Chisa Kobayashi

481 total citations
16 papers, 362 citations indexed

About

Chisa Kobayashi is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Chisa Kobayashi has authored 16 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Hepatology and 3 papers in Infectious Diseases. Recurrent topics in Chisa Kobayashi's work include Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (5 papers) and Drug Transport and Resistance Mechanisms (2 papers). Chisa Kobayashi is often cited by papers focused on Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (5 papers) and Drug Transport and Resistance Mechanisms (2 papers). Chisa Kobayashi collaborates with scholars based in Japan, France and United States. Chisa Kobayashi's co-authors include Mitsuko Takenaga, Tohru Mizushima, Tsutomu Ishihara, Naoki Yamakawa, Yutaka Mizushima, Yoshinari Okamoto, Taishi Maeda, Tatsuhiro Ishida, Rie Igarashi and Ken‐ichiro Tanaka and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Reviews Microbiology.

In The Last Decade

Chisa Kobayashi

13 papers receiving 356 citations

Peers

Chisa Kobayashi
Comparison fields: 5 of 71
  • Molecular Biology 146
  • Biomaterials 116
  • Biomedical Engineering 62
  • Epidemiology 56
  • Pulmonary and Respiratory Medicine 42
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Aritz Pérez Ruiz de Garibay Germany View profile →
Citations per field, relative to Chisa Kobayashi
Chisa Kobayashi · 1×
Citations per year, relative to Chisa Kobayashi
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Countries citing papers authored by Chisa Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Chisa Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chisa Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Chisa Kobayashi. A scholar is included among the top collaborators of Chisa Kobayashi 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 Chisa Kobayashi. Chisa Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 1
3 5
4 22
5 5
6 4
7 17
8 0
9 20
10 36
11
Kidney biopsy is mandatory in cases of 'silent' arterial hypertension in scleroderma renal crisis: a case report.
0
12 27
13
[Relationship between serum uric acid levels and muscle strength/volume: a new insight from a large-scale survey].
6
14 45
15 164
16 10

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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