Hitoshi Kudo

565 citations
39 papers · 407 · h-index 12

Impact in

Papers in

    • Spine and Intervertebral Disc Pathology 24
    • Spinal Cord Injury Research 4
    • Cervical and Thoracic Myelopathy 23
    • Spinal Fractures and Fixation Techniques 14
    • Nerve Injury and Rehabilitation 4
    • Spinal Hematomas and Complications 2

Hitoshi Kudo

37 papers receiving 403 citations

Peers

Hitoshi Kudo
Comparison fields: 5 of 77
  • Pathology and Forensic Medicine 235
  • Internal Medicine 27
  • Surgery 258
  • Rheumatology 57
  • Genetics 39
Replace Toru Asari with:
Toru Asari Japan
Muhammad Taqi United States
Panya Luksanapruksa Thailand
Jung‐Shun Lee Taiwan
Norio Morimoto Japan
Joost de Vries Netherlands
James P. Higgins United States
Terence Verla United States
Randall J. Hlubek United States
Mark A. Ferrante United States
Hitoshi Kudo relative to Toru Asari Japan Toru Asari's profile →
Citations per field
00.5×1.5×
Toru Asari · 1×
Citations per year

Countries citing papers authored by Hitoshi Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201648
2 201134
3 201132
4 201124
5 202023
6 201222
7 200820
8 201819
9 201916
10 200914
11 201711
12 201811
13 202011
14 201110
15 201710
16 202010
17 20209
18 20199
19 20189
20 20218

About Hitoshi Kudo

Hitoshi Kudo is a scholar working on Pathology and Forensic Medicine, Surgery, Pharmacology, Molecular Biology and Internal Medicine, having authored 39 papers that have together received 407 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (24 papers), Cervical and Thoracic Myelopathy (23 papers), Spinal Fractures and Fixation Techniques (14 papers), Nerve Injury and Rehabilitation (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Spinal Cord Injury Research (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Spinal Hematomas and Complications (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (235 citations), Internal Medicine (27 citations), Surgery (258 citations), Rheumatology (57 citations) and Genetics (39 citations). Hitoshi Kudo has collaborated with scholars based in Japan, Thailand and United Kingdom. Frequent co-authors include Kanichiro Wada, Tōru Yokoyama, Toru Asari, Gentaro Kumagai, Takuya Numasawa, Yasuyuki Ishibashi, Kazunari Takeuchi, Satoshi Toh, Atsushi Ono and Ken‐Ichi Furukawa. Their work appears in journals such as Spine, European Journal of Orthopaedic Surgery & Traumatology, Clinical Spine Surgery A Spine Publication, Journal of Neurotrauma and Journal of Pharmacological Sciences.

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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