtT/F84) in F344 rats. | 24 |
| 20 | Induction of tumor resistance by hybrid cell lines between human acute lymphocytic leukemia cells and mouse myeloma cells. | 2 |
About Keigo Kawashima
Keigo Kawashima is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 726 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (11 papers), Liver Disease Diagnosis and Treatment (9 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Hepatology (131 citations), Epidemiology (242 citations) and Endocrinology, Diabetes and Metabolism (102 citations). Keigo Kawashima has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Masanori Isogawa, Masashi Naito, Akihiro Ito, Yasuhito Tanaka, Y. Kawamatsu, Kazuki Nakanishi, Masaomi Miyamoto, Ping Yin, Jun Arita and Atsushi Nakajima. Their work appears in journals such as The Journal of Immunology, The Astrophysical Journal and Annual Review of Immunology.
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.