Eiichi Soeda
Impact in
- Oncology top 5%
- Polyomavirus and related diseases
- Immunology top 10%
- T-cell and B-cell Immunology
Papers in
-
- Genomics and Phylogenetic Studies 4
- CRISPR and Genetic Engineering 4
- Genetics 11
- Genomic variations and chromosomal abnormalities 4
- Co-authors
- Beverly E. Griffin (4 shared papers)John R. Arrand (3 shared papers)Nina Smolar (1 shared paper)Takashi Imai (2 shared papers)Ryusuke Matsumura (2 shared papers)Makoto Haino (2 shared papers)Rakesh Anand (2 shared papers)Euy Kyun Shin (2 shared papers)
- Journals
- Genomics (10 papers)Nucleic Acids Research (4 papers)Nature (3 papers)The Journal of Biochemistry (2 papers)Genes Chromosomes and Cancer (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Eiichi Soeda
45 papers receiving 1.4k citations
Eiichi Soeda's Hit Papers
Peers
Comparison fields: 5 of 88
- Oncology 388
- Immunology 309
- Molecular Biology 798
- Genetics 308
- Genetics 108
Countries citing papers authored by Eiichi Soeda
This map shows the geographic impact of Eiichi Soeda'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 Eiichi Soeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichi Soeda more than expected).
Fields of papers citing papers by Eiichi Soeda
This network shows the impact of papers produced by Eiichi Soeda. 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 Eiichi Soeda. The network helps show where Eiichi Soeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiichi Soeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Coding potential and regulatory signals of the polyoma virus genome Hit paper breakdown → | 1980 | 339 |
| 2 | Structure and physical map of 64 variable segments in the 3′ 0.8–megabase region of the human immunoglobulin heavy–chain locus Hit paper breakdown → | 1993 | 276 |
| 3 | 2001 | 132 | |
| 4 | 1999 | 108 | |
| 5 | 1995 | 90 | |
| 6 | 1984 | 57 | |
| 7 | 1980 | 49 | |
| 8 | 1994 | 41 | |
| 9 | 1996 | 40 | |
| 10 | 1978 | 35 | |
| 11 | 2006 | 34 | |
| 12 | 1989 | 30 | |
| 13 | 1984 | 28 | |
| 14 | 2001 | 26 | |
| 15 | 2000 | 26 | |
| 16 | 1994 | 25 | |
| 17 | 1980 | 24 | |
| 18 | 1997 | 21 | |
| 19 | 2001 | 18 | |
| 20 | 1977 | 18 |
About Eiichi Soeda
Eiichi Soeda is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Oncology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (8 papers), Polyomavirus and related diseases (6 papers), Plant Virus Research Studies (5 papers), Neuroblastoma Research and Treatments (4 papers), T-cell and B-cell Immunology (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Phylogenetic Studies (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Oncology (388 citations), Immunology (309 citations), Molecular Biology (798 citations), Genetics (308 citations) and Genetics (108 citations). Eiichi Soeda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Beverly E. Griffin, John R. Arrand, Nina Smolar, Takashi Imai, Ryusuke Matsumura, Makoto Haino, Rakesh Anand, Euy Kyun Shin, Fumihiko Matsuda and Yosho Fukita. Their work appears in journals such as Genomics, Nucleic Acids Research, Nature, The Journal of Biochemistry and Genes Chromosomes and Cancer.
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.