K Kobayashi
- Epidemiology top 10%
- Hepatology top 5%
- Infectious Diseases top 10%
- Animal Science and Zoology top 10%
- Surgery
- Co-authors
- Shuichi KanekoMasashi UnouraS M FeinstoneR.H. MillerRobert H. PurcellA. HasegawaMichinobu HatanoYuka Kimura
- Topics
- Liver Disease Diagnosis and Treatment (7 papers)Hepatitis C virus research (7 papers)Hepatitis B Virus Studies (6 papers)
- Journals
- Proceedings of the National Academy of SciencesHepatologyThe Journal of Infectious Diseases
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
K Kobayashi
14 papers receiving 430 citations
Peers
Comparison fields: 5 of 49
- Epidemiology 305
- Hepatology 250
- Infectious Diseases 154
- Animal Science and Zoology 51
- Surgery 41
Countries citing papers authored by K Kobayashi
This map shows the geographic impact of K 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 K Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Kobayashi more than expected).
Fields of papers citing papers by K Kobayashi
This network shows the impact of papers produced by K 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 K Kobayashi. The network helps show where K Kobayashi may publish in the future.
Co-authorship network of co-authors of K Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of K Kobayashi. A scholar is included among the top collaborators of K 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 K Kobayashi. K Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 31 | |
| 3 | [Comparison between HGV genome and HGBV-C genome]. | 1 |
| 4 | Case of small hepatocellular carcinoma in the caudate lobe detected after interferon caused disappearance of hepatitis C virus. | 17 |
| 5 | 25 | |
| 6 | 3 | |
| 7 | [Risk factors for development of hepatocellular carcinoma in patients with liver cirrhosis associated with hepatitis C virus]. | 1 |
| 8 | [Hepatitis viruses and hepatocarcinogenesis]. | 1 |
| 9 | [Detection of serum hepatitis B virus DNA using the polymerase chain reaction assay]. | 2 |
| 10 | 93 | |
| 11 | 266 | |
| 12 | [The source of gastrointestinal bleeding in autopsied cases with chronic hepatic disease (author's transl)]. | 1 |
| 13 | Hepatoma development during long term follow-up period of liver cirrhosis. | 2 |
| 14 | 9 |
About K Kobayashi
K Kobayashi is a scholar working on Hepatology, Epidemiology and Microbiology, having authored 14 papers that have together received 455 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Hepatitis C virus research (7 papers) and Hepatitis B Virus Studies (6 papers). The work is most often cited by research in Hepatology (250 citations), Epidemiology (305 citations) and Infectious Diseases (154 citations). K Kobayashi has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Shuichi Kaneko, Masashi Unoura, S M Feinstone, R.H. Miller, Robert H. Purcell, A. Hasegawa, Michinobu Hatano, Yuka Kimura, Shuji Nakata and Kazuo Matsumoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Hepatology and The Journal of Infectious Diseases.
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.