Hideki Hatta

555 citations
23 papers · 443 · h-index 10

Impact in

Papers in

    • TGF-β signaling in diseases 2
    • Cancer Cells and Metastasis 4
    • Cytokine Signaling Pathways and Interactions 2

Hideki Hatta

22 papers receiving 434 citations

Peers

Hideki Hatta
Comparison fields: 5 of 83
  • Reproductive Medicine 50
  • Immunology 97
  • Hepatology 30
  • Obstetrics and Gynecology 29
  • Oncology 91
Replace Zhao Wu with:
Zhao Wu China
Xiaomei Zhang China
Ming-Tsung Lai Taiwan
Ying Luo China
Yifei Lv China
Michael Pitiakoudis Greece
Yilin Wu China
Nasser Ghaly Yousif Iraq
Anna Junjie Shangguan China
Hideki Hatta relative to Zhao Wu China Zhao Wu's profile →
Citations per field
00.5×1.5×
Zhao Wu · 1×
Citations per year

Countries citing papers authored by Hideki Hatta

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Hatta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004147
2 201862
3 202044
4 202136
5 200930
6 202321
7 201614
8 201812
9 201411
10 202011
11 20069
12 20109
13 20178
14
Bone metastasis in gastrointestinal stromal tumors preferentially occurs in patients with original tumors in sites other than the stomach.
20158
15 20145
16 20164
17 20213
18 20242
19 20212
20 20012

About Hideki Hatta

Hideki Hatta is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 443 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Cancer Cells and Metastasis (4 papers), Diet, Metabolism, and Disease (3 papers), Liver Disease and Transplantation (2 papers), TGF-β signaling in diseases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Endometriosis Research and Treatment (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Reproductive Medicine (50 citations), Immunology (97 citations), Hepatology (30 citations), Obstetrics and Gynecology (29 citations) and Oncology (91 citations). Hideki Hatta has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Koichi Tsuneyama, Yasuo Takano, Shin Ishizawa, Johji Imura, Takeshi Nishida, Kazuyuki Tobe, Allah Nawaz, Osamu Yoshino, Zheng‐Guo Cui and Yosuke Ono. Their work appears in journals such as Scientific Reports, Hepatology International, Pathology International, Bioorganic Chemistry and International Journal of Oncology.

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