Hitoshi Harada

2.8k citations
117 papers · 2.3k · h-index 30

Impact in

  • Physiology top 0.1%
    • Adenosine and Purinergic Signaling
    • Calcium signaling and nucleotide metabolism
  • Neurology top 5%
    • Barrier Structure and Function Studies

Papers in

    • Esophageal Cancer Research and Treatment 22
    • Surgical Simulation and Training 5
    • Adenosine and Purinergic Signaling 27
    • Calcium signaling and nucleotide metabolism 6

Hitoshi Harada

106 papers receiving 2.3k citations

Peers

Hitoshi Harada
Comparison fields: 5 of 121
  • Physiology 1.0k
  • Neurology 223
  • Endocrine and Autonomic Systems 130
  • Biological Psychiatry 41
  • Speech and Hearing 101
Replace Mitsutoshi Tsukimoto with:
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Hitoshi Harada relative to Mitsutoshi Tsukimoto Japan Mitsutoshi Tsukimoto's profile →
Citations per field
00.5×1.5×
Mitsutoshi Tsukimoto · 1×
Citations per year

Countries citing papers authored by Hitoshi Harada

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000125
2 2013109
3 2012107
4 2000103
5 200993
6 200688
7 200477
8 201074
9 200674
10 201474
11 201373
12 200473
13 201269
14 201269
15 201860
16 200359
17 201558
18 201252
19 201449
20 201245

About Hitoshi Harada

Hitoshi Harada is a scholar working on Surgery, Physiology, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 117 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (27 papers), Esophageal Cancer Research and Treatment (22 papers), Colorectal Cancer Surgical Treatments (12 papers), Gastric Cancer Management and Outcomes (9 papers), Calcium signaling and nucleotide metabolism (6 papers), Ion Transport and Channel Regulation (6 papers), Inflammatory Biomarkers in Disease Prognosis (6 papers) and Surgical Simulation and Training (5 papers). The work is most often cited by research in Physiology (1.0k citations), Neurology (223 citations), Endocrine and Autonomic Systems (130 citations), Biological Psychiatry (41 citations) and Speech and Hearing (101 citations). Hitoshi Harada has collaborated with scholars based in Japan, Netherlands and United Kingdom. Frequent co-authors include Mitsutoshi Tsukimoto, Shuji Kojima, Akira Ikari, Kuniaki Takagi, Yoshinori Moriyama, Erina Takai, Takato Takenouchi, Hiroshi Kitani, Masakuni Degawa and Yoshihiro Kakeji. Their work appears in journals such as Annals of Surgical Oncology, Anticancer Research, Surgical Endoscopy, Biochemical and Biophysical Research Communications and Surgery Today.

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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