Keigo Kawashima

1.8k citations
46 papers · 726 indexed · h-index 16

Keigo Kawashima

46 papers receiving 699 citations

Peers

Keigo Kawashima
Comparison fields: 5 of 98
  • Hepatology 131
  • Epidemiology 242
  • Endocrinology, Diabetes and Metabolism 102
  • Immunology 106
  • Cancer Research 62
Replace Samuel Martín‐Vílchez with:
Samuel Martín‐Vílchez Spain
Taeko Yamauchi Japan
Toshifumi Ito Japan
Satoshi Tanaka Japan
Yuki Makino Japan
Alfred Boettcher Germany
Keane K. Y. Lai United States
David Fernández‐Ramos Spain
Akira Kamei Japan
Debra L. Williams United States
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Citations per field
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Citations per year

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

The 25 scholars most cited alongside Keigo Kawashima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keigo Kawashima Line = papers co-authored together Keigo Kawashima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202115
2 202149
3 20219
4 20217
5 201922
6 201820
7 201542
8 201576
9 20142
10 201112
11 201118
12 200235
13 200222
14 200011
15 19942
16 19944
17 198912
18
Magnetic resonance imaging of pituitary microadenomas
19871
19
Inhibition by 2-bromo-alpha-ergocriptine and tamoxifen of the growth of an estrogen-dependent transplantable pituitary tumor (MtT/F84) in F344 rats.
198524
20
Induction of tumor resistance by hybrid cell lines between human acute lymphocytic leukemia cells and mouse myeloma cells.
19812

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), Immunotherapy and Immune Responses (6 papers), Helicobacter pylori-related gastroenterology studies (5 papers), Hepatitis C virus research (5 papers), RNA Interference and Gene Delivery (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Liver Diseases and Immunity (3 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 Tetrahedron, Biological and Pharmaceutical Bulletin, Journal of Virology, JNCI Journal of the National Cancer Institute and Scientific Reports.

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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