Ryōji Kobayashi

11.3k citations
415 papers · 8.1k indexed · h-index 45

Ryōji Kobayashi

393 papers receiving 7.9k citations

Peers

Ryōji Kobayashi
Comparison fields: 5 of 166
  • Hematology 1.8k
  • Genetics 576
  • Molecular Biology 3.4k
  • Oncology 1.3k
  • Immunology 886
Replace Takashi Morita with:
Takashi Morita Japan
Kirk C. Hansen United States
Li J China
Meir Lahav Israel
David P. Witte United States
William L. Stanford United States
Hiroshi Kitamura Japan
William C. Aird United States
David Allan Canada
Roger C. Wiggins United States
Ryōji Kobayashi relative to Takashi Morita Japan Takashi Morita's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Ryōji Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Ryōji Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ryōji Kobayashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryōji Kobayashi Line = papers co-authored together Ryōji Kobayashi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20242
4 20230
5 20231
6 20221
7 20205
8 20196
9 20194
10 20186
11 201717
12 201610
13
Effects of cultivar and processing method of rice grain on ruminal disappearance characteristics.
201010
14 200932
15
Population pharmacokinetic modeling and pharmacodynamic assessment of cefozopran in pediatric patients.
20093
16 20087
17
ABRF ESRG 2005 Study: Identification of Seven Modified Amino Acids by Edman Sequencing
20064
18 19972
19 1991115
20 19685

About Ryōji Kobayashi

Ryōji Kobayashi is a scholar working on Hematology, Oncology and Pathology and Forensic Medicine, having authored 415 papers that have together received 8.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (59 papers), Acute Lymphoblastic Leukemia research (47 papers), Lymphoma Diagnosis and Treatment (38 papers), Neutropenia and Cancer Infections (31 papers), S100 Proteins and Annexins (28 papers), Acute Myeloid Leukemia Research (26 papers), Fluid Dynamics and Turbulent Flows (26 papers) and Childhood Cancer Survivors' Quality of Life (23 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (576 citations) and Molecular Biology (3.4k citations). Ryōji Kobayashi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hisashi Hidaka, Hiroshi Tokumitsu, Hiroyoshi Hidaka, Daisuke Suzuki, Hiroyuki Inuzuka, Yumi Ishikawa, Keizo Horibe, Hirozumi Sano, Kunihiko Kobayashi and Masahiro Tsuchida. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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