Ayumi Gomyo
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Platelet Disorders and Treatments
- Blood groups and transfusion
-
- Diphtheria, Corynebacterium, and Tetanus
Papers in
- Hematology 26
- Hematopoietic Stem Cell Transplantation 20
- Acute Myeloid Leukemia Research 4
- Epidemiology 14
- Cytomegalovirus and herpesvirus research 8
- Co-authors
- Yu Akahoshi (30 shared papers)Shun‐ichi Kimura (36 shared papers)Shinichi Kako (35 shared papers)Hideki Nakasone (36 shared papers)Yoshinobu Kanda (35 shared papers)Kazuaki Kameda (26 shared papers)Koji Kawamura (23 shared papers)Miki Sato (18 shared papers)
- Journals
- Biology of Blood and Marrow Transplantation (4 papers)International Journal of Hematology (4 papers)Transplantation and Cellular Therapy (4 papers)Infectious Diseases (2 papers)Annals of Hematology (2 papers)
- Partner nations
- Japan
In The Last Decade
Ayumi Gomyo
32 papers receiving 189 citations
Peers
Comparison fields: 5 of 40
- Hematology 120
- Endocrinology 16
- Clinical Biochemistry 18
- Genetics 24
- Oncology 48
Countries citing papers authored by Ayumi Gomyo
This map shows the geographic impact of Ayumi Gomyo'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 Ayumi Gomyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayumi Gomyo more than expected).
Fields of papers citing papers by Ayumi Gomyo
This network shows the impact of papers produced by Ayumi Gomyo. 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 Ayumi Gomyo. The network helps show where Ayumi Gomyo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayumi Gomyo, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 34 | |
| 2 | 2017 | 22 | |
| 3 | 2018 | 17 | |
| 4 | 2016 | 17 | |
| 5 | 2017 | 12 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 6 | |
| 12 | 2020 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2021 | 2 |
About Ayumi Gomyo
Ayumi Gomyo is a scholar working on Hematology, Epidemiology, Oncology, Immunology and Surgery, having authored 38 papers that have together received 192 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (20 papers), Cytomegalovirus and herpesvirus research (8 papers), Immune Cell Function and Interaction (6 papers), Neutropenia and Cancer Infections (5 papers), Acute Myeloid Leukemia Research (4 papers), Transplantation: Methods and Outcomes (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Hematology (120 citations), Endocrinology (16 citations), Clinical Biochemistry (18 citations), Genetics (24 citations) and Oncology (48 citations). Ayumi Gomyo has collaborated with scholars based in Japan. Frequent co-authors include Yu Akahoshi, Shun‐ichi Kimura, Shinichi Kako, Hideki Nakasone, Yoshinobu Kanda, Kazuaki Kameda, Koji Kawamura, Miki Sato, Masaharu Tamaki and Kiriko Terasako‐Saito. Their work appears in journals such as Biology of Blood and Marrow Transplantation, International Journal of Hematology, Transplantation and Cellular Therapy, Infectious Diseases and Annals of Hematology.
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.