Eri Kikkawa
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
Papers in
-
- Genomics and Phylogenetic Studies 3
- Immunology 10
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Co-authors
- Hidetoshi Inoko (11 shared papers)Jerzy K. Kulski (4 shared papers)Nobuhisa Mizuki (2 shared papers)Koichi Kashiwase (1 shared paper)Mitsuo Itakura (1 shared paper)Fumihiro Azuma (1 shared paper)Masahiro Satake (1 shared paper)Yoshiki Itoh (1 shared paper)
- Journals
- Immunogenetics (5 papers)International Journal of Hematology (4 papers)Obesity Surgery (4 papers)Blood (2 papers)Surgery for Obesity and Related Diseases (2 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Eri Kikkawa
32 papers receiving 626 citations
Peers
Comparison fields: 5 of 86
- Immunology 230
- Virology 20
- Hematology 44
- Genetics 84
- Surgery 115
Countries citing papers authored by Eri Kikkawa
This map shows the geographic impact of Eri Kikkawa'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 Eri Kikkawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eri Kikkawa more than expected).
Fields of papers citing papers by Eri Kikkawa
This network shows the impact of papers produced by Eri Kikkawa. 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 Eri Kikkawa. The network helps show where Eri Kikkawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Eri Kikkawa, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 240 | |
| 2 | 1998 | 67 | |
| 3 | 2008 | 34 | |
| 4 | 2009 | 31 | |
| 5 | 2005 | 25 | |
| 6 | 2003 | 24 | |
| 7 | 2017 | 21 | |
| 8 | 2024 | 17 | |
| 9 | 2018 | 15 | |
| 10 | 2007 | 15 | |
| 11 | 2017 | 15 | |
| 12 | 2019 | 15 | |
| 13 | 2020 | 14 | |
| 14 | HLA alleles are associated with postherpetic neuralgia but not with herpes zoster. | 2008 | 14 |
| 15 | 2005 | 13 | |
| 16 | 2022 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2000 | 6 |
About Eri Kikkawa
Eri Kikkawa is a scholar working on Molecular Biology, Immunology, Hematology, Surgery and Genetics, having authored 35 papers that have together received 639 indexed citations. Recurring topics across this work include Bariatric Surgery and Outcomes (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Chronic Myeloid Leukemia Treatments (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Acute Myeloid Leukemia Research (3 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic diversity and population structure (3 papers). The work is most often cited by research in Immunology (230 citations), Virology (20 citations), Hematology (44 citations), Genetics (84 citations) and Surgery (115 citations). Eri Kikkawa has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Hidetoshi Inoko, Jerzy K. Kulski, Nobuhisa Mizuki, Koichi Kashiwase, Mitsuo Itakura, Fumihiro Azuma, Masahiro Satake, Yoshiki Itoh, Kazunori Kasama and Yosuke Seki. Their work appears in journals such as Immunogenetics, International Journal of Hematology, Obesity Surgery, Blood and Surgery for Obesity and Related 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.