Go Yamamoto

4.3k citations
121 papers · 2.9k indexed · h-index 26

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Acute Myeloid Leukemia Research 17
    • Hematopoietic Stem Cell Transplantation 16
    • Chronic Myeloid Leukemia Treatments 7
    • Chronic Lymphocytic Leukemia Research 8

Go Yamamoto

105 papers receiving 2.8k citations

Peers

Go Yamamoto
Comparison fields: 5 of 118
  • Hematology 845
  • Immunology 634
  • Genetics 319
  • Oncology 645
  • Pathology and Forensic Medicine 369
Replace Mindaugas Andrulis with:
Mindaugas Andrulis Germany
Anand S. Lagoo United States
Masahiro Imamura Japan
Peter Neumeister Austria
Adnan Mansoor Canada
Andreas Petzer Austria
Nobuhiro Tsukada Japan
Bertrand Arnulf France
Junichi Kameoka Japan
Channing Yu United States
Go Yamamoto relative to Mindaugas Andrulis Germany Mindaugas Andrulis's profile →
Citations per field
00.5×1.5×
Mindaugas Andrulis · 1×
Citations per year

Countries citing papers authored by Go Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Go Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Go Yamamoto, 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 Go Yamamoto Line = papers co-authored together Go Yamamoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20240
5 202420
6 20231
7 20231
8 20225
9 20212
10 202050
11 20208
12 20176
13 201720
14 20150
15 201330
16 200765
17 2007180
18 20051
19 200531
20 2003435

About Go Yamamoto

Go Yamamoto is a scholar working on Hematology, Genetics, Microbiology, Pathology and Forensic Medicine and Endocrinology, having authored 121 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Acute Myeloid Leukemia Research (17 papers), Hematopoietic Stem Cell Transplantation (16 papers), Chronic Lymphocytic Leukemia Research (8 papers), Immune Cell Function and Interaction (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Viral-associated cancers and disorders (7 papers) and Streptococcal Infections and Treatments (7 papers). The work is most often cited by research in Hematology (845 citations), Immunology (634 citations), Genetics (319 citations), Oncology (645 citations) and Pathology and Forensic Medicine (369 citations). Go Yamamoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Motoshi Ichikawa, Shigeru Chiba, Seishi Ogawa, Takashi Asai, Takashi Saito, Sachiko Seo, Mineo Kurokawa, Kinuko Mitani, Tetsuya Yamagata and Hisamaru Hirai. Their work appears in journals such as Blood, International Journal of Hematology, Biology of Blood and Marrow Transplantation, The Journal of Immunology and Transplantation and Cellular Therapy.

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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