Yoshiki Ryoma

547 citations
15 papers · 449 indexed · h-index 12
Topics
Immune Response and Inflammation (10 papers)Immunotherapy and Immune Responses (6 papers)Immune Cell Function and Interaction (3 papers)
Partner nations
JapanUnited States

In The Last Decade

Yoshiki Ryoma

15 papers receiving 440 citations

Peers

Yoshiki Ryoma
Comparison fields: 5 of 62
  • Immunology 314
  • Oncology 158
  • Molecular Biology 90
  • Pulmonary and Respiratory Medicine 58
  • Surgery 42
Replace Tomoyuki Tano with:
Tomoyuki Tano Japan
Liling Wen China
Angelika Schlamp Germany
Chupeng Hu China
Philipp Stüve Germany
Fabricio Maschi Argentina
Florent Toscano France
Marine Oberkampf France
Chi-Mu Chuang Taiwan
Clive R.D. Carter United Kingdom
Yoshiki Ryoma relative to Tomoyuki Tano Japan Tomoyuki Tano's profile →
Citations per field
00.5×1.7×
Tomoyuki Tano · 1×
Citations per year

Countries citing papers authored by Yoshiki Ryoma

Since Specialization
Citations

This map shows the geographic impact of Yoshiki Ryoma'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 Yoshiki Ryoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiki Ryoma more than expected).

Fields of papers citing papers by Yoshiki Ryoma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoshiki Ryoma. 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 Yoshiki Ryoma. The network helps show where Yoshiki Ryoma may publish in the future.

Co-authorship network of co-authors of Yoshiki Ryoma

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiki Ryoma. A scholar is included among the top collaborators of Yoshiki Ryoma 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 Yoshiki Ryoma. Yoshiki Ryoma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 11
2 21
3
Randomized phase II trial of OK-432 in patients with malignant pleural effusion due to non-small cell lung cancer.
27
4 55
5 5
6 30
7 7
8 91
9
Biological effect of OK-432 (picibanil) and possible application to dendritic cell therapy.
48
10 12
11 67
12
Enhancement of anti-tumor immunity by lipoteichoic acid-related molecule isolated from OK-432, a streptococcal agent, in athymic nude mice bearing human salivary adenocarcinoma: role of natural killer cells.
20
13 29
14 13
15 13

About Yoshiki Ryoma

Yoshiki Ryoma is a scholar working on Immunology, Microbiology and Gastroenterology, having authored 15 papers that have together received 449 indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), Immunotherapy and Immune Responses (6 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (314 citations), Oncology (158 citations) and Microbiology (25 citations). Yoshiki Ryoma has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoichiro Moriya, Motoo Saito, Masato Okamoto, Mitsunobu Sato, Tetsuya Oshikawa, Tomoyuki Tano, Sharif Ahmed, Shin Kan, Sachiko Furuichi and Kensuke Miyake. Their work appears in journals such as JNCI Journal of the National Cancer Institute, PLANT PHYSIOLOGY and Cancer Research.

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.

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