Hitoshi Akiba
- Immunology top 10%
- Dermatology top 2%
- Immunology and Allergy top 5%
- Physiology
- Oncology
- Co-authors
- Jean‐François NicolasJeanne KehrenMaya KrastevaFumio KanekoMarie-Thérèse DucluzeauDominique KaiserlianFrançoise HorandKeiji Iwatsuki
- Topics
- T-cell and B-cell Immunology (5 papers)Immunotherapy and Immune Responses (3 papers)Dermatology and Skin Diseases (3 papers)
In The Last Decade
Hitoshi Akiba
13 papers receiving 404 citations
Peers
Comparison fields: 5 of 66
- Immunology 228
- Dermatology 201
- Immunology and Allergy 101
- Physiology 55
- Oncology 50
Countries citing papers authored by Hitoshi Akiba
This map shows the geographic impact of Hitoshi Akiba'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 Hitoshi Akiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Akiba more than expected).
Fields of papers citing papers by Hitoshi Akiba
This network shows the impact of papers produced by Hitoshi Akiba. 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 Hitoshi Akiba. The network helps show where Hitoshi Akiba may publish in the future.
Co-authorship network of co-authors of Hitoshi Akiba
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Akiba. A scholar is included among the top collaborators of Hitoshi Akiba 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 Hitoshi Akiba. Hitoshi Akiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 30 | |
| 3 | 15 | |
| 4 | Survival after gamma interferon intratumoral injections in a model of hepatocarcinoma. | 2 |
| 5 | Ultraviolet A irradiation inhibits thymus and activation-regulated chemokine (TARC/CCL17) production by a human keratinocyte HaCaT cell line. | 4 |
| 6 | Hypersensitivity to mosquito bites with natural-killer cell lymphocytosis: the possible implication of Epstein-Barr virus reactivation. | 22 |
| 7 | 163 | |
| 8 | 20 | |
| 9 | Subcorneal pustular dermatosis-type IgA pemphigus induced by thiol drugs. | 11 |
| 10 | In vivo, LE cell-like phagocytes in bullous systemic lupus erythematosus | 1 |
| 11 | 19 | |
| 12 | Contact dermatitis I. Pathophysiology of contact sensitivity. | 54 |
| 13 | 67 |
About Hitoshi Akiba
Hitoshi Akiba is a scholar working on Dermatology, Immunology and Rheumatology, having authored 13 papers that have together received 413 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (3 papers) and Dermatology and Skin Diseases (3 papers). The work is most often cited by research in Dermatology (201 citations), Immunology and Allergy (101 citations) and Immunology (228 citations). Hitoshi Akiba has collaborated with scholars based in Japan, France and Tunisia. Frequent co-authors include Jean‐François Nicolas, Jeanne Kehren, Maya Krasteva, Fumio Kaneko, Marie-Thérèse Ducluzeau, Dominique Kaiserlian, Françoise Horand, Keiji Iwatsuki, Jacques Descotes and Masataka Satoh. Their work appears in journals such as The Journal of Immunology, Journal of Investigative Dermatology and Journal of Dermatological Science.
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.