Tatsuhiro Joki

1.4k citations
31 papers · 1.1k indexed · h-index 15

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research
    • Immunotherapy and Immune Responses

Papers in

    • Glioma Diagnosis and Treatment 11
    • Virus-based gene therapy research 2
    • Immunotherapy and Immune Responses 7
    • Immune Cell Function and Interaction 5

Tatsuhiro Joki

29 papers receiving 1.1k citations

Peers

Tatsuhiro Joki
Comparison fields: 5 of 92
  • Genetics 216
  • Immunology 183
  • Pharmacology 138
  • Oncology 220
  • Biomaterials 103
Replace Keren Ziv with:
Keren Ziv Israel
Helena Motaln Slovenia
Anna Darabi Sweden
Kyu‐Sil Choi South Korea
Tugba Bagcı-Önder Türkiye
Shaojun Zhu China
Núria Rubio Spain
Dong‐Hun Woo South Korea
Venkata Ramesh Dasari United States
Quintino Giorgio D’Alessandris Italy
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Citations per field
00.5×3.4×
Keren Ziv · 1×
Citations per year

Countries citing papers authored by Tatsuhiro Joki

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuhiro Joki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20220
2 20196
3 201652
4 201517
5 201333
6 20130
7 201212
8 201211
9 201155
10 201115
11 200532
12 200136
13 200114
14 2001288
15 200038
16 199929
17 199913
18 199910
19 199934
20
[Rapid resolution of acute subdural hematoma; report of two cases].
199210

About Tatsuhiro Joki

Tatsuhiro Joki is a scholar working on Genetics, Immunology, Oncology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Nanoplatforms for cancer theranostics (3 papers), Virus-based gene therapy research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Neurosurgical Procedures and Complications (2 papers). The work is most often cited by research in Genetics (216 citations), Immunology (183 citations), Pharmacology (138 citations), Oncology (220 citations) and Biomaterials (103 citations). Tatsuhiro Joki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toshiaki Abe, Rona S. Carroll, Nicholas T. Seyfried, Tsuneya Ohno, Marcelle Machluf, Ian F. Dunn, Jian‐Hong Zhu, Peter McL. Black, Anthony Atala and Peter M. Black. Their work appears in journals such as Neurosurgery, International Journal of Cancer, Journal of Immunotherapy, Journal of Neuro-Oncology and Human Gene 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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