Keigo Kawashima

1.8k total citations
46 papers, 726 citations indexed

About

Keigo Kawashima is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Keigo Kawashima has authored 46 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 9 papers in Hepatology and 8 papers in Molecular Biology. Recurrent topics in Keigo Kawashima's work include Hepatitis B Virus Studies (11 papers), Liver Disease Diagnosis and Treatment (9 papers) and Immunotherapy and Immune Responses (6 papers). Keigo Kawashima is often cited by papers focused on Hepatitis B Virus Studies (11 papers), Liver Disease Diagnosis and Treatment (9 papers) and Immunotherapy and Immune Responses (6 papers). Keigo Kawashima collaborates with scholars based in Japan, United States and Italy. Keigo Kawashima's co-authors include Masanori Isogawa, Masashi Naito, Akihiro Ito, Yasuhito Tanaka, Y. Kawamatsu, Kazuki Nakanishi, Masaomi Miyamoto, Ping Yin, Jun Arita and Atsushi Nakajima and has published in prestigious journals such as The Journal of Immunology, The Astrophysical Journal and Annual Review of Immunology.

In The Last Decade

Keigo Kawashima

46 papers receiving 699 citations

Peers

Keigo Kawashima
Comparison fields: 5 of 98
  • Epidemiology 242
  • Molecular Biology 194
  • Hepatology 131
  • Immunology 106
  • Endocrinology, Diabetes and Metabolism 102
Replace Keane K. Y. Lai with:
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Yuki Makino Japan
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Keane K. Y. Lai United States View profile →
Citations per field, relative to Keigo Kawashima
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Citations per year, relative to Keigo Kawashima
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Countries citing papers authored by Keigo Kawashima

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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