Hideki Goto

1.5k total citations
96 papers, 597 citations indexed

About

Hideki Goto is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Hideki Goto has authored 96 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 30 papers in Hematology and 16 papers in Molecular Biology. Recurrent topics in Hideki Goto's work include Hematopoietic Stem Cell Transplantation (23 papers), CAR-T cell therapy research (12 papers) and Lymphoma Diagnosis and Treatment (11 papers). Hideki Goto is often cited by papers focused on Hematopoietic Stem Cell Transplantation (23 papers), CAR-T cell therapy research (12 papers) and Lymphoma Diagnosis and Treatment (11 papers). Hideki Goto collaborates with scholars based in Japan, United States and Czechia. Hideki Goto's co-authors include Takanori Teshima, Tomoyuki Endo, Katsuya Fujimoto, Masahiro Onozawa, Masayuki Yoshida, Daigo Hashimoto, Toshihiko Kobayashi, Y Harada, Takao Koike and Takahiro Kimura and has published in prestigious journals such as Blood, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Hideki Goto

79 papers receiving 580 citations

Peers

Hideki Goto
Comparison fields: 5 of 107
  • Oncology 187
  • Immunology 126
  • Hematology 122
  • Molecular Biology 94
  • Pulmonary and Respiratory Medicine 89
Replace Hiroshi Fujiwara with:
Hiroshi Fujiwara Japan
Maryam G. Rohani United States
Asim Ejaz United States
Arja‐Leena Kariniemi Finland
Reina Watanabe Japan
Silvana Rizzo Italy
Bela Balint Serbia
Eddi Di Marco Italy
Takashi Kanazawa Japan
Kerstin Gerlach Germany
Hiroshi Fujiwara Japan View profile →
Citations per field, relative to Hideki Goto
Hideki Goto · 1×
Citations per year, relative to Hideki Goto
Hideki Goto · 1×

Countries citing papers authored by Hideki Goto

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Goto

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 8
5 16
6 1
7 1
8 12
9 9
10 2
11 21
12 0
13 19
14 10
15
Development of Iron Catalyst Technologies to Improve Exhaust-emission Purification Performance for Gasoline Engines
2
16 0
17 0
18 1
19 0
20 2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026